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DTSTART;TZID=America/Denver:20191122T110000
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UID:submissions.supercomputing.org_SC19_sess132_ws_p3hpc109@linklings.com
SUMMARY:RAJA: Portable Performance for Large-Scale Scientific Applications
DESCRIPTION:Workshop\n\nRAJA: Portable Performance for Large-Scale Scienti
 fic Applications\n\nBeckingsale, Burmark, Hornung, Jones, Killian...\n\nMo
 dern high-performance computing systems are diverse, with hardware designs
  ranging from homogeneous multi-core CPUs to GPU or FPGA accelerated syste
 ms.  Achieving desirable application performance often requires choosing a
  programming model best suited to a particular platform. For large codes u
 sed daily in production that are under continual development, architecture
 -specific ports are untenable. Maintainability requires single-source appl
 ication code that is performance portable across a range of architectures 
 and programming models.\n\nIn this paper, we describe RAJA, a portability 
 layer that enables C++ applications to leverage various programming models
 , and thus architectures - with a single-source codebase. We describe prel
 iminary results using RAJA in three large production codes at Lawrence Liv
 ermore National Laboratory, observing 17x, 13x and 12x speedup on GPU-only
  over CPU-only nodes with single-source application code in each case.\n\n
 Tag: Workshop Reg Pass, Parallel Programming Languages, Libraries, and Mod
 els, Performance, Portability, Productivity\n\nRegistration Category: Work
 shop Reg Pass, Parallel Programming Languages, Libraries, and Models, Perf
 ormance, Portability, Productivity
URL:https://sc19.supercomputing.org/presentation/?id=ws_p3hpc109&sess=sess
 132
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