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Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code

Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code

27 April 2018
Riyadh Baghdadi
Jessica Ray
Malek Ben Romdhane
Emanuele Del Sozzo
Abdurrahman Akkas
Yunming Zhang
Patricia Suriana
Shoaib Kamil
Saman P. Amarasinghe
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Papers citing "Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code"

4 / 4 papers shown
Title
MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices
MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices
Mohammadali Shakerdargah
Shan Lu
Chao Gao
Di Niu
101
0
0
20 Nov 2024
LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers
LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers
Massinissa Merouani
Khaled Afif Boudaoud
Iheb Nassim Aouadj
Nassim Tchoulak
Islam Kara Bernou
Hamza Benyamina
F. B. Tayeb
K. Benatchba
Hugh Leather
Riyadh Baghdadi
72
2
0
18 Mar 2024
Ansor: Generating High-Performance Tensor Programs for Deep Learning
Ansor: Generating High-Performance Tensor Programs for Deep Learning
Lianmin Zheng
Chengfan Jia
Minmin Sun
Zhao Wu
Cody Hao Yu
...
Jun Yang
Danyang Zhuo
Koushik Sen
Joseph E. Gonzalez
Ion Stoica
118
391
0
11 Jun 2020
Tensor Comprehensions: Framework-Agnostic High-Performance Machine
  Learning Abstractions
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Nicolas Vasilache
O. Zinenko
Theodoros Theodoridis
Priya Goyal
Zach DeVito
William S. Moses
Sven Verdoolaege
Andrew Adams
Albert Cohen
62
432
0
13 Feb 2018
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