SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator

2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)(2021)

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摘要
Sparse matrix-vector multiplication (SpMV) is an important primitive across a wide range of application domains such as scientific computing and graph analytics. Due to its intrinsic memory-bound characteristics, the performance of SpMV on throughput-oriented architectures such as GPU is bounded by the limited bandwidth between processors and memory. Processing-in-memory (PIM) architectures, made ...
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关键词
Associative memory,Three-dimensional displays,Scientific computing,Stacking,Memory architecture,Graphics processing units,Bandwidth
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