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LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

18 March 2024
Massinissa Merouani
Khaled Afif Boudaoud
Iheb Nassim Aouadj
Nassim Tchoulak
Islam Kara Bernou
Hamza Benyamina
F. B. Tayeb
K. Benatchba
Hugh Leather
Riyadh Baghdadi
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Papers citing "LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers"

10 / 10 papers shown
Title
Data-efficient Performance Modeling via Pre-training
Data-efficient Performance Modeling via Pre-training
Chunting Liu
Riyadh Baghdadi
118
1
0
24 Jan 2025
A Deep Learning Based Cost Model for Automatic Code Optimization
A Deep Learning Based Cost Model for Automatic Code Optimization
Riyadh Baghdadi
Massinissa Merouani
Mohamed-Hicham Leghettas
K. Abdous
T. Arbaoui
K. Benatchba
Saman P. Amarasinghe
64
71
0
11 Apr 2021
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
126
395
0
11 Jun 2020
TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning
TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning
Riyadh Baghdadi
Abdelkader Nadir Debbagh
K. Abdous
Fatima-Zohra Benhamida
Alex Renda
Jonathan Frankle
Michael Carbin
Saman P. Amarasinghe
43
17
0
07 May 2020
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation
  using Deep Neural Networks
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks
Charith Mendis
Alex Renda
Saman P. Amarasinghe
Michael Carbin
37
153
0
21 Aug 2018
Learning to Optimize Tensor Programs
Learning to Optimize Tensor Programs
Tianqi Chen
Lianmin Zheng
Eddie Q. Yan
Ziheng Jiang
T. Moreau
Luis Ceze
Carlos Guestrin
Arvind Krishnamurthy
66
401
0
21 May 2018
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
Riyadh Baghdadi
Jessica Ray
Malek Ben Romdhane
Emanuele Del Sozzo
Abdurrahman Akkas
Yunming Zhang
Patricia Suriana
Shoaib Kamil
Saman P. Amarasinghe
42
257
0
27 Apr 2018
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
69
434
0
13 Feb 2018
PENCIL: Towards a Platform-Neutral Compute Intermediate Language for
  DSLs
PENCIL: Towards a Platform-Neutral Compute Intermediate Language for DSLs
Riyadh Baghdadi
Albert Cohen
S. Guelton
Sven Verdoolaege
Jun Inoue
...
Alexey Kravets
Anton Lokhmotov
C. Nugteren
Fraser Waters
Alastair F. Donaldson
91
19
0
22 Feb 2013
The Potential of Synergistic Static, Dynamic and Speculative Loop Nest
  Optimizations for Automatic Parallelization
The Potential of Synergistic Static, Dynamic and Speculative Loop Nest Optimizations for Automatic Parallelization
Riyadh Baghdadi
Albert Cohen
Cédric Bastoul
L. Pouchet
Lawrence Rauchwerger
51
7
0
29 Nov 2011
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