Refactoring GrPPI: Generic Refactoring for Generic Parallelism in C++

Author:

Brown ChristopherORCID,Janjic Vladimir,Barwell Adam D.,Garcia J. Daniel,MacKenzie Kenneth

Abstract

AbstractThe Generic Reusable Parallel Pattern Interface (GrPPI) is a very useful abstraction over different parallel pattern libraries, allowing the programmer to write generic patterned parallel code that can easily be compiled to different backends such as FastFlow, OpenMP, Intel TBB and C++ threads. However, rewriting legacy code to use GrPPI still involves code transformations that can be highly non-trivial, especially for programmers who are not experts in parallelism. This paper describes software refactorings to semi-automatically introduce instances of GrPPI patterns into sequential C++ code, as well as safety checking static analysis mechanisms which verify that introducing patterns into the code does not introduce concurrency-related bugs such as race conditions. We demonstrate the refactorings and safety-checking mechanisms on four simple benchmark applications, showing that we are able to obtain, with little effort, GrPPI-based parallel versions that accomplish good speedups (comparable to those of manually-produced parallel versions) using different pattern backends.

Funder

Horizon 2020 Framework Programme

Engineering and Physical Sciences Research Council

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Theoretical Computer Science,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Performance and programmability of GrPPI for parallel stream processing on multi-cores;The Journal of Supercomputing;2024-02-26

2. A Latency, Throughput, and Programmability Perspective of GrPPI for Streaming on Multi-cores;2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP);2023-03

3. A Systematic Literature Review on Software- refactoring Techniques, Challenges, and Practices;VFAST Transactions on Software Engineering;2022-12-30

4. Restoration of Legacy Parallelism: Transforming Pthreads into Farm and Pipeline Patterns;International Journal of Parallel Programming;2021-06-10

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