computational.science August 2019

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CfP: 5th Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2019) at SC19: Submission Deadline Aug. 15
by BAKOS, JASON 02 Aug '19

02 Aug '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. 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 TCHPC. Track 2: Extended abstracts (4 pages) for 15-minute oral presentation without publication. Track 1 is targeted at 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 at 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 equally weighs 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 ========================================================================== Technical Program Committee: ========================================================================== David Andrews, University of Arkansas Rizwan Ashraf , Oak Ridge National Laboratory Paul Chow, University of Toronto Hans Eberle, Nvidia Ken Eguro, Microsoft Research Xin Fang, Northeastern University Alan George, University of Pittsburgh Christoph Hagleitner, IBM Martin Herbordt, Boston University Zheming Jin, Argonne National Laboratory Andreas Koch, TU Darmstadt Miriam Leeser, Northeastern University Tiffany Mintz, Oak Ridge National Laboratory Viktor Prasanna, University of Southern California Yaman Umuroglu, Xilinx Research -- Jason D. Bakos, Ph.D. Professor Dept. of Computer Science and Engineering Univ. of South Carolina 301 Main St., Suite 3A01L Columbia, SC 29208 803-777-8627 (voice), 803-777-3767 (fax) http://www.cse.sc.edu/~jbakos jbakos(a)cse.sc.edu

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[DEADLINE EXTENDED] CFP: 14th Workflows in Support of Large-Scale Science Workshop
by Ilia 01 Aug '19

01 Aug '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: 5 August 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: 5 August 2019 (EXTENDED) 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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computational.science August 2019