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LOCATION:Track 6
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UID:submissions.supercomputing.org_SC20_sess225@linklings.com
SUMMARY:H2RC 2020: Sixth International Workshop on Heterogeneous High-Perf
 ormance Reconfigurable Computing
DESCRIPTION:Workshop\n\nProgramming Reconfigurable Heterogeneous Computing
  Clusters Using MPI with Transpilation\n\nRinglein, Abel, Ditter, Weiss, H
 agleitner...\n\nWith the slowdown of Moore’s law and the stop of Dennard s
 caling, energy efficiency of compute hardware translates to compute power.
  Therefore, high-performance computing (HPC) systems tend to rely more and
  more on accelerators such as field-programmable gate arrays (FPGAs) to fu
 el highly demanding ...\n\n---------------------\nH2RC – Closing Remarks\n
 \nPlessl\n\n---------------------\nFPGAs-as-a-Service Toolkit (FaaST)\n\nR
 ankin, Krupa, Harris, Acosta, Holzman...\n\nComputing needs for high energ
 y physics are already intensive and are expected to increase drastically i
 n the coming years. In this context, heterogeneous computing, specifically
  as-a-service computing, has the potential for significant gains over trad
 itional computing models. Although previous stud...\n\n-------------------
 --\nH2RC – Invited Talk: Fast, Scalable Quantized Neural Network Inference
  on FPGAs with FINN and LogicNets\n\nUmuroglu\n\n---------------------\nEx
 ploring the Acceleration of Nekbone on Reconfigurable Architectures\n\nBro
 wn\n\nHardware technological advances are struggling to match scientific a
 mbition, and a key question is how we can use the transistors that we alre
 ady have more effectively. This is especially true for HPC, where the tend
 ency is often to throw computation at a problem whereas codes themselves a
 re commonl...\n\n---------------------\nH2RC – Introduction: Sixth Interna
 tional Workshop on Heterogeneous High-Performance Reconfigurable Computing
 \n\nO'Brien, Bakos, Plessl, Hoefler, Cappello\n\nAs in the previous five y
 ears, this workshop will bring together application experts, software deve
 lopers and hardware engineers, both from industry and academia, to share e
 xperiences and best practices to leverage the practical application of rec
 onfigurable logic to scientific computing, machine/de...\n\n--------------
 -------\nEvaluating FPGA Accelerator Performance with a Parameterized Open
 CL Adaptation of Selected Benchmarks of the HPC Challenge Benchmark Suite\
 n\nMeyer, Kenter, Plessl\n\nFPGAs have found increasing adoption in data c
 enter applications since a new generation of high-level tools has become a
 vailable which noticeably reduces development time for FPGA accelerators a
 nd still provides high-quality results. There is, however, no high-level b
 enchmark suite available, which ...\n\n---------------------\nFPGA Acceler
 ation of Fluid-Flow Kernels\n\nBlanchard, Stitt, Lam\n\nAdding heterogenei
 ty to high-performance systems has the potential to meet the increasing pe
 rformance demands of applications beyond the era of Moore's Law speedup. I
 n this paper we design and evaluate an FPGA pipeline to accelerate the CMT
 -bone-BE physics application, which is highly scalable, but ...\n\n-------
 --------------\nH2RC – Invited Talk: AIgean: An Open Framework for Machine
  Learning on a Heterogeneous Cluster\n\nChow\n\n---------------------\nH2R
 C – Invited Talk: FPGA Fabric is Eating the World\n\nCasselman\n\n--------
 -------------\nH2RC – Invited Talk: FPGA programming and the oneAPI indust
 ry initiative\n\nKinsner\n\n---------------------\nH2RC - Keynote: Rapid S
 ystem Level Design and Evaluation of Near Memory Fixed Function Units: A R
 econfigurable Computing Application\n\nGokhale\n\n---------------------\nH
 2RC – Break\n\n\n\n---------------------\nOpenCL-Enabled Parallel Raytraci
 ng for Astrophysical Application on Multiple FPGAs with Optical Links\n\nF
 ujita, Kobayashi, Yamaguchi, Boku, Yoshikawa...\n\nWe have optimized the A
 uthentic Radiative Transfer (ART) method to solve space radiative transfer
  problems in early universe astrophysical simulation on Intel Arria 10 FPG
 As as earlier work.  In this paper, we optimize it for the latest FPGA -- 
 Intel Stratix 10 and evaluate its performance comparing...\n\n------------
 ---------\nH2RC – Lunch Break\n\n\n\n---------------------\nH2RC – Break\n
 \nBakos\n\n\nTag: Accelerators, FPGA, and GPUs, Architectures, Emerging Te
 chnologies, Heterogeneous Systems, Reconfigurable Computing\n\nRegistratio
 n Category: Workshop Reg Pass
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