- computational.science - lists.iccsa.org

【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 For regular submission, we solicit papers describing original and previously unpublished research.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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