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Optimization Techniques for GPU Programming

delete2023-03-16
delete26
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OA
AI
P
Pieter Hijma *
S
Stijn Heldens
A
Alessio Sclocco
B
Ben van Werkhoven
H
Henri E. Bal
DOI:10.1145/3570638delete
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摘要

摘要

En 中文
In the past decade, Graphics Processing Units have played an important role in the field of high-performance computing and they still advance new fields such as IoT, autonomous vehicles, and exascale computing. It is therefore important to understand how to extract performance from these processors, something that is not trivial. This survey discusses various optimization techniques found in 450 articles published in the last 14 years. We analyze the optimizations from different perspectives which shows that the various optimizations are highly interrelated, explaining the need for techniques such as auto-tuning.
Keyword:
Survey
GPU
optimization
optimization techniques
performance bottleneck

期刊

ACM Computing Surveys 封面图
ACM Computing Surveys
IF:
28
论文数:
2.5K
被引数:
3.5W

机构

V
Vrije Universiteit Amsterdam
学者数:
4.2W
论文数: 3.7W
被引数: 3.7W
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