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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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