Yayınlanmış 1 Ocak 2022 | Sürüm v1
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Predicting the Soft Error Vulnerability of GPGPU Applications

  • 1. Izmir Inst Technol, Comp Engn Dept, Izmir, Turkey

Açıklama

As Graphics Processing Units (GPUs) have evolved to deliver performance increases for general-purpose computations as well as graphics and multimedia applications, soft error reliability becomes an important concern. The soft error vulnerability of the applications is evaluated via fault injection experiments. Since performing fault injection takes impractical times to cover the fault locations in complex GPU hardware structures, prediction-based techniques have been proposed to evaluate the soft error vulnerability of General-Purpose GPU (GPGPU) programs based on the hardware performance characteristics.

Dosyalar

bib-df057c5b-a44b-4473-8561-6a0feec7e750.txt

Dosyalar (194 Bytes)

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md5:ceccc3fb2fd62fec17cf01ad394f7c86
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