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Tiwari et al., 2015 - Google Patents

Understanding GPU errors on large-scale HPC systems and the implications for system design and operation

Tiwari et al., 2015

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Document ID
5878475964015931506
Author
Tiwari D
Gupta S
Rogers J
Maxwell D
Rech P
Vazhkudai S
Oliveira D
Londo D
DeBardeleben N
Navaux P
Carro L
Bland A
Publication year
Publication venue
2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)

External Links

Snippet

Increase in graphics hardware performance and improvements in programmability has enabled GPUs to evolve from a graphics-specific accelerator to a general-purpose computing device. Titan, the world's second fastest supercomputer for open science in 2014 …
Continue reading at www.osti.gov (PDF) (other versions)

Classifications

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    • G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
    • G06F11/0721—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment within a central processing unit [CPU]
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