GPUburn: A system to test and mitigate GPU hardware failures
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6601057/6621089/06621133.pdf?arnumber=6621133
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11
2. STLs for GPUs: Using High-Level Language Approaches;IEEE Design & Test;2023-08
3. GPU Devices for Safety-Critical Systems: A Survey;ACM Computing Surveys;2022-12-15
4. Failure modes and failure mitigation in GPGPUs: a reference model and its application;2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC);2022-06
5. A New Method to Generate Software Test Libraries for In-Field GPU Testing Resorting to High-Level Languages;2022 IEEE 40th VLSI Test Symposium (VTS);2022-04-25
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