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...

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Bibliographic Details
Published in:CCF transactions on high performance computing (Online) Vol. 2; no. 4; pp. 382 - 400
Main Authors: Fang, Jianbin, Huang, Chun, Tang, Tao, Wang, Zheng
Format: Journal Article
Language:English
Published: Singapore Springer Singapore 01.12.2020
Springer Nature B.V
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:2524-4922
2524-4930
DOI:10.1007/s42514-020-00039-4