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[CFP] First international workshop on HPC for Urgent Decision making (UrgentHPC)
by Tumeo, Antonino 23 Jul '19

23 Jul '19

[Apologies if you receive multiple copies of this CFP] ======================================================================== CALL FOR PAPERS First international workshop on HPC for Urgent Decision making (UrgentHPC) In conjunction with SC19: The International Conference for High Performance Computing, Networking, Storage and Analysis, Sunday afternoon November 17, 2019, Denver, Colorado, USA. In cooperation with IEEE TCHPC. https://www.urgenthpc.com ======================================================================== Paper submission deadline: August 14, 2019 (AoE) Author notification: September 10, 2019 Camera ready deadline: September 30, 2019 Scope ===== Responding to disasters such as wildfires, hurricanes, extreme flooding, earthquakes, tsunamis, winter weather conditions, and accidents; technological advances are creating exciting new opportunities that have the potential to move HPC well beyond traditional computational workloads. Whilst HPC has a long history of simulating disasters, whatís missing to support emergency, urgent, decision making is fast, real-time acquisition of data and the ability to guarantee time constraints. Our ability to capture data continues to grow very significantly, and combining high velocity data and live analytics with HPC models can aid in urgently responding to real-world problems, ultimately saving lives and reducing economic loss. It's not just responding to disasters, but also making urgent decisions addressing more general issues such as human health emergencies and global diseases. The challenges here are significant, but if HPC can be proven as a tool in responding to these real-world issues, the impact for our community is huge. Leveraging HPC for urgent decision making requires expertise in a wide range of areas, from dealing with real-time data, to experience in generating results within a specific time frame (real-time constraints), and generating visualizations enabling front-line decision makers to make correct choices first time, every time. It isn't just technical challenges, but also policy issues that also need to be considered such as utilizing our HPC machines in a more interactive manner to enable the urgent exploration of numerous disaster responses. This workshop will bring together stakeholders, researchers and practitioners from across the HPC community to identify and tackle issues involved in using HPC for urgent decision making. Success stories, case-studies and challenges will be shared, with the goal of further building up a community around leveraging HPC as an important tool in urgently responding to disasters and societal challenges. Call for Papers ============ We invite you to submit both full and hot-topic research papers detailing original work in the area of using HPC for making urgent decisions. Topics of interest for workshop submissions include (but are not limited to): * Example use-cases and case-studies that use HPC for urgent decision making * Techniques for integrating HPC workflows with real-time data * Approaches to verify and validate unreliable real-time data, for instance from sensors, IoT and satellites * System design for data reduction and pre-processing at source, for instance using edge computing and heterogeneous resources such as FPGAs * The use of data formats and conversion techniques to support the handling of data from numerous and diverse sources * Algorithmic techniques to guarantee result generation in specific time frames, such as result refinement which generates more accurate results as time progresses * Studies of leveraging HPC for workloads with real-time time constraints * Changes to existing HPC technologies and policies that are required to support using HPC interactively * The ability for HPC codes to adapt their resource requirements dynamically, for instance via elastic compute * Visualization and presentation techniques to support rapid and accurate urgent decision making by the end user * Reduction and feature extraction of results to highlight critical issues of interest * Complimenting results with provenance data for additional context and certainty * Data analysis techniques for making urgent decisions in response to disasters Paper Submission Guidelines ====================== * Papers should be submitted electronically via the SC19 Submission Page (https://submissions.supercomputing.org) * All papers will be peer-reviewed and accepted papers published via IEEE TCHPC * Papers will be published via IEEE TCHPC and as such they must follow the IEEE formatting, templates available athttp://www.ieee.org/conferences_events/conferences/publishing/templates.h… * Full paper submissions are limited to 10 pages and hot-topic submissions 4 pages. The page limit includes figures, tables, and appendices, but does not include references, for which there is no page limit. * Submitted papers should not have appeared in or be under consideration for a different workshop, conference or journal. * In submitting the paper, the authors acknowledge that at least one author of an accepted submission will register for and attend the workshop. Questions? ========= There is more information available at https://www.urgenthpc.com and please feel free to email any questions to Nick Brown (n.brown(a)epcc.ed.ac.uk<mailto:n.brown@epcc.ed.ac.uk>) Organizers ========== * Nick Brown (EPCC at the University of Edinburgh) * Vinay Amatya (PNNL, DoE) * Deidre Brucker (NCAR) * Thierry Goubier (CEA) * Vyacheslav Olshevsky (KTH) Program Committee ================= * Guillaume Colin de Verdière (CEA) * Robert Rallo (PNNL) * Antonino Tumeo (PNNL) * Gerald Baumgartner, Louisiana State University * Gordon Gibb, EPCC at the University of Edinburgh * Stefano Markidis, KTH * Andreas Gerndt, DLR * Johannes Guenther, Intel * Sabri Pllana, Linnaeus University * Peter Messmer, NVIDIA * John Feo, Pacific Northwest National Laboratory * Steven W.D. Chien, KTH * Sergio Rivas-Gomez, KTH * Piero Poletti, FBK * Giorgio Guzzetta, FBK Supporting projects & organizations =================================== This workshop is supported by the VESTEC and LEXIS EU FET H2020 projects, along with PNNL and NCAR

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[CFP] IA^3 2019 - 9th SC Workshop on Irregular Applications: Architectures and Algorithms
by Tumeo, Antonino 23 Jul '19

23 Jul '19

[Apologies if you receive multiple copies of this CFP] ======================================================================== CALL FOR PAPERS First international workshop on HPC for Urgent Decision making (UrgentHPC) In conjunction with SC19: The International Conference for High Performance Computing, Networking, Storage and Analysis, Sunday afternoon November 17, 2019, Denver, Colorado, USA. In cooperation with IEEE TCHPC. https://www.urgenthpc.com ======================================================================== Paper submission deadline: August 14, 2019 (AoE) Author notification: September 10, 2019 Camera ready deadline: September 30, 2019 Scope ===== Responding to disasters such as wildfires, hurricanes, extreme flooding, earthquakes, tsunamis, winter weather conditions, and accidents; technological advances are creating exciting new opportunities that have the potential to move HPC well beyond traditional computational workloads. Whilst HPC has a long history of simulating disasters, whatís missing to support emergency, urgent, decision making is fast, real-time acquisition of data and the ability to guarantee time constraints. Our ability to capture data continues to grow very significantly, and combining high velocity data and live analytics with HPC models can aid in urgently responding to real-world problems, ultimately saving lives and reducing economic loss. It's not just responding to disasters, but also making urgent decisions addressing more general issues such as human health emergencies and global diseases. The challenges here are significant, but if HPC can be proven as a tool in responding to these real-world issues, the impact for our community is huge. Leveraging HPC for urgent decision making requires expertise in a wide range of areas, from dealing with real-time data, to experience in generating results within a specific time frame (real-time constraints), and generating visualizations enabling front-line decision makers to make correct choices first time, every time. It isn't just technical challenges, but also policy issues that also need to be considered such as utilizing our HPC machines in a more interactive manner to enable the urgent exploration of numerous disaster responses. This workshop will bring together stakeholders, researchers and practitioners from across the HPC community to identify and tackle issues involved in using HPC for urgent decision making. Success stories, case-studies and challenges will be shared, with the goal of further building up a community around leveraging HPC as an important tool in urgently responding to disasters and societal challenges. Call for Papers ============ We invite you to submit both full and hot-topic research papers detailing original work in the area of using HPC for making urgent decisions. Topics of interest for workshop submissions include (but are not limited to): * Example use-cases and case-studies that use HPC for urgent decision making * Techniques for integrating HPC workflows with real-time data * Approaches to verify and validate unreliable real-time data, for instance from sensors, IoT and satellites * System design for data reduction and pre-processing at source, for instance using edge computing and heterogeneous resources such as FPGAs * The use of data formats and conversion techniques to support the handling of data from numerous and diverse sources * Algorithmic techniques to guarantee result generation in specific time frames, such as result refinement which generates more accurate results as time progresses * Studies of leveraging HPC for workloads with real-time time constraints * Changes to existing HPC technologies and policies that are required to support using HPC interactively * The ability for HPC codes to adapt their resource requirements dynamically, for instance via elastic compute * Visualization and presentation techniques to support rapid and accurate urgent decision making by the end user * Reduction and feature extraction of results to highlight critical issues of interest * Complimenting results with provenance data for additional context and certainty * Data analysis techniques for making urgent decisions in response to disasters Paper Submission Guidelines ====================== * Papers should be submitted electronically via the SC19 Submission Page (https://submissions.supercomputing.org) * All papers will be peer-reviewed and accepted papers published via IEEE TCHPC * Papers will be published via IEEE TCHPC and as such they must follow the IEEE formatting, templates available athttp://www.ieee.org/conferences_events/conferences/publishing/templates.h… * Full paper submissions are limited to 10 pages and hot-topic submissions 4 pages. The page limit includes figures, tables, and appendices, but does not include references, for which there is no page limit. * Submitted papers should not have appeared in or be under consideration for a different workshop, conference or journal. * In submitting the paper, the authors acknowledge that at least one author of an accepted submission will register for and attend the workshop. Questions? ========= There is more information available at https://www.urgenthpc.com and please feel free to email any questions to Nick Brown (n.brown(a)epcc.ed.ac.uk<mailto:n.brown@epcc.ed.ac.uk>) Organizers ========== * Nick Brown (EPCC at the University of Edinburgh) * Vinay Amatya (PNNL, DoE) * Deidre Brucker (NCAR) * Thierry Goubier (CEA) * Vyacheslav Olshevsky (KTH) Program Committee ================= * Guillaume Colin de Verdière (CEA) * Robert Rallo (PNNL) * Antonino Tumeo (PNNL) * Gerald Baumgartner, Louisiana State University * Gordon Gibb, EPCC at the University of Edinburgh * Stefano Markidis, KTH * Andreas Gerndt, DLR * Johannes Guenther, Intel * Sabri Pllana, Linnaeus University * Peter Messmer, NVIDIA * John Feo, Pacific Northwest National Laboratory * Steven W.D. Chien, KTH * Sergio Rivas-Gomez, KTH * Piero Poletti, FBK * Giorgio Guzzetta, FBK Supporting projects & organizations =================================== This workshop is supported by the VESTEC and LEXIS EU FET H2020 projects, along with PNNL and NCAR

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[CFP] IA^3 2019 - 9th SC Workshop on Irregular Applications: Architectures and Algorithms
by Tumeo, Antonino 23 Jul '19

23 Jul '19

[Apologies if you receive multiple copies of this CFP] IA^3 2019 9th Workshop on Irregular Applications: Architectures and Algorithms http://hpc.pnl.gov/IA3 November 18, 2019 Colorado Convention Center, Denver, CO In conjunction with SC19 Sponsored by IEEE TCHPC Accepted papers will be published in the IEEE Digital Library through IEEE TCHPC. -------------------- Call for Papers -------------------- Irregular applications occur in many subject matters. While inherently parallel, they exhibit highly variable execution performance at a local level due to unpredictable memory access patterns and/or network transfers, divergent control structures, and data imbalances. Moreover, they often require fine-grain synchronization and communication on large-data structures such as graphs, trees, unstructured grids, sparse matrices, deep nets, tables, and their combinations (such as, for example, attributed graphs). They have a significant degree of latent parallelism, which however is difficult to exploit due to their complex behavior. Current high performance architectures rely on data locality and regular computation to reduce access latencies, and often do not cope well with the requirements of these applications. Furthermore, irregular applications are difficult to scale on current supercomputing machines, due to their limits in fine-grained synchronization and small data transfers. Irregular applications pertain both to well established and emerging fields, such as machine learning, social network analysis, bioinformatics, semantic graph databases, Computer Aided Design (CAD), and computer security. Many of these application areas also process massive sets of unstructured data, which keep growing exponentially. Emerging supercomputing applications are moving towards a convergence of scientific simulation, data analytics, and learning algorithms, mixed in various ways. Addressing the issues of irregular applications on current and future architectures will become critical to solve the challenges in science and data analysis of the next few years. This workshop seeks to explore solutions for supporting efficient execution of irregular applications in the form of new features at the level of the micro- and system-architecture, network, languages and libraries, runtimes, compilers, analysis, algorithms. Topics of interest, of both theoretical and practical significance, include but are not limited to: - Micro- and System-architectures, including multi- and many-core designs, heterogeneous processors, accelerators (GPUs, vector processors, Automata processor), reconfigurable (coarse grained reconfigurable and FPGA designs) and custom processors - Network architectures and interconnect (including high-radix networks, optical interconnects) - Novel memory architectures and designs (including processors-in memory) - Impact of new computing paradigms on irregular workloads (including neuromorphic processors and quantum computing) - Modeling, simulation and evaluation of novel architectures with irregular workloads - Innovative algorithmic techniques - Combinatorial algorithms (graph algorithms, sparse linear algebra, etc.) - Impact of irregularity on machine learning approaches - Parallelization techniques and data structures for irregular workloads - Data structures combining regular and irregular computations (e.g., attributed graphs) - Approaches for managing massive unstructured datasets (including streaming data) - Languages and programming models for irregular workloads - Library and runtime support for irregular workloads - Compiler and analysis techniques for irregular workloads - High performance data analytics applications (including graph databases and solutions that combine graph algorithms with machine learning) - Applications that integrate scientific simulation, data analytics, and learning, and require efficient execution of irregular workloads Besides regular papers, papers describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged. We solicit both 8-page regular papers and 4-page position papers. Authors of exciting but not mature enough regular papers may be offered the option of a short 4-page paper and related short presentation. -------------------- Important Dates -------------------- Abstract Submission: August 28, 2019 Position or Regular Paper Submission: September 4, 2019 Notification: October 1, 2019 Camera-ready: October 10, 2019 Workshop: November 18, 2019 -------------------- Submissions -------------------- Submission site: https://submissions.supercomputing.org Submitted manuscripts may not exceed eight (8) pages in length for regular papers and four (4) pages for position papers including figures, tables and references. Authors of regular papers will be able to provide up to one (1) additional pages for the Artifact Description (AD) appendix and, after paper acceptance, up to two (2) additional pages for the Artifact Evaluation (AE) appendix. The templates are available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html. Accepted papers will be published in the IEEE Digital Library through IEEE TCHPC. -------------------- Artifact Description & Evaluation -------------------- This edition of the workshop invites authors of regular papers to follow a reproducibility initiative like the main SC Conference, with specific appendices for the Artifact Description (AD) and the Artifact Evaluation (AE). Please refer to the SC reproducibility page for further details on the rationale behind AD and AE: https://sc19.supercomputing.org/submit/reproducibility-initiative/. Authors of regular papers will be able to use up to one (1) additional page to provide an Artifact Description (AD) Appendix, describing the details of their software environments and computational experiments to the extent that an independent person could replicate their results. This additional page is voluntary, and must focus only on details on software environments and methods to execute the experiments. It should not add details on the proposed technical approaches. If a paper has no computational results, the appendix only needs to mention that computational results are not part of the paper. Additionally, authors of accepted regular papers will be invited to formally submit their supporting materials to the Artifact Evaluation (AE) process. The process is voluntary, but authors that will participate in the AE will be eligible for the Best Paper Award of the workshop. Supporting materials for the AE include access to the actual software artifact, shared publicly (for example, through the CK - Collective Knowledge - https://github.com/ctuning/ck format), and two (2) further additional pages of the paper that details how to reproduce the results of the paper. For details on how to submit supporting materials to the AE process, please refer to: http://ctuning.org/ae/submission.html. Authors participating in the AE will receive an assessment of the artifact, and the related badge on their paper. For any additional question on the AD and the AE please contact the Artifact Evaluation Chair Flavio Vella at mailto:Flavio.Vella@unibz.it. -------------------- Organizers -------------------- Antonino Tumeo (PNNL), mailto:antonino.tumeo@pnnl.gov John Feo (PNNL), mailto:john.feo@pnnl.gov Vito Giovanni Castellana (PNNL), mailto:vitoGiovanni.castellana@pnnl.gov -------------------- Proceedings Chair -------------------- Marco Minutoli (PNNL and WSU), mailto:marco.minutoli@pnnl.gov -------------------- Artifact Evaluation Chair -------------------- Favio Vella (Free University of Bozen), mailto:Flavio.Vella@unibz.it -------------------- Technical Program Committee -------------------- Nesreen Ahmed, Intel, US Ashwin M. Aji, AMD, US Kubilay Atasu, IBM Zürich, CH Scott Beamer, University of California, Santa Cruz, US Jonathan Beard, ARM, US Michela Becchi, North Carolina State University, US Sanjukta Bhowmick, University of North Texas, US Erik Boman, Sandia National Laboratories, US David Brooks, Harvard University, US Aydin Buluç, Lawrence Berkeley National Laboratory, US Anastasiia Butko, Lawrence Berkeley National Laboratory, US Tim Davis, Texas A&M University, US Assefaw Gebremedhin, Washington State University, US Rajiv Gupta, University of California, Riverside, US George Karypis, University of Minnesota, US Peter M. Kogge, Notre Dame University, US Manoj Kumar, IBM TJ Watson, US John Leidel, Tactical Computing Labs, US Kamesh Madduri, Pennsylvania State University, US José Moreira, IBM TJ Watson, US Miquel Moretó, Barcelona Supercomputing Center and Universitat Politècnica de Catalunia, ES Walid Najjar, University of California, Riverside, US Maxim Naumov, Facebook, US Fanny Nina-Paravecino, Microsoft, US Roger Pearce, Lawrence Livermore National Laboratory, US Cynthia Phillips, Sandia National Laboratories, US Keshav Pingali, University of Texas, Austin, US Alejandro Rico, ARM, US Jason Riedy, Georgia Tech, US John Shalf, Lawrence Livermore National Laboratory, US Edgar Solomonik, University of Illinois, Urbana Champaign, US Ruud van der Pas, Oracle, US Ana Lucia Varbanescu, University of Amsterdam, NL Jishen Zhao, University of California, San Diego, US

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CFP - Special Session at PDP 2020 on HPC in Modelling and Simulation (HPCMS) in Västerås (Sweden)
by William Spataro 22 Jul '19

22 Jul '19

(sorry for cross postings) ************************************************************************** CALL FOR PAPERS: Special Session on High Performance Computing in Modelling and Simulation (HPCMS) Within PDP 2020 (www.pdp2020.com) The 28th Euromicro International Conference on Parallel, and Network-Based Computing Västerås (Sweden) 11-13 March 2020 http://www.pdp2020.com/specialsessions/hpcms/hpcms.html Deadline: September 15th, 2019 Contact: William Spataro - spataro(a)unical.it ************************************************************************* AIMS AND SCOPE The development of models through which computers can simulate the evolution of artificial and natural systems is fundamental for the advancement of Science. In the last decades, the increasing power of computers has allowed to considerably extend the application of computing methodologies in research and industry, but also to the quantitative study of complex phenomena. This has permitted a broad application of numerical methods for differential equation systems (e.g., FEM, FDM, etc.) on one hand, and the application of alternative computational paradigms, such as Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence, etc., on the other. These latter have demonstrated their effectiveness for modelling purposes when traditional simulation methodologies have proven to be impracticable. Following the success of our past HPCMS workshops at PDP (since 2014), we are glad to invite you to our sixth edition which will take place in Vasteras (Västerås) (Sweden). An important mission of the HPCMS Workshop is to provide a platform for a multidisciplinary community composed of scholars, researchers, developers, educators, practitioners and experts from world leading Universities, Institutions, Agencies and Companies in Computational Science, and thus in the High Performance Computing for Modelling and Simulation field. HPCMS intent is to offer an opportunity to express and confront views on trends, challenges, and state-of-the art in diverse application fields, such as engineering, physics, chemistry, biology, geology, medicine, ecology, sociology, traffic control, economy, etc. Topics of interest include, but are not limited to, the following: - High-performance computing in computational science: intra-disciplinary and multi-disciplinary research applications - Complex systems modelling and simulation - Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence implementations - Integrated approach to optimization and simulation - MPI, OpenMP, GPGPU applications in Computational Science - Optimization algorithms, modelling techniques related to optimization in Computational Science - High-performance Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems - Hardware approaches of high performance computing in modeling and simulation IMPORTANT DATES Paper submission: 15 September 2019 Acceptance notification: 20 October 2019 Camera ready due: 11 December 2019 Conference: 11 - 13 March 2020 Submission guidelines Prospective authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt). Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors own work should appear as "omitted for blind review" entries. For submission, please use the following link and select the HPCMS session: http://www.easychair.org/conferences/?conf=pdp2020 and select the "High Performance Computing in Modelling and Simulation" track. Manuscript submission Publication All accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted for inclusion in Xplore and the CSDL, and for indexing, among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge. Special Issue As for previous editions, organizers of the HPCMS session are planning a Special Issue of an important international ISI Journal, based on distinguished papers that will be accepted for the session. Organizers William Spataro - University of Calabria, Italy Georgios Sirakoulis - Democritus University of Thrace, Greece Giuseppe A. Trunfio - University of Sassari, Italy Rocco Rongo, University of Calabria, Italy Andrea Giordano, ICAR-CNR, Italy Program Committee Angelos Amanatiadis, Democritus University of Thrace, Greece Donato D'Ambrosio, University of Calabria, Italy Pawel Topa, AGH University of Science and Technology, Poland Gianluigi Folino, ICAR-CNR, Italy Lou D'Alotto, York College/CUNY, New York, USA Antonios Gasteratos, Democritus University of Thrace, Greece Ioakeim Georgoudas, Democritus University of Thrace, Greece Marco Beccutti, University of Torino, Italy Rolf Hoffmann, Darmstadt University, Germany Ioannis Karafyllidis, Democritus University of Thrace, Greece Yaroslav Sergeyev, University of Calabria, Italy Antisthenis Tsompanas, University of the West of England, UK Rocco Rongo, University of Calabria, Italy Georgios Sirakoulis, Democritus University of Thrace, Greece William Spataro, University of Calabria, Italy Giuseppe A. Trunfio, University of Sassari, Italy Marco Villani, University of Modena and Reggio Emilia, Italy Jaroslaw Was, AGH University of Science and Technology, Poland Davide Spataro, ASML, The Netherlands Massimo Cafaro, University of Salento, Italy Andrea Giordano, ICAR-CNR, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Gihan R. Mudalige, University of Warwick, UK Alessio De Rango, University of Calabria, Italy -- °-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° William Spataro Department of Mathematics & Computer Science High Performance Computing Center University of Calabria I-87036 Arcavacata di Rende (CS) Italy Phone(s) : +39.0984.49.3691 / 4875 / 6464 Fax : +39.0984.493570 Member of the OpenCAL Team (https://github.com/OpenCALTeam) Web: www.mat.unical.it/spataro Email: spataro(a)unical.it -°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°

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Call For Papers - Data Science for Future Energy Systems - HiPC 2019 Workshop
by sanmukh＠hipc.org 20 Jul '19

20 Jul '19

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** First Workshop on Data Science for Future Energy Systems - HiPC Workshop 2019 https://hipc.org/dsfes 17-20 December 2019 Hyderabad, India CALL FOR WORKSHOP PAPER An Energy System is defined as a system primarily designed to supply energy services to end users. Such systems form the backbone of modern economy and include power grids, oilfields, heating/cooling systems, etc. The design of efficient, reliable and scalable Energy Systems for the future requires making them smarter and transitioning them into Future Energy Systems via novel data driven solutions built on top of the existing monitoring and control infrastructure. The goal of this workshop is to highlight and encourage discussions regarding novel applications of data science and data analytics techniques in the domain of Energy Systems such as smart (power) grids, smart oilfields, smart heating/cooling systems etc. Data driven techniques enabling transition to Future Energy Systems via improved sustainability and electrification of the energy systems, Uberization of the energy systems, mobility changes due to future energy systems, etc. are solicited. This workshop seeks submissions related to the following topic areas as applicable to the domain of future energy systems: * Discovery of knowledge and insights using data * Data Analytics Applications: Learning, prediction, anomaly detection, pattern recognition, search, mining, etc. * Data management/infrastructure * Data privacy/security * Data driven modeling * Data driven decision making * Data driven techniques enabling energy transition for improved sustainability and electrification * Uberization of energy systems enabling peer-to-peer transactions, minimizing distance between the producer and consumers, user rating system for quality of service, etc. * Mobility changes due to future energy systems MANUSCRIPT GUIDELINES Submitted manuscripts should be structured as technical papers and may not exceed six (6) single-spaced double-column pages using 10-point size font on 8.5 x 11 inch pages (IEEE conference style), including figures, tables, and references. See IEEE style templates at this page for details. Electronic submissions must be in the form of a readable PDF file. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Presentation of an accepted paper at the workshop is a requirement of publication. Any paper that is not presented at the conference will not be included in proceedings. IMPORTANT DATES Paper Submission: September 20th, 2019 Notification to Authors: October 14th, 2019 Workshop camera-ready: October 28th, 2019 SUBMISSION PORTAL Easychair Submission Link: https://easychair.org/conferences/?conf=dsfes2019 ORGANIZING COMMITTEE Sanmukh R. Kuppannagari, University of Southern California, USA Chayan Sarkar, TCS Research & Innovation, India PROGRAM COMMITTEE MEMBERS Ram Balachandran, India Charalampos Chelmis, University of Albany, USA Sanmukh R. Kuppannagari (organizer), University of Southern California, USA Akshay Uttama Nambi, Microsoft Research, India Anand Panangadan, California State University, USA Laks Raghupati, Shell, India Kiran Sajjanshetty, Voyage Auto Inc., USA Chayan Sarkar (organizer), TCS Research & Innovation, India Ajitesh Srivastava, University of Southern California, USA Mahima Agumbe Suresh, San Jose State University, USA

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Call for Workshop Papers - IEEE International Conference on High Performance Computing, Data, and Analytics 2019
by sanmukh＠hipc.org 19 Jul '19

19 Jul '19

********************************************************************** We apologize if you received multiple copies of this message Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2019 CALL FOR WORKSHOP PAPERS ********************************************************************** The 26th annual IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2019) will be held at the Hyderabad International Convention Centre, Hyderabad, India, during 17-20 December 2019. Complementing the main technical program, HiPC workshops serve to broaden the technical scope of the conference in emerging areas of high performance computing, communication, data and analytics and their applications. Below is the listing of the workshops to be held on the first day of the conference, December 17th. Please follow the links below for a detailed description and the Call for Papers of each workshop. * Multi-tier Big Data Pipelines from Edge to the Cloud Data Centers - https://hipc.org/bigdata/ * Workshop on Data Science for Future Energy Systems - https://hipc.org/dsfes/ * Workshop on Memory and Storage Systems 2019 (WoMSS) - http://hipc.org/womss/ IMPORTANT DATES Paper Submission Deadline: September 20, 2019 WORKSHOP CO-CHAIRS * Vandana Janeja, University of Maryland, Baltimore County, USA * Antonino Tumeo, Pacific Northwest National Laboratory, USA Workshops co-chairs may be contacted at workshops(a)hipc.org.

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Call for IRUS Session Leads - IEEE International Conference on High Performance Computing, Data, and Analytics 2019
by sanmukh＠hipc.org 18 Jul '19

18 Jul '19

********************************************************************** We apologize if you received multiple copies of this Call Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2019 CALL FOR IRUS Session Leads ********************************************************************** BACKGROUND ON CONFERENCE HiPC, Data and Analytics is Asia's premier IEEE international annual conference on computational and data sciences. The 26th edition (https://hipc.org/) of this conference will be held in Hyderabad during December 17-20. BACKGROUND ON SYMPOSIUM Industry Research and User Symposium (IRUS) brings together solution providers and users of HPC, cloud and data platforms, providing a venue where they can share their challenges and successes and discuss relevant technology issues related to computational and data sciences. Previous IRUS sessions* had tremendous participation from conference attendees and included senior speakers from industry like Amazon, Flipkart, Intel, Microsoft, Shell and Xilinx, academia like CERN, IISC and TIFR and start-ups such as Khosla Labs and Forus Health. *PREVIOUS IRUS SESSION LINKS 2018: https://hipc.org/hipc2018/industry-research-and-user-symposium/ 2017: https://hipc.org/hipc2017/industry-research-and-user-symposium/ 2016: https://www.hipc.org/hipc2016/irus.php CALL FOR IRUS SESSION Leads We are looking for Leaders from industry or academia to help put together a great IRUS session on a relevant topic in computational and data sciences. As a session lead, you are responsible to organize an IRUS session (~2 hours) during a suitable slot in the conference duration. You will have freedom on the contents and panelists you wish to invite – you will be supported by the HiPC team in local logistics. WHAT'S THERE FOR YOU? * Opportunity to lead session in an area of your interest within computational and data science * Help shape the agenda amongst leading industry practitioners and academic experts from around the world * Engage with student and young researchers showcase your ideas and develop as a thought leader HOW TO APPLY (LAST DATE: JULY 31, 2019) Drop a line to: Chiranjib Sur (HiPC 2019 Conference General Chair) – sur.chiranjib(a)hipc.org Laks Raghupathi (HiPC 2019 IRUS Chair) – laks.aarthi(a)gmail.com

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CFP - CloudCom 2019 (Cloud Computing Technology and Science), Dec. 2019, Sydney, Australia
by Jesson Butt 17 Jul '19

17 Jul '19

Call for papers: The 11th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2019) will be held in Sydney, Australia on 11-13 December 2019. Website: http://www.swinflow.org/confs/2019/cloudcom/ Key dates: Submission Deadline: August 10, 2019 (11:59pm UTC/GMT) Notification: September 15, 2019 Final Manuscript Due: October 8, 2019 Submission site: http://www.swinflow.org/confs/2019/cloudcom/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Future Generation Computer Systems, Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Pattern Recognition Letters. =========== Introduction CloudCom is the premier conference on Cloud Computing worldwide, attracting researchers, developers, users, students and practitioners from the fields of big data, systems architecture, services research, virtualization, security and privacy, high performance computing, always with an emphasis on how to build cloud computing platforms with real impact. The conference is co-sponsored by the Institute of Electrical and Electronics Engineers (IEEE), is steered by the Cloud Computing Association, and draws on the excellence of its world-class Program Committee and its participants. Topics of interest of CloudCom 2019 include, but are not limited to: - Architecture, Storage and Virtualization - Cloud Services and Applications - Security, Privacy and Trust - Edge Computing and Distributed Cloud (1) Track 1: Architecture, Storage and Virtualization - Intercloud architecture models - Virtual Machines (VMs), containers, unikernels and microservices - Cloud services delivery models, campus integration & “last mile” issues - Virtualization technology and enablers (network virtualization, software-defined networking) - Networking technologies - Cloud system design with FPGAs, GPUs, APUs - Storage & file systems - Scalability & performance - Resource provisioning, monitoring, management & maintenance - Operational, economic & business models - Green data centers - Computational resources, storage & network virtualization - Resource monitoring - Virtual desktops - Resilience, fault tolerance, disaster recovery - Modeling & performance evaluation - Disaster recovery - Energy efficiency (2) Track 2: Cloud Services and Applications - XaaS (everything as a service including IaaS, PaaS, and SaaS) - Cloud services models & frameworks - Service deployment and orchestration in the Cloud - Cloud service management - Cloud workflow management - Cloud services reference models & standardization - Cloud-powered services design - Cloud elasticity - Machine learning and systems interactions - Data management applications & services - Service for computing-intensive applications - Mining and analytics - Data-provisioning services - Cloud programming models, benchmarks, and tools - Cloud-based services & protocols - Fault-tolerance & availability of cloud services and applications - Application development and debugging tools - Business models & economics of cloud services (3) Track 3: Security, Privacy and Trust - Accountability & audit - Authentication & authorization - Cloud integrity - Blockchain Cloud services - Cryptography in the Cloud - Hypervisor security - Identity management & security as a service - Prevention of data loss or leakage - Secure, interoperable identity management - Trust & credential management - Trust models for cloud services - Usable security Risk management in cloud computing environments - Privacy policy framework for clouds - Privacy-preserving data mining for clouds - Information sharing and data protection in the cloud - Cryptographic protocols against internal attacks in clouds - Privacy protection in cloud platforms - Energy/cost/efficiency of security in clouds (4) Track 4: Edge Computing and Distributed Cloud - Cloudlet-enabled applications - Distributed Cloud Infrastructure - Foundations and principles of distributed cloud computing - Architectural models, prototype implementations and applications - Cloud brokers and coordination across multiple resource managers - Interoperability and mobility - Software infrastructure for cloudlets - Dynamic resource, service and context management on edge computing - Fog Computing - IoT cloud architectures & models - Cloud-based context-aware IoT - Economics and pricing - Experience with and performance evaluation of existing deployments and measurements (public, private, hybrid, federated environments) (5) Short Papers, Posters, and Demo Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2019/cloudcom/submission.htm. Publications Accepted and presented papers will be included into the conference proceedings. Distinguished papers presented at the conference, after further revision, will be published in special issues of selected journals. General Chairs Albert Zomaya, The University of Sydney, Australia Rajkumar Buyya, The University of Melbourne, Australia Laurence Yang, St. Francis Xavier University, Canada Program Chairs Jinjun Chen, Swinburne University of Technology, Australia Rajiv Ranjan, Newcastle University, UK Aniello Castiglione, University of Naples Parthenope, Italy Workshops and Tutorials Chairs Xuyun Zhang, The University of Auckland, New Zealand Short Papers, Posters, and Demo Chair Muneeb Hassan, Swinburne University of Technology, Australia Phd Consortium Chair Deepak Puthal, Newcastle University, UK Track 1: Architecture, Storage and Virtualization Luiz F. Bittencourt, University of Campinas (UNICAMP), Brazil Muhammad Usman, Federation University, Australia Track 2: Cloud Services and Applications Laura Ricci, University of Pisa, Italy James Zheng, Macquarie University, Australia Track 3: Security, Privacy and Trust Martin Gilje Jaatun, University of Stavanger, Norway Li Li, Monash University, Australia Track 4: Edge Computing and Distributed Cloud Sarunas Girdzijauskas, KTH, Sweden Xiao Liu, Deakin University, Australia

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ParCo2019 Symposium on Tools and Infrastructure for Reproducibility in Data-Intensive Applications
by Sandro Fiore 08 Jul '19

08 Jul '19

[Apologies if you got multiple copies of this email] ============================================================================ ParCo2019 Symposium on Tools and Infrastructure for Reproducibility in Data-Intensive Applications September 10, 2019 in Prague https://sites.google.com/cmcc.it/parco2019-reprod-symposium/home <https://sites.google.com/cmcc.it/parco2019-reprod-symposium/home> ============================================================================ Overview Meaningful advances in science and engineering are increasingly predicated on data-driven decision making. For these decisions to be valid, it is essential that the one not only record the process by which results were produced, but be able to reproduce the data involved at every step in the process. While we are all used to tracking source code revisions, and keeping track of program inputs and outputs, the increased complexity of end-to-end computing pipelines, coupled with new big-data and machine learning algorithms, imposes significant complexity on tracking all of the steps and associated data that went into producing a result. For example, keeping track of exactly what data use used for a training set vs. an evaluation set, what cleaning was done, what analysis was done on the results to evaluate performance, and what additional experiments were performed. With the ever-increasing number, size, and complexity of the data used in data-intensive applications, reproducing results from these types of investigations becomes increasingly difficult. While no-one deliberately sets out to create un-reproducible results, recent surveys of the literature shows that the ability to reproduce data-intensive results are the exception and not the rule. For these reasons, a symposium on issues, tools and infrastructure for data intensive applications is highly germane to the ParCo community. In this symposium, we propose to review current state of the art in reproducibility in data-intensive computing applications. We will cover three primary topic areas: - Reproducibility challenges that are specific to science and engineering activities that have data-intensive computing as a core aspect of the process - Infrastructure, tools and methods that are currently available for reproducible data-intensive applications, and gaps and challenges that need to be addressed. - How to increase the adoption of methods for reproducible data-intensive applications across the research community. Dates: - Submission of extended abstracts/draft papers: 31 July 2019 - Notification of acceptance for presentation at the Symposium: 10 August 2019 - Submission of full papers: 10 September 2019 - Symposium: 10 September, 2019 - Notification of acceptance of full papers for publication: 30 September 2019 - Deadline for submission of full papers for proceedings: 31 October 2019 Submission guidelines: - Extended abstracts should be ca. 2 pages. Full papers are allowed the same number of pages as all other papers included in the proceedings, i.e. 10 pages. - Contributions should be submitted by e-mail to the Symposium organisers at: sandro [dot] fiore [at] cmcc [dot] it , foster [at] uchicago [dot] edu , carl [at] isi [dot] edu - Please specify in the subject of your email: [Symposium contribution] Organizers: - Sandro Fiore Euro-Mediterranean Center on Climate Change - Ian Foster University of Chicago and Argonne National Laboratory - Carl Kesselman University of Southern California Useful Information about ParCo2019 - Location and dates: Prague, Czech Republic, 10-13 September 2019 - Conference website: https://www.parco.org/ <https://www.parco.org/> - Symposium page: https://www.parco.org/symposia.html <https://www.parco.org/symposia.html> *********************************************** Sandro Fiore, PhD Head of the Data Science and Learning Research Team Advanced Scientific Computing (ASC) Division Euro-Mediterranean Center on Climate Change (CMCC Foundation) Via Augusto Imperatore 16 - 73100 Lecce (Italy) http://www.cmcc.it/ <http://www.cmcc.it/> email: sandro.fiore(a)cmcc.it <mailto:sandro.fiore@cmcc.it> Linkedin: https://it.linkedin.com/pub/sandro-fiore-ph-d/8/ba3/80 <https://it.linkedin.com/pub/sandro-fiore-ph-d/8/ba3/80> GScholar: https://scholar.google.com/citations?user=VmTh7jcAAAAJ&hl=en <https://scholar.google.com/citations?user=VmTh7jcAAAAJ&hl=en> ************************************************

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Call for Papers - CCGrid 2020
by C.-H. Hsu 03 Jul '19

03 Jul '19

===================================================================== The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020) May 11-14, 2020, Melbourne, Australia Website: http://cloudbus.org/ccgrid2020/ ===================================================================== Call for Papers Tremendous advances in processing, communication and systems/middle-ware technologies are leading to new paradigms and platforms for computing, ranging from computing Clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog/Edge Computing for Internet of Things (IoT)/Big Data applications. CCGrid is a series of very successful conferences, sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC) and ACM (Association for Computing Machinery), with the overarching goal of bringing together international researchers, developers, and users and to provide an international forum to present leading research activities and results on a broad range of topics related to these platforms and paradigms and their applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2020 conference. In 2020, CCGrid will return to Melbourne, Australia, to celebrate its 20th anniversary. CCGrid 2020 will have a special focus on three important issues that are significantly influencing all aspects of Cluster, Cloud, and Internet computing: Adaptive Elastic Computing, Green Computing, and Cyber-Physical Computing. Topics of interest include, but are not limited to: Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, etc. More decentralized approaches to cloud computing. Edge/fog/mist computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing. Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs. Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge. Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems. Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques. Performance Modelling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. Cyber-Security and Privacy: Cloud security and trust. Access control. Data privacy and integrity. Regulation. Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness. Applications: Data Science, Artificial Intelligence, Cyber-Physical Systems, etc. Applications to real and complex problems in science, engineering, business and society. User studies. Experiences with large-scale deployments systems and data science applications. Distributed AI/Machine Learning on the cloud. Data streaming analytics for intelligent transportation systems. ---------------------------------------------------------- Chairs and Committees ---------------------------------------------------------- General Chair: Rajkumar Buyya, University of Melbourne, Australia. General Vice Chairs: Dhabaleswar Panda, Ohio State University, USA Jin Hai, Huazhong University of Science and Technology, China Massimo Villari, The University of Messina, Italy Program Committee Co-Chairs: Carlos A Varela, RPI, USA Laurent Lefevre, INRIA, France Workshops Co-Chairs: George Pallis, The University of Cyprus, Cyprus Borja Sotomayor, The University of Chicago, USA Doctoral Symposium Chairs : Anne-Cecile Orgerie, Inria, France Ivan Rodero, The State University of New Jersey, USA Posters Co-Chairs : Hari Subramoni, Ohio State University, USA Joanna Kolodziej, National Research Institute (NASK), Poland Student Travel Awards Chair: Lena Mashayekhy, University of Delaware, USA SCALE Challenge Chair : Yogesh Simmhan, Indian Institute of Science, India Research/Product Demonstrations Chairs : Rodrigo Calheiros, Western Sydney University, Australia Proceedings Co-Chair : Omer Rana, Cardiff University, UK Adel N. Toosi, Monash University, Australia Publicity Co-Chairs: Jithin Jose, Microsoft, USA Stefan Schulte, Vienna University of Technology, Austria Bahman Javadi, Western Sydney University, Australia Mohsen Amini, The University of Louisiana at Lafayette, USA Ching-Hsien Hsu, National Chung Cheng University, Taiwan Carlos Westphall, Federal University of Santa Catarina, Brazil Cyber Chair : Mohammad Goudarzi, The University of Melbourne, Australia Important Dates Paper Due: 10 December 2019 Acceptance Notification: 30 January 2020 Camera Ready Papers Due: 25 February 2020 =====================================================================

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Call for Papers: NLPCC 2019 - Explainable AI Workshop
by Feiyu_Xu 02 Jul '19

02 Jul '19

Apologies if you receive multiple copies of this email! Call for Papers ********* NLPCC 2019 Explainable AI Workshop ********* Oct 12, 2019 | Dunhuang, China Paper submission deadline: July 20, 2019 http://tcci.ccf.org.cn/conference/2019/xai.php <http://tcci.ccf.org.cn/conference/2019/xai.php> ** Overview ** Though deep learning has made a big progress in recent years, it appears weak in interpretability of the reasoning process and decision results. Some people consider deep learning in the current stage as alchemy, instead of science. It would raise a big concern while deep learning is applied in mission-critical scenarios. For this reason, the explainable AI have received a great attention from research to industry. This workshop will provide a forum for sharing the insights about explainable AI, exchanging the state-of-the art of explainable AI research and applications, discussing future direction and further work in this area. ** Topics ** The scope of this workshop will include but not limited to: - Algorithms, tools, frameworks for Explainable AI - Modified deep learning models with interpretable features - Structured, interpretable, causal models - Inferring an explainable model from any model as a black box - Evaluation for explainablity, metrics and measurement - Combination of human intelligence (HI) and machine intelligence (MI) - Explanation interfaces - Business applications of explainable AI - Fairness, Accountability, and Transparency in AI - Ethical aspects and law, legal issues and social responsibility ** Paper Submission ** The manuscripts are expected to be formatted in accordance with Springer style sheets [LaTeX, http://tcci.ccf.org.cn/conference/2019/dldoc/llncs2e.zip <http://tcci.ccf.org.cn/conference/2019/dldoc/llncs2e.zip>] [Microsoft Word, http://tcci.ccf.org.cn/conference/2019/dldoc/splnproc1703.zip <http://tcci.ccf.org.cn/conference/2019/dldoc/splnproc1703.zip>], in PDF format, and submitted electronically through the website https://www.softconf.com/j/xai2019/ <https://www.softconf.com/j/xai2019/>. For first submission, a full paper of 8-12 pages is preferred and an abstract of 1-3 pages is also welcome. After confirmation, the abstract needs to be extended to full paper as final version. All submissions will be peer reviewed by two members of our international program committee. Accepted submissions will be presented at the workshop orally or as poster and published in the NLPCC 2019 proceedings. ** Important Dates ** - Paper/Abstract submission deadline: July 20, 2019 - Notification: Aug 5, 2019 - Camera-ready submission: Aug 15, 2019 ** Workshop Organizers ** - Feiyu Xu, Lenovo Research - Dongyan Zhao, Peking University - Jun Zhu, Tsinghua University ** Program Committee ** - Roberto Navigli, Sapienza University of Rome, Italy - Haojin Yang, Hasso Plattner Institute, Germany - Jörn Hees, German Research Center for Artificial Intelligence (DFKI), Germany - Sven Schmeier, German Research Center for Artificial Intelligence (DFKI), Germany - Freddy Lecue, CortAIx, Thales, Canada & INRIA, France - Shixia Liu, Tsinghua University, China - Hang Su, Tsinghua University, China - Mengchen Liu, Microsoft Research Asia, China - Chengqing Zong, Chinese Academy of Science, China - Jin Zhang, Nankai University, China ** Local Organizing Committee ** - Yangzhou Du, Lenovo Research, China - Gang Chen, Lenovo Research, China

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[CfP] - DEADLINE EXTENDED to July 07 - 5th International Symposium on Algorithmic Aspects of Cloud Computing (ALGOCLOUD 2019)
by Thiago Genez - Cam 02 Jul '19

02 Jul '19

Apologies if you receive multiple copies of this email! ============================================================ 5th International Symposium on Algorithmic Aspects of Cloud Computing (ALGOCLOUD 2019) co-located with ALGO 2019 9-10 September 2019, Munich, Germany Submission Deadline (EXTENDED): July 7, 2019 https://algo2019.ak.in.tum.de/index.php/menue-algocloud/algocloud-overview ============================================================ ALGOCLOUD (https://algo2019.ak.in.tum.de/index.php/menue-algocloud/algocloud-overview) is an annual international forum bringing together researchers, students, and practitioners to present research activities and results on topics related to algorithmic, design, and development aspects of modern cloud-based systems. ALGOCLOUD 2019 is co-located with the ALGO 2019 (https://algo2019.ak.in.tum.de/index.php/menue-algo) a leading international event of researchers working on algorithms and their engineering. ALGOCLOUD welcomes submissions on all theoretical, design, and implementation aspects of modern cloud-based systems. ALGOCLOUD is particularly interested in novel algorithms in the context of cloud computing, cloud architectures, as well as experimental work that evaluates contemporary cloud approaches and pertinent applications. ALGOCLOUD also welcomes demonstration manuscripts, which discuss successful elastic system developments, as well as experience/use-case articles and high-quality survey papers. Contributions may span a wide range of algorithms for modelling, practices for building and techniques for evaluating operations and services in a variety of systems, including but not limited to, virtualized infrastructures, cloud platforms, datacenters, cloud-storage options, cloud data management, non-traditional key-value stores on the cloud, HPC architectures, etc. *** TOPICS Submissions should focus on aspects of cloud-based systems and their algorithms, including (but not limited to) the following areas: - Analysis of Algorithms and Data Structures - Resource Management and Scheduling - Data Center and Infrastructure Management - Privacy, Security and Anonymization - Cloud-based applications - Virtualization and containers - Performance Models - Cloud deployment tools and their analysis - Novel programming models - Storage management - Fog and Edge Computing - Economic models and pricing - Energy and Power Management - Big Data and the Cloud - Network management and techniques - Caching and Load Balancing *** PROCEEDINGS Accepted papers will be included in the post-proceedings published by Springer it its Lecture Notes in Computer Science series (http://www.springer.com/gp/computer-science/lncs) *** SUBMISSION GUIDELINES Submissions must have a length of up to 12 pages in LNCS format, excluding references and an optional appendix to be read at the discretion of the Program Committee. Papers should be submitted electronically via the EasyChair Submission system (https://easychair.org/conferences/?conf=algocloud2019) By submitting a paper, the authors acknowledge that in case of acceptance, at least one of the authors must register and attend ALGO 2019 and/or ALGOCLOUD 2019, and present the paper. *** IMPORTANT DATES - Paper submission: July 7 (AoE) , 2019 - Author notification: July 22, 2019 - Symposium: September 10, 2019 *** INVITED SPEAKER (to be decided) *** PROGRAM COMMITTEES Olivier Beaumont (INRIA Bordeaux, France) Luiz Fernando Bittencourt (University of Campinas, Brazil) Ivona Brandic (Vienna University of Technology, Austria) (co-chair) Valeria Cardellini (University of Rome "Tor Vergata", Italy) Alex Delis (University of Athens, Greece) Elisabetta Di Nitto (Politecnico di Milano, Italy) Katerina Doka (National Technical University of Athens, Greece) Fanny Dufosse (INRIA Grenoble, France) Thomas Fahringer (University of Innsbruck, Austria) Thiago Genez (University of Cambridge, UK) (co-chair) Sarunas Girdzijauskas (KTH, Sweden) Anastasios Gounaris (Aristotle University of Thessaloniki, Greece) Raffaele Montella (Parthenope University of Naples, Italy) George Pallis (University of Cyprus, Cyprus) Alessandro Papadopoulos (MDH, Sweden) Ilia Pietri (Intracom SA, Greece) Guido Proietti (University of L'Aquila, Italy) Krzysztof Rzadca (University of Warsaw, Poland) Rizos Sakellariou (University of Manchester, UK) (co-chair) Rafael Brundo Uriante (IMT Institute for Advanced Studies Lucca, Italy) *** STEERING COMMITTEES Spyros Sioutas University of Patras, Greece) Peter Triantafillou (University of Warwick, UK) Christos D. Zaroliagis (University of Patras, Greece) _______________________________________________

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CfP: 5th Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2019) at SC19: Submission Deadline Aug. 15
by BAKOS, JASON 01 Jul '19

01 Jul '19

========================================================================== ** Call for Papers ** ========================================================================== Fifth International Workshop on Heterogeneous High-performance Reconfigurable Computing (H^2RC 2019) ========================================================================== Held in conjunction with Supercomputing 2019 and In cooperation with the IEEE Technical Consortium on High Performance Computing (TCHPC) ========================================================================== Sunday, November 17, 2019 (ALL DAY) Denver, CO http://h2rc.cse.sc.edu ========================================================================== Submission Deadline: August 15, 2019 (4- and 8- page papers) Accepted 8-page manuscripts published/archived by IEEE (See below for descriptions of submission tracks.) ========================================================================== As conventional von-Neumann architectures are suffering from rising power densities, we are facing an era with power, energy efficiency, and cooling as first-class constraints for scalable HPC. FPGAs can tailor the hardware to the application, avoiding overheads and achieving higher hardware efficiency than general-purpose architectures. Leading FPGA manufacturers have recently made a concerted effort to provide a range of higher-level, easier-to-use high-level programming models for FPGAs, and much of the work in FPGA-based deep learning is built on these frameworks. Such initiatives are already stimulating new interest within the HPC community around the potential advantages of FPGAs over other architectures. With this in mind, this workshop, now in its fifth year, brings together HPC and heterogeneous-computing researchers to demonstrate and share experiences on how newly-available high-level programming models, including OpenCL, are already empowering HPC software developers to directly leverage FPGAs, and to identify future opportunities and needs for research in this area. ========================================================================== Submission Tracks and Contribution Selection ========================================================================== Submissions are solicited for two tracks: Track 1: Full-length papers (8 pages) for 25-minute oral presentation and publication in proceedings archived by IEEE. Track 2: Extended abstracts (4 pages) for 15-minute oral presentation without publication. Track 1 is targeted for technical papers containing a high level of implementation detail and analysis discussion of experimental results. Track 1 is suited for members of the academic and national lab community who prefer to have their work peer-reviewed, indexed and archived by IEEE. Track 2 is targeted for industrial contributions that describe new capabilities and opportunities offered by emerging technologies and products or work in progress presentations by the academic and national lab community. The emphasis of this track is to initiate a discussion with the audience. All submissions are reviewed and evaluated by at least three members of our technical program committee. From the TPC evaluation of each submission, the organizing committee will select papers for presentation based on a criteria that is equally weighted between scientific merit and level of interest and relevance to the HPC community. ========================================================================== Topics ========================================================================== 1. Improvement of performance or efficiency of HPC or data center applications with FPGAs 2. System integration of FPGAs in clouds and HPC systems 3. Leveraging reconfigurability 4. Benchmarks 6. Programming languages, tools, and frameworks 7. Future-gazing ========================================================================== Important dates: ========================================================================== Submission Deadline: August 15, 2019 Acceptance Notification: September 15, 2019 Camera-ready Manuscripts Due: October 11, 2019 Workshop Date: November 17, 2019 ========================================================================== Organizing Committee: ========================================================================== Jason D. Bakos, University of South Carolina Michaela Blott, Xilinx Franck Cappello, Argonne National Lab Torsten Hoefler, ETH Zurich Christian Plessl, Paderborn University, Germany -- Jason D. Bakos, Ph.D. Professor Dept. of Computer Science and Engineering Univ. of South Carolina 301 Main St., Suite 3A01L Columbia, SC 29208 803-777-8627 (voice), 803-777-3767 (fax) http://www.cse.sc.edu/~jbakos jbakos(a)cse.sc.edu

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IEEE/ACM Workshop: Deep Learning on Edge (EdgeDL 2019) | CHASE Conference
by Hari Dubey 30 Jun '19

30 Jun '19

Dear Colleagues, On behalf of organizers, let me extend our warm invitation to submit your research papers at the EdgeDL 2019 workshop to be held in Washington D.C., USA during September 26, 2019. Kindly help us spread the word. IEEE/ACM CHASE 2019 Workshop on EdgeDL: Deep Learning on Edge for Smart Health and Wellbeing Applications Washington D.C., USA, September 26, 2019 EDAS Paper Submission Link: https://edas.info/newPaper.php?c=26564 CFP Webpage: https://sites.google.com/view/edgedl-ieee-acm-chase-2019/home We look forward to welcoming you at the workshop and arrange an exciting Technical Program and keynote speaker from industry. Thank you, Workshop organizers Harishchandra Dubey, Microsoft, USA [hadubey(a)microsoft.com<mailto:hadubey@microsoft.com>] Kunal Mankodiya, University of Rhode Island, USA [kunalm(a)uri.edu<mailto:kunalm@uri.edu>] Amir M. Rahmani, University of California Irvine, USA [a.rahmani(a)uci.edu<mailto:a.rahmani@uci.edu>] Utsav Drolia, NEC Laboratories America Inc., USA [utsav(a)nec-labs.com<mailto:utsav@nec-labs.com>] -Best, Hari Dubey, on behalf of Kunal Mankodiya, Amir M. Rahmani and Utsav Drolia

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Update about Ada-Europe Conferences 2019 and 2020
by Dirk.Craeynest＠cs.kuleuven.be 29 Jun '19

29 Jun '19

Subject: Update about Ada-Europe Conferences 2019 and 2020 The 24th edition of Ada-Europe's International Conference on Reliable Software Technologies took place on 11-14 June in Warsaw, Poland, with considerable success. The conference, graciously hosted by the Institute of Aviation, had nearly 100 participants, enjoyed a rich technical and social program, and saw much active interaction between participants, presenters, and exhibitors. For your information, the following material is now available online: - the "Conference Booklet" in PDF, which contains the abstracts of all presentations in the core program (see first section on [1]); - copies of conference presentations (see "Download" links in "Conference Core Schedule" table on [1]); - copies of DeCPS workshop presentations (see "Download links in "Program" table on [2]); - pictures of the exhibition booths (see final part of [3]). [1] www.ada-europe.org/conference2019/overview.html [2] www.ada-europe.org/conference2019/workshops.html [3] www.ada-europe.org/conference2019/sponsors.html As announced in Warsaw, next year's conference will be held in Santander, Spain, in the week of 8-12 June 2020. The preliminary Call for Contributions is already available on the (mini) conference web site at [4]. More details will follow later. [4] www.ada-europe.org/conference2020/ On this occasion, the Ada-Europe Board announces a slight update of the name of its conference series: - the complete name is "25th Ada-Europe International Conference on Reliable Software Technologies"; - the short name is "Ada-Europe Conference 2020"; - the acronym is "AEiC 2020". Hence on social media when referring to the Ada-Europe organization we'll use #AdaEurope, and when referring to next year's Ada-Europe Conference we'll use #AEiC2020. Dirk Craeynest, Ada-Europe 2019 & 2020 Publicity Chair

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【Deadline Extended】 Bench'19 (http://www.benchcouncil.org/bench19/index.html) Call for Papers
by gaowanling＠ict.ac.cn 29 Jun '19

29 Jun '19

[Apologies if you receive multiple copies of this CFP] CALL FOR PAPERS ========================================================== International Symposium on Benchmarking, Measuring and Optimizing (Bench) http://www.benchcouncil.org/bench19/index.html Nov. 14th - Nov. 16th, 2019, Denver, Colorado, USA ========================================================== Introduction ---------------- Benchmarking, measuring, and optimizing are fundamental activities in human being's lives. This symposium (Bench 19) is organized by International Open Benchmarking Council (BenchCouncil), and the main theme is benchmarking, measuring, and optimizing Big Data or AI in HPC, Datacenter, IoT, and Edge Computing. Bench 19 provides a high-quality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community as a whole. Bench 19 has two special events: the AI benchmarking reports (benchmarks, performance numbers), and the AI system and algorithm competitions ( http://www.benchcouncil.org/competition/index.html ). Also, we will invite speakers from China, US, Europe and Japan on HPC AI topics. We provide two submission opportunities. For regular submission, we solicit papers describing original and previously unpublished research. Specific topics of interest include, but are not limited to, the following. **Benchmark, measurement, and optimization of: **Benchmark specifications and open-source implementation reports of: ** Methodologies, abstractions, metrics, algorithms, and tools in benchmark, measurement, and optimization for: ** Benchmark-driven domain-specific co-design of: ** Testbed methodologies and systems of: ** Workload characterization of: -Big Data -AI -HPC -Machine learning in HPC -Big scientific data -Datacenter -Cloud -Warehouse-scale computing -Mobile robotics -Edge and fog computing -IoT For the AI system and algorithms challenge( http://www.benchcouncil.org/competition/index.html ), each team is welcomed to submit a paper describing their work. Their paper will be reviewed for further recommendation. For the winner final lists, each team has to submit a paper and presents their work at Bench 19. Paper Submission ------------------------ Papers must be submitted in PDF. Short papers (no more than 4 pages in standard two-column IEEE conference format or 6 pages in LNCS format, not including references) are encouraged, and the authors can extend their short paper to 12 pages in LNCS format, not including references, in the final publication. If a full paper is submitted, the page limit is 8 pages in standard two-column IEEE conference format or 12 pages in LNCS format, not including references. The submissions will be judged based on the merit of the ideas rather than the length. After the conference, revised papers will be published by Springer (Pending). Submission site: https://easychair.org/conferences/?conf=bench19 Improtant Dates --------------------- Regular submission Paper Submission July 15, 2019 (Anywhere on Earth) Acceptance Notification Aug 20, 2019 AI competitions Paper submission: Sep 1, 2019 Acceptance Notification: Sep 15, 2019 Awards ---------- At Bench'19, several important awards will be given, which include: * BenchCouncil Achievement Award ($3,000) - This award recognizes a senior member who has made long-term contributions to benchmarking, measuring, and optimizing. The winner is eligible for BenchCouncil Fellow. * BenchCouncil System Award ($3,000) - This award recognizes a group of scientists and engineers who has made significant contributions to the design, implementation of a state-of-the-art or state-of-the-practice system. * BenchCouncil Contribution Award ($1,000) - This award recognizes a senior member who has made long-term contributions to the benchmarking, measuring, and optimizing community. * BenchCouncil Best Paper Award ($1,000) - This award recognizes a paper presented at the Bench conferences, which demonstrates potential impact on research and practice in benchmarking, measuring, and optimizing. Organization ----------------- General Chairs Dan Stanzione (Texas Advanced Computing Center, The University of Texas at Austin) Xiaoyi Lu (The Ohio State University) TPC Chairs Jianfeng Zhan (ICT, Chinese Academy of Sciences, and University of Chinese Academy of Sciences) Geoffrey Fox (Indiana University) Publications Chair Chen Zheng (Institute of Computing Technology, CAS) Award Committees Lizy Kurian John (The University of Texas at Austin) D. K. Panda (The Ohio State University) Geoffrey Fox (Indiana University) Jianfeng Zhan (ICT, Chinese Academy of Sciences, and University of Chinese Academy of Sciences) Competition Chairs Jidong Zhai (Tsinghua University) Xiaoyi Lu (The Ohio State University) Wanling Gao (Institute of Computing Technology, CAS) Publicity Chairs Zhen Jia (Princeton University) Wanling Gao (Institute of Computing Technology, CAS) Web Chair Jiahui Dai (Beijing Academy of Frontier Sciences and Technology) Technical Program Committee ---------------------------------------- Haiying Shen, University of Virginia Woongki Baek, UNIST Zheng Cao, Alibaba Piotr Luszczek, University of Tennessee Knoxville Khaled Ibrahim, Lawrence Berkeley National Lab Li Zha, Institute of Computing Technology, Chinese Academy of Sciences Lei Wang, Institute of Computing Technology, Chinese Academy of Sciences Vladimir Getov, University of Westminster Gwangsun Kim, POSTECH Hyogi Sim, Oak Ridge National Laboratory Zhen Jia, Princeton University Weijia Xu, The University of Texas at Austin Bin Ren, Pacific Northwest National Laboratory Nikhil Jain, Lawrence Livermore National Laboratory Lucas Mello Schnorr, UFRGS Shantenu Jha, Rutgers University Bo Wu, Colorado School of Mines Jungang Xu, College of Computer and Control Engineering,University of Chinese Academy of Sciences Saliya Ekanayake, Virginia Tech Zujie Ren, Zhejiang University Ryan E. Grant, Sandia National Laboratories Zhihui Du, Tsinghua University Guang R Gao, Computer Architecture and Parallel Systems Laboratory, Unversity of Delaware

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[simu-conf] Theory and Foundation for Modeling & Simulation (TMS) - George Mason University, VA, USA – April 2020
by vsim-conf＠sce.carleton.ca 28 Jun '19

28 Jun '19

# PRELIMINARY CALL FOR PAPERS Theory and Foundation for Modeling & Simulation (TMS) (Part of the 2020 Spring Simulation Conference) George Mason University, VA, USA – April 2020 ## Aims and Scope: The TMS track aims to provide a forum to present the most recent advances in the Theory and Foundations of Modeling and Simulation. The focus is on the M&S concepts, methods, methodology, practice, and toolkits, as well as related lessons learned and challenges. This track welcomes unpublished papers, and not under consideration in other venues, on the topics below as well as others that can help deepen and expand the M&S Theory and Foundations for better understanding and development of computing, physical, and human systems. * Modeling & Simulation Formalisms (Agents, DEVS, Petri nets, Statecharts, etc.) * Multi-Paradigm/Multi-Domain Modeling, Multi-Resolution/Multi-Scale Modeling * Model Composition, Hybrid Modeling Languages, Multi-Modal Modeling * Model Checking, Formalism-Based Model Debugging, Model Transformation * Modular Hybrid, Spatially Distributed, and Ultra Large Scale Systems * Embedded, IoT, and Fog Computing Systems * Parallel, Distributed, Real-Time, Cloud-Based, and Interactive Simulation * Co-simulation, Interoperability, Simulation Languages, Numerical Solvers * Simulation and Model Development Visualization Tools * Model Libraries, Repositories, and Data Formats Conference proceedings will be submitted to the ACM Digital Library, for archiving and indexed in DBLP and SCOPUS. SpringSim is co-sponsored by SCS, ACM and IEEE. ## Organizers General Chair: Joachim Denil, University of Antwerp, Belgium General Co-Chair, Hessam Sarjoughian, Arizona State University, USA Program Chair, Cristina Ruiz-Martin, Carleton University, Canada Program Co-Chair, Gabriel Wainer, Carleton University, Canada ## Information about Previous Editions: https://msdl.uantwerpen.be/conferences/tmsdevs/2019/ [apologies for duplicated postings – problems/issues: contact vsim-conf-owner(a)sce.carleton.ca]

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EuroMPI 2019 - Call for Posters
by HOLMES Daniel 28 Jun '19

28 Jun '19

===================================== || EuroMPI 2019 - Call for Posters || ===================================== Important Dates Posters submissions due date: 27th July 2019 (AOE) Posters notification date: 11th August 2019 Conference dates: 11th-13th September 2019 The poster session at the EuroMPI 2019 conference is an excellent opportunity to engage with the community by discussing new ideas and latest results that are not yet ready to be full papers. We are soliciting poster submissions for EuroMPI 2019 that show-case work on the Message Passing Interface (MPI) or work that is related to message-passing parallel computing. We particularly encourage graduate students to publicise their ongoing work. We invite submissions from users of MPI, developers of MPI, and researchers in the broader field of message-passing parallel computing. Topics of interest include, but are not limited to: * Implementation Issues * Implementation improvements towards exascale computing, such as many-core, GPGPU, and heterogeneous architectures. * Performance bugs in MPI implementations. * Interaction between message-passing software and new high-performance hardware architectures. * New MPI-IO mechanisms and I/O stack optimizations. * Programming Models * API limitations of MPI; extensions to MPI. * Hybrid and heterogeneous programming; combining MPI with other interfaces. * MPI support for data-intensive parallel applications. * Fault tolerance in message-passing implementations and systems. * New programming paradigms implemented over MPI, like hierarchical programming and global address spaces. * MPI parallel programming in clouds. * Applications and Performance * Performance evaluation for MPI or MPI-based applications on HPC machines or using cloud resources. * Automatic performance tuning of MPI applications and implementations. * Verification of message-passing applications and protocols. * Applications using message passing, for example, in computational science and scientific computing. * New parallel algorithms expressed in the message-passing paradigm. Submission Instructions Poster submissions should be submitted to the Euro MPI 2019 poster chairs via email to: Daniel Holmes <d.holmes(a)epcc.ed.ac.uk> and to Stefano Markidis <markidis(a)kth.se>. All poster submissions must include: * A short abstract (175 word maximum). * An extended abstract (3 pages maximum, including figures and references, and formatted according to the "sigconf" style in the ACM 2017 Template (http://www.acm.org/publications/proceedings-template)) * A poster draft. Note that complete results are not necessary. It is acceptable to have placeholders for last-minute results. * Poster format should be A0 page size (either portrait or landscape). See the attached size guide instructions for more details. The abstracts and posters will NOT be published in the conference proceedings by ACM-ICPS. In case of acceptance, posters will be presented at the conference and, if the authors agree, they will be published on the EuroMPI'19 poster web page. Cheers, Dan. — Dr Daniel Holmes PhD Architect (HPC Research) d.holmes(a)epcc.ed.ac.uk Phone: +44 (0) 131 651 3465 Mobile: +44 (0) 7940 524 088 Address: Room 2.09, Bayes Centre, 47 Potterrow, Central Area, Edinburgh, EH8 9BT — The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. —

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CFP: 14th Workflows in Support of Large-Scale Science Workshop
by Ilia 28 Jun '19

28 Jun '19

Apologies if you receive multiple copies of this email! ********** WORKS 2019 Workshop********** 14th Workflows in Support of Large-Scale Science Workshop http://works.cs.cardiff.ac.uk/ Sunday 17 November 2019, Denver, CO Held in conjunction with SC19, http://sc19.supercomputing.org/ Paper submission deadline: 15 July 2019 ***************************************** Call For Papers Data-intensive Workflows (a.k.a. scientific workflows) are routinely used in most scientific disciplines today, especially in the context of parallel and distributed computing. Workflows provide a systematic way of describing the analysis and rely on workflow management systems to execute the complex analyses on a variety of distributed resources. They are at the interface between end-users and computing infrastructures. With the dramatic increase of raw data volume in every domain, they play an even more critical role to assist scientists in organizing and processing their data and to leverage HPC or HTC resources, e.g., workflows played an important role in the discovery of Gravitational Waves. This workshop focuses on the many facets of data-intensive workflow management systems, ranging from job execution to service management and the coordination of data, service and job dependencies. The workshop therefore covers a broad range of issues in the scientific workflow lifecycle that include: data-intensive workflows representation and enactment; designing workflow composition interfaces; workflow mapping techniques that may optimize the execution of the workflow; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, fault detection and tolerance. The topics of the workshop include but are not limited to: Big Data analytics workflows Data-driven workflow processing (including stream-based workflows) Workflow composition, tools, and languages Workflow execution in distributed environments (including HPC, clouds, and grids) Reproducible computational research using workflows Dynamic data dependent workflow systems solutions Exascale computing with workflows In Situ Data Analytics Workflows Interactive workflows (including workflow steering) Workflow fault-tolerance and recovery techniques Workflow user environments, including portals Workflow applications and their requirements Adaptive workflows Workflow optimizations (including scheduling and energy efficiency) Performance analysis of workflows Workflow debugging Workflow provenance ***************************************** Important Dates Papers due: 15 July 2019 Paper acceptance notification: 1 September 2019 E-copyright registration completed by authors: 1 October 2019 Camera-ready deadline: 1 October 2019 Submitted papers must be at most 10 pages long. The proceedings should be formatted according to the IEEE format (see https://www.ieee.org/conferences/publishing/templates.html) The 10-page limit includes figures, tables, appendices and references. WORKS papers will be published in cooperation with TCHPC and will be available from IEEE digital repository. ***************************************** WORKS 2019 Organizing Committee – PC Chairs Sandra Gesing, University of Notre Dame, USA Rafael Ferreira da Silva, University of Southern California, USA – General Chair Ian J. Taylor, Cardiff University, UK and University of Notre Dame, USA – Steering Committee David Abramson, University of Queensland, Australia Malcolm Atkinson, University of Edinburgh, UK Ewa Deelman, USC, USA Michela Taufer, University of Tennessee, USA – Publicity Chairs Ilia Pietri, Intracom SA Telecom Solutions, Greece Hoang Anh Nguyen, University of Queensland, Australia ***************************************** WORKS 2019 Program Committee(Tentative) Pinar Alper, University Luxembourg, LU Ilkay Altintas, San Diego Supercomputer Center, USA Khalid Belhajjame, Universit. Paris-Dauphine, France Ivona Brandic, TU Wien, Austria Kris Bubendorfer, Victoria University of Wellington, New Zealand Jesus Carretero, Universidad Carlos III de Madrid, Spain Henri Casanova, University of Hawaii at Manoa, USA Kyle Chard, University of Chicago, USA Rafael Ferreira Da Silva, USC Information Sciences Institute, USA Daniel Garijo, USC Information Sciences Institute, USA Sandra Gesing, University of Notre Dame, USA Daniel Katz, University of Illinois Urbana-Champaign, USA Tamas Kiss, University of Westminster, UK Dagmar Krefting, HTW Berlin, Germany Maciej Malawski, AGH University of Science and Technology, Poland Anirban Mandal, Renaissance Computing Institute, USA Marta Mattoso, Federal Univ. Rio de Janeiro, Brazil Jarek Nabrzyski, University of Notre Dame, USA Hoang Anh Nguyen, University of Queensland, Australia Daniel de Oliveira, Fluminense Federal University, Brazil Radu Prodan, University of Klagenfurt, Austria Ivan Rodero, Rutgers University, USA Rizos Sakellariou, University of Manchester, UK Frédéric Suter, CNRS, France Domenico Talia, University of Calabria, Italy Douglas Thain, University of Notre Dame, USA Rafael Tolosana-Calasanz, Universidad de Zaragoza, Spain Chase Wu, New Jersey Institute of Technology, USA

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LOD 2019: Submit Your Paper/Abstract/Poster and Meet prominent speakers in the fields of Machine Learning, Data Science and Artificial Intelligence in Tuscany! Deadline: June 30
by Ludovico Montalcini 27 Jun '19

27 Jun '19

Register today and take advantage of the special rates available for individuals attending the 5th International Conference on machine Learning, Optimization & Data science LOD - An Interdisciplinary Conference: Deep Learning, Optimization and Big Data without Borders, this September 10-13 at the Certosa di Pontignano. https://lod2019.icas.xyz lod(a)icas.xyz LOD 2019 is a great opportunity to present your work and congregate with leaders and experts in the Deep Learning, Artificial Intelligence and Big Data. Feel free to check out our keynote speakers: - Michael Bronstein, Imperial College London, UK - Marco Gori, University of Siena, Italy - Arthur Gretton, UCL, UK - Arthur Guez Google DeepMind, Montreal, UK - Kaisa Miettinen, University of Jyväskylä, Finland - Jan Peters, Technische Universitaet Darmstadt - Mauricio Resende, Amazon, USA - Richard E. Turner, University of Cambridge, UK Submit your Paper/Abstract/Poster by June 30 https://easychair.org/conferences/?conf=lod2019 Sessions - LOD 2019 Big-Data Challenge: Our sponsor, Neodata Lab, will offer a prize of €2000 to the applicant who develops the most accurate algorithm to process an “approximate SQL-like query answering system” on a real dataset. https://lod2019.icas.xyz/industrial-session/ - Deep Neuroevolution Workshop https://lod2019.icas.xyz/deep-neuroevolution-workshop/ - Multi-Task Learning - Reinforcement Learning - Deep Learning - Generative Adversarial Networks - Networks with Memory - Learning from Less Data and Building Smaller Models - Simulation Environments to understand how AI Systems Learn - Chatbots and Conversational Agents - Data Science at Scale & Data in the Cloud - Urban Informatics & Data-Driven Modeling of Complex Systems - Data-centric Engineering - Data Security, Traceability of Information & GDPR - Economic Data Science https://lod2019.icas.xyz lod(a)icas.xyz

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Last Call - IEEE International Conference on High Performance Computing, Data, and Analytics 2019
by sanmukh＠hipc.org 26 Jun '19

26 Jun '19

********************************************************************** We apologize if you received multiple copies of this email Please feel free to distribute it to those who might be interested ********************************************************************** Last Call - HiPC Paper Submission Deadline Approaching. KEY DATES: Abstract Submission: Friday, June 21, 2019 Paper Submission: Friday, June 28, 2019 *Firm Extended Deadline* Easychair Submission link: https://easychair.org/conferences/?conf=hipc2019 ********************************************************************** HiPC 2019 CALL FOR PAPERS *** Paper Deadline Extended *** ********************************************************************** 26th IEEE International Conference on High Performance Computing, Data, and Analytics December 17-20, 2019, Hyderabad, India https://hipc.org/ HiPC 2019 will be the 26th edition of the IEEE International Conference on High Performance Computing, Data, Analytics and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics and blockchain. Each submission should be submitted to one of the tracks listed under the two broad themes of High Performance Computing and Data Science. High Performance Computing tracks: Algorithms: This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); and * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management); Architectures: This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): * Design and evaluation of high performance processing architectures (e.g., reconfigurable, system-on-chip, manycores, vector processors); * Design and evaluation of networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip); * Design and evaluation of memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); * Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); and * Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications: This track invites papers that describe original research on the design and implementation of scalable applications for execution on parallel and distributed platforms, and related advances. Examples of topics of interest include (but not limited to): * Design and implementation of shared and distributed memory parallel applications (e.g., scientific computing and industry applications, emerging applications in IoT and life sciences - biology, medicine, chemistry, etc.); * Design and simulation methodologies for scaling applications on peta- and exascale platforms (e.g., co-design approaches, hardware/software co-design, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., CPU/GPUs, multi-GPU clusters, FPGA, vector processors, manycore); and * Design of application benchmarks for parallel and distributed platforms. Systems Software: This track invites papers that describe original research on the design, implementation and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): * Scalable systems and software architectures for high performance computing (e.g., middleware, operating systems, I/O services); * Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); * Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); * Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; * Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); and * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms); Data Science tracks: Scalable Algorithms and Analytics: This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): * New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); * Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); * Scalable algorithms and techniques to reduce complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); * Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); and * Scalable algorithms that ensure the transparency and fairness of the analysis. Scalable Systems and Software: This track invites papers that describe original research on developing scalable systems and software for handling data at scale, and related advances. Examples of topics of interest include (but not limited to): * Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications) * Design of scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs). * Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); * Design and implementation of systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); and * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy preserving and secure schemes). One or more best paper awards will be given for outstanding contributed papers. IMPORTANT DATES Abstract Submission: Friday, June 21, 2019 Paper Submission: Friday, June 28, 2019 *Firm Extended Deadline* Reviews for Rebuttals: Monday, July 29, 2019 Rebuttals due: Monday, August 5, 2019 Initial Submission Decision: Monday, August 19, 2019 Revisions Due: Friday, September 20, 2019 Author Notification: Monday, September 30, 2019 Camera Ready: Monday, October 14, 2019 Manuscript Guidelines Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. See IEEE style templates at this page for details. Electronic submissions must be in the form of a readable PDF file. Manuscripts must be received by the published paper submission deadline. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Authors are highly encouraged to list the key contributions of their paper. This should be in a separate paragraph in the introduction to the paper. Please note that the review process is “single-blind” (i.e., authors can list their names on the paper). This year we are introducing a two-phase review process, in which the first round of reviews will be made available to the authors for a brief rebuttal. Based on the reviews and the rebuttal, an initial decision will be issued. Papers will be either accepted or rejected or recommended for a second round. Authors of papers recommended for a second round will be allowed to revise the paper to address the comments and suggestions made by the program committee. The revisions will undergo a second round of review before the final notification. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chairs of the respective tracks at their contact email addresses below for further information or clarification. Notification of review decisions will be emailed by September 30, 2019. Camera-ready papers are due by October 14, 2019. A published proceedings will be available at the conference. At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. Presentation of an accepted paper at the conference is a requirement of publication. Any paper that is not presented at the conference will not be included in IEEE Xplore. Easychair Submission link: https://easychair.org/conferences/?conf=hipc2019 Journal Special Issue: Authors of selected high quality papers in HiPC 2019 will be invited to submit extended version of their papers for possible publication in a special issue of Journal of Parallel and Distributed Computing. PLEASE NOTE: * Authors must register their paper and submit an abstract, typically a paragraph or two, by June 21, 2019 * Authors must then submit full versions of registered papers by June 28, 2019 * All deadlines are end of day ANYWHERE ON EARTH. * Links to EasyChair submissions: https://easychair.org/conferences/?conf=hipc2019 PROGRAM CHAIRS Ananth Kalyanaraman, Washington State University, USA George Karypis, University of Minnesota, USA PROGRAM VICE-CHAIRS HPC Tracks: Algorithms: Bora Uçar, CNRS and École normale supérieure de Lyon, France Applications: Alba Cristina M.A. de Melo, University of Brasilia, Brazil Architecture: Smruti Ranjan Sarangi, Indian Institute of Technology Delhi, India System Software: Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA Data Science Tracks: Scalable Algorithms and Analytics: Srinivasan Parthasarathy, Ohio State University, USA Scalable Systems and Software: Gagan Agrawal, Ohio State University, USA Contact Information * High Performance Computing tracks: Ananth Kalyanaraman, Washington State University, USA, ananth(a)wsu.edu * Data Science tracks: George Karypis, University of Minnesota, USA, karypis(a)umn.edu ___________________________________________________ HiPC 2019 is co-sponsored by • IEEE Computer Society Technical Committee on Parallel Processing (TCPP) • HiPC Education Trust, India In cooperation with • ACM Special Interest Group on Algorithms and Computation Theory (SIGACT) • ACM Special Interest Group on Computer Architecture (SIGARCH) • FIP Working Group on Concurrent Systems • Manufacturers' Association for Information Technology (MAIT) • National Association of Software and Service Companies (NASSCOM)

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CFP OLA'2019 Int. Conf. on Optimization and Learning @Spain
by El-ghazali Talbi 24 Jun '19

24 Jun '19

Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** OLA'2020 International Conference on Optimization and Learning: Challenges and Applications 17-19 Feb 2020 Cadiz, Spain http://ola2020.sciencesconf.org/ **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2020 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2020 welcomes presentations that cover any aspects of optimization and learning research such as optimization for learning, learning for optimization, optimization and learning under uncertainty, new high-impact applications, parameter tuning, 4th industrial revolution, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 10 pages Important dates: =============== Submission deadline Sept 20, 2019 Notification of acceptance Nov 9, 2019 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings that will be available at the conference. In addition, a post-conference SCOPUS indexed Springer book and a special issue in a Journal are planned to be published. Participants will be invited to submit extended versions of their work for consideration. -- *********************************************************************** OLA'2020 Int. Conference on Optimization and Learning 17-19 Feb 2020, Cadiz, Spain http://ola2020.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS

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Abstract Deadline Today - IEEE International Conference on High Performance Computing, Data, and Analytics 2019
by sanmukh＠hipc.org 21 Jun '19

21 Jun '19

********************************************************************** We apologize if you received multiple copies of this email Please feel free to distribute it to those who might be interested ********************************************************************** HiPC Paper Submission Deadline Approaching. KEY DATES: Abstract Submission: Friday, June 21, 2019 *Firm Extended Deadline* Paper Submission: Friday, June 28, 2019 *Firm Extended Deadline* Easychair Submission link: https://easychair.org/conferences/?conf=hipc2019 ********************************************************************** HiPC 2019 CALL FOR PAPERS *** Paper Deadline Extended *** ********************************************************************** 26th IEEE International Conference on High Performance Computing, Data, and Analytics December 17-20, 2019, Hyderabad, India https://hipc.org/ HiPC 2019 will be the 26th edition of the IEEE International Conference on High Performance Computing, Data, Analytics and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics and blockchain. Each submission should be submitted to one of the tracks listed under the two broad themes of High Performance Computing and Data Science. High Performance Computing tracks: Algorithms: This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); and * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management); Architectures: This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): * Design and evaluation of high performance processing architectures (e.g., reconfigurable, system-on-chip, manycores, vector processors); * Design and evaluation of networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip); * Design and evaluation of memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); * Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); and * Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications: This track invites papers that describe original research on the design and implementation of scalable applications for execution on parallel and distributed platforms, and related advances. Examples of topics of interest include (but not limited to): * Design and implementation of shared and distributed memory parallel applications (e.g., scientific computing and industry applications, emerging applications in IoT and life sciences - biology, medicine, chemistry, etc.); * Design and simulation methodologies for scaling applications on peta- and exascale platforms (e.g., co-design approaches, hardware/software co-design, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., CPU/GPUs, multi-GPU clusters, FPGA, vector processors, manycore); and * Design of application benchmarks for parallel and distributed platforms. Systems Software: This track invites papers that describe original research on the design, implementation and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): * Scalable systems and software architectures for high performance computing (e.g., middleware, operating systems, I/O services); * Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); * Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); * Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; * Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); and * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms); Data Science tracks: Scalable Algorithms and Analytics: This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): * New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); * Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); * Scalable algorithms and techniques to reduce complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); * Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); and * Scalable algorithms that ensure the transparency and fairness of the analysis. Scalable Systems and Software: This track invites papers that describe original research on developing scalable systems and software for handling data at scale, and related advances. Examples of topics of interest include (but not limited to): * Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications) * Design of scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs). * Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); * Design and implementation of systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); and * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy preserving and secure schemes). One or more best paper awards will be given for outstanding contributed papers. IMPORTANT DATES Abstract Submission: Friday, June 21, 2019 *Firm Extended Deadline* Paper Submission: Friday, June 28, 2019 *Firm Extended Deadline* Reviews for Rebuttals: Monday, July 29, 2019 Rebuttals due: Monday, August 5, 2019 Initial Submission Decision: Monday, August 19, 2019 Revisions Due: Friday, September 20, 2019 Author Notification: Monday, September 30, 2019 Camera Ready: Monday, October 14, 2019 Manuscript Guidelines Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. See IEEE style templates at this page for details. Electronic submissions must be in the form of a readable PDF file. Manuscripts must be received by the published paper submission deadline. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Authors are highly encouraged to list the key contributions of their paper. This should be in a separate paragraph in the introduction to the paper. Please note that the review process is “single-blind” (i.e., authors can list their names on the paper). This year we are introducing a two-phase review process, in which the first round of reviews will be made available to the authors for a brief rebuttal. Based on the reviews and the rebuttal, an initial decision will be issued. Papers will be either accepted or rejected or recommended for a second round. Authors of papers recommended for a second round will be allowed to revise the paper to address the comments and suggestions made by the program committee. The revisions will undergo a second round of review before the final notification. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chairs of the respective tracks at their contact email addresses below for further information or clarification. Notification of review decisions will be emailed by September 30, 2019. Camera-ready papers are due by October 14, 2019. A published proceedings will be available at the conference. At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. Presentation of an accepted paper at the conference is a requirement of publication. Any paper that is not presented at the conference will not be included in IEEE Xplore. Easychair Submission link: https://easychair.org/conferences/?conf=hipc2019 Journal Special Issue: Authors of selected high quality papers in HiPC 2019 will be invited to submit extended version of their papers for possible publication in a special issue of Journal of Parallel and Distributed Computing. PLEASE NOTE: * Authors must register their paper and submit an abstract, typically a paragraph or two, by June 21, 2019 * Authors must then submit full versions of registered papers by June 28, 2019 * All deadlines are end of day ANYWHERE ON EARTH. * Links to EasyChair submissions: https://easychair.org/conferences/?conf=hipc2019 PROGRAM CHAIRS Ananth Kalyanaraman, Washington State University, USA George Karypis, University of Minnesota, USA PROGRAM VICE-CHAIRS HPC Tracks: Algorithms: Bora Uçar, CNRS and École normale supérieure de Lyon, France Applications: Alba Cristina M.A. de Melo, University of Brasilia, Brazil Architecture: Smruti Ranjan Sarangi, Indian Institute of Technology Delhi, India System Software: Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA Data Science Tracks: Scalable Algorithms and Analytics: Srinivasan Parthasarathy, Ohio State University, USA Scalable Systems and Software: Gagan Agrawal, Ohio State University, USA Contact Information * High Performance Computing tracks: Ananth Kalyanaraman, Washington State University, USA, ananth(a)wsu.edu * Data Science tracks: George Karypis, University of Minnesota, USA, karypis(a)umn.edu ___________________________________________________ HiPC 2019 is co-sponsored by • IEEE Computer Society Technical Committee on Parallel Processing (TCPP) • HiPC Education Trust, India In cooperation with • ACM Special Interest Group on Algorithms and Computation Theory (SIGACT) • ACM Special Interest Group on Computer Architecture (SIGARCH) • FIP Working Group on Concurrent Systems • Manufacturers' Association for Information Technology (MAIT) • National Association of Software and Service Companies (NASSCOM)

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MSc on "Digital Media - Computational Intelligence"
by ioannakoroni＠csd.auth.gr 20 Jun '19

20 Jun '19

The School of Informatics at the Aristotle University of Thessaloniki will offer the MSc Course Programme on "Digital Media - Computational Intelligence" the forthcoming academic year. This MSc covers a range of advanced topics related to digital media. Digital media collectively refer to content found in audio, images, video, written and aural speech, biosignals, graphics, and virtual reality. To analyze the aforementioned content, one needs good foundations in signal processing, computer vision, graphics, pattern recognition/machine learning and computational intelligence, including associated enabling technologies (e.g., language technologies, deep learning, computer animation, brain computer interfaces). The MSc provides an excellent opportunity to develop the skills required for careers in some of the most dynamic fields in processing and analysis of big data extracted from multimedia, social networks, the web, the internet of things, without excluding complex adaptive systems of social life and robotics. This programme builds on the internationally recognized research strengths of the Artificial Intelligence and Information Analysis Laboratory <https://www.aiia.csd.auth.gr/> within the School of Informatics <http://www.csd.auth.gr> at the Aristotle University of Thessaloniki. This research team conducts pioneering research in the required aforementioned fundamental disciplines and work areas. The laboratory is well equipped with first-class computational facilities and state-of-the-art measurement equipment, including multiple cameras, microphone arrays, motion capture magnetic sensors, brain interfaces, and drones. The MSc provides in-depth training in design, analysis, and management skills relevant to the theory and practice of related industry. Foreign students are welcome! Courses are taught in English. We are proud to quote 2019 U.S. News Education University Rankings of Aristotle University of Thessaloniki in Subjects Computer Science (#181 tied) and Engineering (#152 tied) under Best Global Universities https://www.usnews.com/education/best-global-universities/aristotle-universi ty-of-thessaloniki-506056 Stay informed and submit the application now at http://dmci.csd.auth.gr/admissions/ Deadline for application submission: September, the 10th, 2019. Contact details: Professor Constantine Kotropoulos, Director of the MSc Programme Email: costas(a)csd.auth.gr <mailto:costas@csd.auth.gr> Follow us in facebook: https://www.facebook.com/dmci.eng.csd Brochure https://drive.google.com/open?id=1vbePAGd6ttoApeR4pTFWjAmkrzaOS35s

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CFP: The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020)
by Bahman Javadi 18 Jun '19

18 Jun '19

===================================================================== The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020) May 11-14, 2020, Melbourne, Australia Website: http://cloudbus.org/ccgrid2020/ ===================================================================== Call for Papers Tremendous advances in processing, communication and systems/middle-ware technologies are leading to new paradigms and platforms for computing, ranging from computing Clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog/Edge Computing for Internet of Things (IoT)/Big Data applications. CCGrid is a series of very successful conferences, sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC) and ACM (Association for Computing Machinery), with the overarching goal of bringing together international researchers, developers, and users and to provide an international forum to present leading research activities and results on a broad range of topics related to these platforms and paradigms and their applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2020 conference. In 2020, CCGrid will return to Melbourne, Australia, to celebrate its 20th anniversary. CCGrid 2020 will have a special focus on three important issues that are significantly influencing all aspects of Cluster, Cloud, and Internet computing: Adaptive Elastic Computing, Green Computing, and Cyber-Physical Computing. Topics of interest include, but are not limited to: Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, etc. More decentralized approaches to cloud computing. Edge/fog/mist computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing. Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs. Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge. Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems. Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques. Performance Modelling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. Cyber-Security and Privacy: Cloud security and trust. Access control. Data privacy and integrity. Regulation. Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness. Applications: Data Science, Artificial Intelligence, Cyber-Physical Systems, etc. Applications to real and complex problems in science, engineering, business and society. User studies. Experiences with large-scale deployments systems and data science applications. Distributed AI/Machine Learning on the cloud. Data streaming analytics for intelligent transportation systems. ------------------------------------------------------------------- Chairs and Committees ------------------------------------------------------------------- General Chair: Rajkumar Buyya, University of Melbourne, Australia. General Vice Chairs: Dhabaleswar Panda, Ohio State University, USA Jin Hai, Huazhong University of Science and Technology, China Massimo Villari, The University of Messina, Italy Program Committee Co-Chairs: Carlos A Varela, RPI, USA Laurent Lefevre, INRIA, France Workshops Co-Chairs: George Pallis, The University of Cyprus, Cyprus Borja Sotomayor, The University of Chicago, USA Doctoral Symposium Chairs : Anne-Cecile Orgerie, Inria, France Ivan Rodero, The State University of New Jersey, USA Posters Co-Chairs : Hari Subramoni, Ohio State University, USA Joanna Kolodziej, National Research Institute (NASK), Poland Student Travel Awards Chair: Lena Mashayekhy, University of Delaware, USA SCALE Challenge Chair : Yogesh Simmhan, Indian Institute of Science, India Research/Product Demonstrations Chairs : Rodrigo Calheiros, Western Sydney University, Australia Proceedings Co-Chair : Omer Rana, Cardiff University, UK Adel N. Toosi, Monash University, Australia Publicity Co-Chairs: Jithin Jose, Microsoft, USA Stefan Schulte, Vienna University of Technology, Austria Bahman Javadi, Western Sydney University, Australia Mohsen Amini, The University of Louisiana at Lafayette, USA Ching-Hsien Hsu, National Chung Cheng University, Taiwan Carlos Westphall, Federal University of Santa Catarina, Brazil Cyber Chair : Mohammad Goudarzi, The University of Melbourne, Australia Important Dates Paper Due: 10 December 2019 Acceptance Notification: 30 January 2020 Camera Ready Papers Due: 25 February 2020 =====================================================================

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