Onyx: A 12nm 756 GOPS/W Coarse-Grained Reconfigurable Array for Accelerating Dense and Sparse Applications

Onyx is the first fully programmable accelerator for arbitrary sparse tensor algebra kernels. Unlike prior work, it supports higher-order tensors, multiple inputs, and fusion. It achieves this with a coarse-grained reconfigurable array (CGRA) that has composable memory primitives for storing compres...

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Veröffentlicht in:	Digest of technical papers - Symposium on VLSI Technology S. 1 - 2
Hauptverfasser:	Koul, Kalhan, Strange, Maxwell, Melchert, Jackson, Carsello, Alex, Mei, Yuchen, Hsu, Olivia, Kong, Taeyoung, Chen, Po-Han, Ke, Huifeng, Zhang, Keyi, Liu, Qiaoyi, Nyengele, Gedeon, Balasingam, Akhilesh, Adivarahan, Jayashree, Sharma, Ritvik, Xie, Zhouhua, Torng, Christopher, Emer, Joel, Kjolstad, Fredrik, Horowitz, Mark, Raina, Priyanka
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 16.06.2024
Schlagworte:	Algebra Image coding Kernel Libraries Machine learning Tensors Very large scale integration
ISSN:	2158-9682
Online-Zugang:	Volltext
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