Finding Effective Compiler Optimization Sequences: A Hybrid Approach

Autor:	Nilton Luiz Queiroz Junior, Anderson Faustino da Silva, Luis Gustavo Araujo Rodriguez
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	68N20 Computer science General Engineering Optimizing compiler computer.software_genre Hybrid approach machine learning Computer engineering Compilers iterative compilation optimization selection problem Compiler computer optimization Selection (genetic algorithm)
Zdroj:	COMPUTING AND INFORMATICS; Vol. 39 No. 6 (2020): Computing and Informatics; 1117–1147
ISSN:	1335-9150 2585-8807
Popis:	The Optimization Selection Problem is widely known in computer science for its complexity and importance. Several approaches based on machine learning and iterative compilation have been proposed to mitigate this problem. Although these approaches provide several advantages, they have disadvantages that can hinder the performance. This paper proposes a hybrid approach that combines the best of machine learning and iterative compilation. Several experiments were performed using different strategies, metrics and hardware platforms. A thorough analysis of the results reveals that the hybrid approach is a considerable improvement over machine learning and iterative compilation. In addition, the hybrid approach outperforms the best compiler optimization level of LLVM.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7658ab8c56c163473c5c879e98afb22 https://www.cai.sk/ojs/index.php/cai/article/view/2020_6_1117 Zobrazit plný text záznamu