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Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures

Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures

Alireza Amirshahi
G. Ansaloni
David Atienza
ArXivPDFHTML

Papers citing "Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures"

4 / 4 papers shown
Title
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey
J. Zhong
Zheng Liu
Xiangshan Chen
ViT
56
17
0
21 Apr 2023
Full Stack Optimization of Transformer Inference: a Survey
Full Stack Optimization of Transformer Inference: a Survey
Sehoon Kim
Coleman Hooper
Thanakul Wattanawong
Minwoo Kang
Ruohan Yan
...
Qijing Huang
Kurt Keutzer
Michael W. Mahoney
Y. Shao
A. Gholami
MQ
68
102
0
27 Feb 2023
Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization
Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization
Panjie Qi
E. Sha
Qingfeng Zhuge
Hongwu Peng
Shaoyi Huang
Zhenglun Kong
Yuhong Song
Bingbing Li
34
51
0
19 Oct 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu
Benjamin Bolte
Yao-Hung Hubert Tsai
Kushal Lakhotia
Ruslan Salakhutdinov
Abdel-rahman Mohamed
SSL
123
2,879
0
14 Jun 2021

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