SC2021Top-tier venue
HPAC: evaluating approximate computing techniques on HPC OpenMP applications
Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon, James Diffenderfer, Ignacio Laguna, Daniel Osei-Kuffuor, Markus Schordan
Abstract
As we approach the limits of Moore's law, researchers are exploring new paradigms for future high-performance computing (HPC) systems. Approximate computing has gained traction by promising to deliver substantial computing power. However, due to the stringent accuracy requirements of HPC scientific applications, the broad adoption of approximate computing methods in HPC requires an in-depth understanding of the application's amenability to approximations.
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Install the CLIlune papers get bd099aed-ec7a-493e-a9ca-554880627103Cited by top-tier papers3
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