Towards Implicit Memory Management for Portable Parallel Programming in C++
Pages 52 - 56
Abstract
We consider the challenge of programming modern high-performance parallel processors including multi-core CPUs and many-core GPUs (Graphics Processing Units). Our approach is based on using the widely-spread programming language C++ in a portable way, i.e., the same program code runs on different target architectures. The contribution of this paper is that we extend our existing programming framework PACXX (Programming Accelerators in C++) with an additional compilation pass which allows to simplify the program data management for the programmer and makes the programming process less error-prone. We describe our current work in progress on implementing the implicit data management by presenting the major design choices and illustrating the advantages of our approach using simple programming examples.
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Index Terms
- Towards Implicit Memory Management for Portable Parallel Programming in C++
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Published In
May 2020
163 pages
ISBN:9781450377102
DOI:10.1145/3399871
Copyright © 2020 ACM.
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- Nanyang Technological University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 03 July 2020
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- Research-article
- Research
- Refereed limited
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ASSE '20
ASSE '20: 2020 Asia Service Sciences and Software Engineering Conference
May 13 - 15, 2020
Nagoya, Japan
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