SCHEDULE: NOV 10-16, 2012
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Evaluating the Error Resilience of GPGPU Applications
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu
ROOM:East Entrance
ABSTRACT:
GPUs have been originally designed for error-resilient workload. Today, GPUs are used in error-sensitive applications, e.g. General Purpose GPU (GPGPU) applications. The goal of this project is to investigate the error resilience of GPGPU applications and understand their reliability characteristics. To this end, we employ fault injection on real GPU hardware. We find that, compared to CPUs, GPU platforms lead to a higher rate of silent data corruption a major concern since these errors are not flagged at runtime and often remain latent. We also find that out-of-bound memory accesses are the most critical reason of crashes on GPGPU applications.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Bo Fang - University of British Columbia
Jiesheng Wei - University of British Columbia
Karthik Pattabiraman - University of British Columbia
Matei Ripeanu - University of British Columbia
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Evaluating the Error Resilience of GPGPU Applications
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu
ROOM:East Entrance
ABSTRACT:
GPUs have been originally designed for error-resilient workload. Today, GPUs are used in error-sensitive applications, e.g. General Purpose GPU (GPGPU) applications. The goal of this project is to investigate the error resilience of GPGPU applications and understand their reliability characteristics. To this end, we employ fault injection on real GPU hardware. We find that, compared to CPUs, GPU platforms lead to a higher rate of silent data corruption a major concern since these errors are not flagged at runtime and often remain latent. We also find that out-of-bound memory accesses are the most critical reason of crashes on GPGPU applications.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Bo Fang - University of British Columbia
Jiesheng Wei - University of British Columbia
Karthik Pattabiraman - University of British Columbia
Matei Ripeanu - University of British Columbia
Click here to download .ics calendar file