Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling

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 ten...

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Veröffentlicht in:	2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO) S. 1377 - 1395
Hauptverfasser:	Wu, Yannan Nellie, Tsai, Po-An, Parashar, Angshuman, Sze, Vivienne, Emer, Joel S.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2022
Schlagworte:	Analytical modeling Analytical models Computational modeling Hardware Accelerator Neural networks Stochastic processes Systematics Taxonomy Tensor computation Tensors
Online-Zugang:	Volltext
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