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DTSTART:19700308T020000
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DTSTAMP:20210402T160558Z
LOCATION:Track 6
DTSTART;TZID=America/New_York:20201113T144500
DTEND;TZID=America/New_York:20201113T151500
UID:submissions.supercomputing.org_SC20_sess225_ws_h2rc106@linklings.com
SUMMARY:FPGA Acceleration of Fluid-Flow Kernels
DESCRIPTION:Workshop\n\nFPGA Acceleration of Fluid-Flow Kernels\n\nBlancha
 rd, Stitt, Lam\n\nAdding heterogeneity to high-performance systems has the
  potential to meet the increasing performance demands of applications beyo
 nd the era of Moore's Law speedup. In this paper we design and evaluate an
  FPGA pipeline to accelerate the CMT-bone-BE physics application, which is
  highly scalable, but performance bound by compute-heavy fluid-flow kernel
 s. For the targeted kernels, a single instance of our FPGA pipeline shows 
 a speedup of up to 9.4x over a CPU core. For the entire application worklo
 ad, this kernel acceleration provides an average 1.5x speedup over a CPU c
 ore, while also outperforming a GPU. With even mid-range FPGAs providing e
 nough resources to replicate our pipeline over 8 times, we project that th
 e FPGA accelerator can add and/or replace 12 equivalent cores with a low-p
 ower alternative, with additional time-sharing optimizations potentially i
 ncreasing that amount significantly.\n\nTag: Accelerators, FPGA, and GPUs,
  Architectures, Emerging Technologies, Heterogeneous Systems, Reconfigurab
 le Computing\n\nRegistration Category: Workshop Reg Pass
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