Copertina

MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sridharan, Srinivas, Badea, Theodor-Adrian, Balogh, Andy, Beckmann, Bradford M., Coutinho, Brian, Feng, Louis, Fu, Sheng, Gao, Sanshan, Garakani, Mehryar, Heo, Taekyung, Kanter, David, Ladd, Josh, Li, Ziwei, Liu, Winston, Man, Changhai, Mihailescu, Dan, More, Spandan, Park, Joongun, Ramachandran, Ashwin, Ramakrishnaiah, Vinay, Rashidi, Saeed, Reddi, Vijay Janapa, Sharma, Puneet, Tian, Phio, Won, William, Wu, Hanjiang, Xu, Huan, Yoo, Jinsun, Krishna, Tushar
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Distributed, Parallel, and Cluster Computing Machine Learning Performance
Accesso online:	Acceder al recurso
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Accesso online

https://arxiv.org/abs/2605.11333