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Optimizing Memory-Access Patterns for Deep Learning Accelerators

Optimizing Memory-Access Patterns for Deep Learning Accelerators

Hongbin Zheng
Sejong Oh
Huiqing Wang
Preston Briggs
J. Gai
Animesh Jain
Yizhi Liu
Rich Heaton
Randy Huang
Yida Wang
ArXiv (abs)PDFHTML

Papers citing "Optimizing Memory-Access Patterns for Deep Learning Accelerators"

2 / 2 papers shown
Title
Inference Optimization of Foundation Models on AI Accelerators
Inference Optimization of Foundation Models on AI Accelerators
Youngsuk Park
Kailash Budhathoki
Liangfu Chen
Jonas M. Kübler
Jiaji Huang
Matthäus Kleindessner
Jun Huan
Volkan Cevher
Yida Wang
George Karypis
122
5
0
12 Jul 2024
A Runtime-Based Computational Performance Predictor for Deep Neural Network Training
A Runtime-Based Computational Performance Predictor for Deep Neural Network Training
Geoffrey X. Yu
Yubo Gao
P. Golikov
Gennady Pekhimenko
3DH
69
68
0
31 Jan 2021