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Comparison of parallelisation approaches, languages, and compilers for unstructured mesh algorithms on GPUs
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Balogh, G. D., Reguly, Istvan Z. and Mudalige, Gihan R. (2017) Comparison of parallelisation approaches, languages, and compilers for unstructured mesh algorithms on GPUs. In: 8th IEEE International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS17), Denver CO. US, 13 Nov 2017. Published in: Lecture Notes in Computer Science, 10724 (10724). pp. 22-43. ISBN 9783319729701. ISSN 0302-9743. doi:10.1007/978-3-319-72971-8_2
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Official URL: http://www.springer.com/gb/book/9783319729701
Abstract
Efficiently exploiting GPUs is increasingly essential in scientific computing, as many current and upcoming supercomputers are built using them. To facilitate this, there are a number of programming approaches, such as CUDA, OpenACC and OpenMP 4, supporting different programming languages (mainly C/C++ and Fortran). There are also several compiler suites (clang, nvcc, PGI, XL) each supporting different combinations of languages. In this study, we take a detailed look at some of the currently available options, and carry out a comprehensive analysis and comparison using computational loops and applications from the domain of unstructured mesh computations. Beyond runtimes and performance metrics (GB/s), we explore factors that influence performance such as register counts, occupancy, usage of different memory types, instruction counts, and algorithmic differences. Results of this work show how clang’s CUDA compiler frequently outperform NVIDIA’s nvcc, performance issues with directive-based approaches on complex kernels, and OpenMP 4 support maturing in clang and XL; currently around 10% slower than CUDA.
| Item Type: | Conference Item (Paper) | |||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | |||||||||
| Divisions: | Faculty of Science > Computer Science | |||||||||
| Library of Congress Subject Headings (LCSH): | Graphics processing units, Compilers (Computer programs), Algorithms | |||||||||
| Series Name: | Lecture Notes in Computer Science | |||||||||
| Journal or Publication Title: | Lecture Notes in Computer Science | |||||||||
| Publisher: | Springer | |||||||||
| Place of Publication: | Cham, Switzerland | |||||||||
| ISBN: | 9783319729701 | |||||||||
| ISSN: | 0302-9743 | |||||||||
| Book Title: | High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation. PMBS 2017 | |||||||||
| Editor: | Jarvis, Stephen A. and Wright, S. and Hammond, S. | |||||||||
| Official Date: | 23 December 2017 | |||||||||
| Dates: |
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| Date of first compliant deposit: | 9 January 2018 | |||||||||
| Volume: | 10724 | |||||||||
| Number: | 10724 | |||||||||
| Number of Pages: | 261 | |||||||||
| Page Range: | pp. 22-43 | |||||||||
| DOI: | 10.1007/978-3-319-72971-8_2 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | |||||||||
| Title of Event: | 8th IEEE International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS17) | |||||||||
| Type of Event: | Workshop | |||||||||
| Location of Event: | Denver CO. US | |||||||||
| Date(s) of Event: | 13 Nov 2017 | |||||||||
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| Open Access Version: |
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