Buchumschlag

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Liao, Gang, Qin, Hongsen, Wang, Ying, Golden, Alicia, Kuchnik, Michael, Yetim, Yavuz, Ang, Jia Jiunn, Fu, Chunli, He, Yihan, Hsia, Samuel, Jiang, Zewei, Li, Dianshi, Pashkevich, Uladzimir, Puvvada, Varna, Shi, Feng, Steiner, Matt, Xiao, Ruichao, Yan, Nathan, Yu, Xiayu, Fang, Zhou, Levenstein, Roman, Ho, Kunming, Zhu, Haishan, Hammond, Alec, Li, Richard, Mathews, Ajit, Gondkar, Kaustubh, Zainul-Abedin, Abdul, Singh, Ketan, Yu, Hongtao, Chi, Wenyuan, Huang, Barney, Zhang, Sean, Weller, Noah, Marine, Zach, Cook, Wyatt, Wu, Carole-Jean, Liu, Gaoxiang
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Machine Learning Artificial Intelligence Hardware Architecture Multiagent Systems Performance
Online-Zugang:	Acceder al recurso
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Online

https://arxiv.org/abs/2512.23236