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A sparse matrix contains a high percentage of zero’s, (as compared to dense matrices) and to obtain high end performance, special data structures are needed as well as logic to avoid meaningless ...
SparseP software package provides 25 SpMV kernels for real PIM systems supporting the four most widely used compressed matrix formats, and a wide range of data types. Our extensive evaluation provides ...
Structured sparsity has emerged as a promising approach to streamline the complexity of modern Machine Learning (ML) applications and facilitate the handling of sparse data in hardware. Accelerating ...
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