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Paper
:
Fault Tolerant One-Sided Matrix Decompositions on Heterogeneous Systems with GPUs
Event Type
Paper
Registration Categories
TP
Tags
Algorithms
Architectures
GPUs
Linear Algebra
Networks
Resiliency
TimeThursday, November 15th2pm - 2:30pm
LocationC141/143/149
DescriptionCurrent algorithm-based fault tolerance (ABFT) approach for one-sided matrix decomposition on heterogeneous systems with GPUs have following limitations: (1) they do not provide sufficient protection as most of them only maintain checksum in one dimension; (2) their checking scheme is not efficient due to redundant checksum verifications; (3) they fail to protect PCIe communication; (4) the checksum calculation based on a special type of matrix multiplication is far from efficient. By overcoming the above limitations, we design an efficient ABFT approach providing stronger protection for one-sided matrix decomposition methods on heterogeneous systems. First, we provide full matrix protection by using checksums in two dimensions. Second, our checking scheme is more efficient by prioritizing the checksum verification according to the sensitivity of matrix operations to soft errors. Third, we protect PCIe communication by reordering checksum verifications and decomposition steps. Fourth, we accelerate the checksum calculation by 1.7x via better utilizing GPUs.
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