computational.science July 2019

computational.science@lists.iccsa.org

14 participants
18 discussions

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.

1 0

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

1 0

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

1 0

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> ************************************************

1 0

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 =====================================================================

1 0

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

1 0

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

02 Jul '19

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

1 0

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

01 Jul '19

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

1 0

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

computational.science July 2019