TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators
Over the past few years, the explosion in sparse tensor algebra workloads has led to a corresponding rise in domain-specific accelerators to service them. Due to the irregularity present in sparse tensors, these accelerators employ a wide variety of novel solutions to achieve good performance. At th...
Main Authors: | Nayak, Nandeeka, Odemuyiwa, Toluwanimi O., Ugare, Shubham, Fletcher, Christopher, Pellauer, Michael, Emer, Joel |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
ACM|56th Annual IEEE/ACM International Symposium on Microarchitecture
2024
|
Online Access: | https://hdl.handle.net/1721.1/153258 |
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