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Hauberk: Lightweight Silent Data Corruption Error Detector for GPGPU

High performance and relatively low cost of GPU-based platforms provide an attractive alternative for general purpose high performance computing (HPC). However, the emerging HPC applications have usually stricter output cor-rectness requirements than typical GPU applications (i.e., 3D graphics). This paper first analyzes the error resiliency of GPGPU platforms using a fault injection tool we have devel-oped for commodity GPU devices. On average, 16-33% of in-jected faults cause silent data corruption (SDC) errors in the HPC programs executing on GPU. This SDC ratio is signifi-cantly higher than that measured in CPU programs (