Optimization Techniques for GPU Programming

Autor:	Pieter Hijma, Stijn Heldens, Alessio Sclocco, Ben van Werkhoven, Henri E. Bal
Přispěvatelé:	Computer Systems, Network Institute, High Performance Distributed Computing
Rok vydání:	2023
Předmět:	Additional Key Words and PhrasesSurvey General Computer Science GPU optimization techniques SDG 7 - Affordable and Clean Energy optimization performance bottleneck Theoretical Computer Science
Zdroj:	ACM Computing Surveys, 55(11):239, 1-81. Association for Computing Machinery (ACM) Hijma, P, Heldens, S, Sclocco, A, Van Werkhoven, B & Bal, H E 2023, ' Optimization Techniques for GPU Programming ', ACM Computing Surveys, vol. 55, no. 11, 239, pp. 1-81 . https://doi.org/10.1145/3570638
ISSN:	1557-7341 0360-0300
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d1fb20cd3f4ce9c676f92cb70e201f6 https://doi.org/10.1145/3570638 Zobrazit plný text záznamu Plný text ve formátu PDF