Parallel programming models for heterogeneous many-cores: a comprehensive survey

Heterogeneous many-cores are now an integral part of modern computing systems ranging from embedding systems to supercomputers. While heterogeneous many-core design offers the potential for energy-efficient high-performance, such potential can only be unlocked if the application programs are suitabl...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:CCF transactions on high performance computing (Online) Ročník 2; číslo 4; s. 382 - 400
Hlavní autori: Fang, Jianbin, Huang, Chun, Tang, Tao, Wang, Zheng
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Singapore Springer Singapore 01.12.2020
Springer Nature B.V
Predmet:
Algorithms
Assembly language
Communication
Computation
Computer Hardware
Computer Science
Computer Systems Organization and Communication Networks
Linear algebra
Machine learning
Parallel programming
Programmers
Software
Supercomputers
Survey Paper
Heterogeneous computing
Parallel programming models
Many-core architectures
ISSN:2524-4922, 2524-4930
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Heterogeneous many-cores are now an integral part of modern computing systems ranging from embedding systems to supercomputers. While heterogeneous many-core design offers the potential for energy-efficient high-performance, such potential can only be unlocked if the application programs are suitably parallel and can be made to match the underlying heterogeneous platform. In this article, we provide a comprehensive survey for parallel programming models for heterogeneous many-core architectures and review the compiling techniques of improving programmability and portability. We examine various software optimization techniques for minimizing the communicating overhead between heterogeneous computing devices. We provide a road map for a wide variety of different research areas. We conclude with a discussion on open issues in the area and potential research directions. This article provides both an accessible introduction to the fast-moving area of heterogeneous programming and a detailed bibliography of its main achievements.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2524-4922
2524-4930
DOI:10.1007/s42514-020-00039-4