IMP: Indirect Memory Prefetcher

Machine learning, graph analytics and sparse linear algebra-based applications are dominated by irregular memory accesses resulting from following edges in a graph or non-zero elements in a sparse matrix. These accesses have little temporal or spatial locality, and thus incur long memory stalls and...

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Bibliographic Details
Main Authors: Yu, Xiangyao (Contributor), Hughes, Christopher J. (Author), Satish, Nadathur (Author), Devadas, Srinivas (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2017-12-01T22:03:16Z.
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