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Autotuning OpenCL Workgroup Size for Stencil Patterns
v1v2v3 (latest)

Autotuning OpenCL Workgroup Size for Stencil Patterns

8 November 2015
Chris Cummins
Pavlos Petoumenos
Michel Steuwer
Hugh Leather
ArXiv (abs)PDFHTML

Papers citing "Autotuning OpenCL Workgroup Size for Stencil Patterns"

3 / 3 papers shown
Towards making the most of NLP-based device mapping optimization for
  OpenCL kernels
Towards making the most of NLP-based device mapping optimization for OpenCL kernels
Petros Vavaroutsos
Ioannis Oroutzoglou
Dimosthenis Masouros
Dimitrios Soudris
130
1
0
30 Aug 2022
Performance Aware Convolutional Neural Network Channel Pruning for
  Embedded GPUs
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUsIEEE International Symposium on Workload Characterization (IISWC), 2019
Valentin Radu
Kuba Kaszyk
Yuan Wen
Jack Turner
José Cano
Elliot J. Crowley
Björn Franke
Amos Storkey
Michael F. P. O'Boyle
CVBM
174
39
0
20 Feb 2020
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
544
245
0
13 Jan 2018
1
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