2023
DOI: 10.21203/rs.3.rs-3372503/v1
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Comparative Analysis of Soft-Error Sensitivity in LU Decomposition Algorithms on Diverse GPUs

German Leon,
Jose M Badia,
Jose A Belloch
et al.

Abstract: Graphics Processing Units (GPUs) have become integral to embedded systems and supercomputing centers due to their large memory, cutting-edge technology and high performace per watt. However, their susceptibility to transient errors necessitates a comprehensive analysis of error sensitivity, as well as the development of error mitigation techniques and fault-tolerant algorithms. This study focuses on evaluating the soft-error sensitivity of two distinct versions of LU decomposition algorithms implemented two on… Show more

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