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Reliability issues in GPGPUs.
Rel. Matteo Sonza Reorda, Luca Sterpone, Josie Esteban Rodriguez Condia, Boyang Du. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2019
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Abstract
The present work discusses approaches for implementing software redundancy schemes using the open source GPGPU model FlexGrip to increase the reliability of a GPGPU. ?? ??Most GPUs do not feature hardware support for error detection, and a device such as GPGPU a corrupt result could be unacceptable, as applications such as machine vision rely on the correctness of the processed image. A fault could occur at any time during the operation of the device, and it's critical that it is either masked or detected. Therefore improving the fidelity of GPGPU using software redundancy seems to be the only way to avoid errors.
?? ??In this work of thesis several approaches for matrix multiplication were produced, recording the performance of each; The three approaches differ in the method by which they guarantee the correct result
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