Web: http://arxiv.org/abs/2205.05826

May 13, 2022, 1:10 a.m. | Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer

cs.CV updates on arXiv.org arxiv.org

In recent years, many accelerators have been proposed to efficiently process
sparse tensor algebra applications (e.g., sparse neural networks). However,
these proposals are single points in a large and diverse design space. The lack
of systematic description and modeling support for these sparse tensor
accelerators impedes hardware designers from efficient and effective design
space exploration. This paper first presents a unified taxonomy to
systematically describe the diverse sparse tensor accelerator design space.
Based on the proposed taxonomy, it then introduces …

ar arxiv modeling tensor

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