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2002.12798
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Optimizing Memory-Access Patterns for Deep Learning Accelerators
27 February 2020
Hongbin Zheng
Sejong Oh
Huiqing Wang
Preston Briggs
J. Gai
Animesh Jain
Yizhi Liu
Rich Heaton
Randy Huang
Yida Wang
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Papers citing
"Optimizing Memory-Access Patterns for Deep Learning Accelerators"
2 / 2 papers shown
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
358
16
0
12 Jul 2024
A Runtime-Based Computational Performance Predictor for Deep Neural Network Training
USENIX Annual Technical Conference (USENIX ATC), 2021
Geoffrey X. Yu
Yubo Gao
P. Golikov
Gennady Pekhimenko
3DH
234
85
0
31 Jan 2021
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