Silent Data Corruption (SDC) Vulnerability of GPU on Various GPGPU Workloads
GPU (Graphics Processing Unit) is emerging as a key 3D/2D graphics and parallel workload accelerator in various SoC applications. As semiconductor fabrication technology continues to scale, chips (especially those with extremely high transistor counts such as processors) are becoming increasingly vulnerable to faults that could produce unwanted errors in computing. The most severe problem is Silent Data Corruption (SDC) because this fault insidiously generates erroneous outputs without being detected. This paper discusses the characterization of SDC vulnerability of GPU on various GPGPU (General Purpose computing on GPU) workloads.
M. Vishwanathan et al., "Silent Data Corruption (SDC) Vulnerability of GPU on Various GPGPU Workloads," Proceedings of the International SoC Design Conference: SoC for Internet of Everything (IoE) (2015, Gyeongju, South Korea), pp. 11-12, Institute of Electrical and Electronics Engineers (IEEE), Nov 2015.
The definitive version is available at https://doi.org/10.1109/ISOCC.2015.7401681
Proceedings of the International SoC Design Conference: ISOCC: SoC for Internet of Everything (IoE) (2015: Nov. 2-5, Gyeongju, South Korea)
Electrical and Computer Engineering
Keywords and Phrases
Computer Graphics; Crime; Image Coding; Program Processors; System-on-Chip; Three Dimensional Computer Graphics; General Purpose Computing On GPU; Graphics Processing Unit; Parallel Workloads; Semiconductor Fabrication Technology; Silent Data Corruption (SDC); SoC Application; Transistor Count; Computer Graphics Equipment
International Standard Book Number (ISBN)
Article - Conference proceedings
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