https://github.com/andih/cuda-fortran-stream
Variant of STREAM Benchmark in CUDA Fortran
Science Score: 13.0%
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○CITATION.cff file
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○Scientific vocabulary similarity
Low similarity (3.1%) to scientific vocabulary
Keywords
Repository
Variant of STREAM Benchmark in CUDA Fortran
Basic Info
- Host: GitHub
- Owner: AndiH
- License: mit
- Language: Fortran
- Default Branch: master
- Size: 22.5 KB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 2
- Releases: 0
Topics
Metadata Files
README.md
CUDA Fortran STREAM Benchmark
Variant of the STREAM benchmark written in CUDA Fortran (and, hence, working on the GPU).
The PGI compiler is required to compile.
The four STREAM benchmarks are run on the GPU, that is (with arrays a, b, c):
- COPY:
c_j = a_j - SCALE:
b_j = scalar * c_j - ADD:
c_j = a_j + b_j - TRIAD:
a_j = b_j + scalar * c_j
For information is available in stream.F90. The Makefile should suffice to call make run for compiling and running the four micro-benchmarks.
See also www.streambench.org, especially for notes on publishing results based on (variants of) the STREAM benchmark.
Owner
- Name: Andreas Herten
- Login: AndiH
- Kind: user
- Location: Langerwehe, Germany
- Company: Jülich Supercomputing Centre
- Website: http://www.andreasherten.de/
- Twitter: AndiH
- Repositories: 19
- Profile: https://github.com/AndiH
HPC, GPU Computing, Python, LaTeX, and, well…, take a look around…
GitHub Events
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- Fork event: 1
Last Year
- Fork event: 1
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 4
- Total pull requests: 0
- Average time to close issues: 3 days
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- Total issue authors: 1
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- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
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- Average comments per issue: 0
- Average comments per pull request: 0
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Top Authors
Issue Authors
- AndiH (4)