Title

Silent Data Corruption (SDC) Vulnerability of GPU on Various GPGPU Workloads

Abstract

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.

Meeting Name

Proceedings of the International SoC Design Conference: ISOCC: SoC for Internet of Everything (IoE) (2015: Nov. 2-5, Gyeongju, South Korea)

Department(s)

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)

9781467393089

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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