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LS-CAT: A Large-Scale CUDA AutoTuning Dataset

LS-CAT: A Large-Scale CUDA AutoTuning Dataset

26 March 2021
Lars Bjertnes
Jacob O. Tørring
A. Elster
ArXiv (abs)PDFHTML

Papers citing "LS-CAT: A Large-Scale CUDA AutoTuning Dataset"

4 / 4 papers shown
Title
ProGraML: Graph-based Deep Learning for Program Optimization and
  Analysis
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
Chris Cummins
Zacharias V. Fisches
Tal Ben-Nun
Torsten Hoefler
Hugh Leather
142
57
0
23 Mar 2020
Neural Code Comprehension: A Learnable Representation of Code Semantics
Neural Code Comprehension: A Learnable Representation of Code Semantics
Tal Ben-Nun
Alice Shoshana Jakobovits
Torsten Hoefler
50
242
0
19 Jun 2018
A Survey on Compiler Autotuning using Machine Learning
A Survey on Compiler Autotuning using Machine Learning
Amir H. Ashouri
W. Killian
John Cavazos
G. Palermo
Cristina Silvano
75
202
0
13 Jan 2018
Autotuning GPU Kernels via Static and Predictive Analysis
Autotuning GPU Kernels via Static and Predictive Analysis
Robert V. Lim
Boyana Norris
A. Malony
22
29
0
30 Jan 2017
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