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Ansor: Generating High-Performance Tensor Programs for Deep Learning

Ansor: Generating High-Performance Tensor Programs for Deep Learning

11 June 2020
Lianmin Zheng
Chengfan Jia
Minmin Sun
Zhao Wu
Cody Hao Yu
Ameer Haj-Ali
Yida Wang
Jun Yang
Danyang Zhuo
Koushik Sen
Joseph E. Gonzalez
Ion Stoica
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Papers citing "Ansor: Generating High-Performance Tensor Programs for Deep Learning"

3 / 53 papers shown
Title
DynaComm: Accelerating Distributed CNN Training between Edges and Clouds
  through Dynamic Communication Scheduling
DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling
Shangming Cai
Dongsheng Wang
Haixia Wang
Yongqiang Lyu
Guangquan Xu
Xi Zheng
A. Vasilakos
29
6
0
20 Jan 2021
FusionStitching: Boosting Memory Intensive Computations for Deep
  Learning Workloads
FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads
Zhen Zheng
Pengzhan Zhao
Guoping Long
Feiwen Zhu
Kai Zhu
Wenyi Zhao
Lansong Diao
Jun Yang
Wei Lin
22
29
0
23 Sep 2020
A model-driven approach for a new generation of adaptive libraries
A model-driven approach for a new generation of adaptive libraries
Marco Cianfriglia
Damiano Perri
C. Nugteren
Anton Lokhmotov
G. Fursin
18
14
0
19 Jun 2018
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