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Moses: Efficient Exploitation of Cross-device Transferable Features for
  Tensor Program Optimization

Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization

15 January 2022
Zhihe Zhao
Xian Shuai
Yang Bai
Neiwen Ling
Nan Guan
Zhenyu Yan
Guoliang Xing
ArXivPDFHTML

Papers citing "Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization"

6 / 6 papers shown
Title
FTuner: A Fast Dynamic Shape Tensors Program Auto-Tuner for Deep
  Learning Compilers
FTuner: A Fast Dynamic Shape Tensors Program Auto-Tuner for Deep Learning Compilers
Pengyu Mu
Linquan Wei
Yi Liu
Rui Wang
25
0
0
31 Jul 2024
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of
  Tensor Programs
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs
Hanpeng Hu
Junwei Su
Juntao Zhao
Yanghua Peng
Yibo Zhu
Haibin Lin
Chuan Wu
16
1
0
16 Nov 2023
TLP: A Deep Learning-based Cost Model for Tensor Program Tuning
TLP: A Deep Learning-based Cost Model for Tensor Program Tuning
Yiqiang Zhai
Yu Zhang
Shuo Liu
Xiaomeng Chu
Jie Peng
Jianmin Ji
Yanyong Zhang
20
29
0
07 Nov 2022
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision
  Transformer
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta
Mohammad Rastegari
ViT
200
1,212
0
05 Oct 2021
MetaTune: Meta-Learning Based Cost Model for Fast and Efficient
  Auto-tuning Frameworks
MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks
Jaehun Ryu
Hyojin Sung
49
16
0
08 Feb 2021
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network
  Compilation
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
Byung Hoon Ahn
Prannoy Pilligundla
Amir Yazdanbakhsh
H. Esmaeilzadeh
ODL
53
80
0
23 Jan 2020
1