Rename to BabelStream
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14
LICENSE
14
LICENSE
@ -12,22 +12,22 @@
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* 3. You are free to publish results obtained from running this
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* 3. You are free to publish results obtained from running this
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* program, or from works that you derive from this program,
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* program, or from works that you derive from this program,
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* with the following limitations:
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* with the following limitations:
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* 3a. In order to be referred to as "GPU-STREAM benchmark results",
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* 3a. In order to be referred to as "BabelStream benchmark results",
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* published results must be in conformance to the GPU-STREAM
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* published results must be in conformance to the BabelStream
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* Run Rules published at
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* Run Rules published at
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* http://github.com/UoB-HPC/GPU-STREAM/wiki/Run-Rules
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* http://github.com/UoB-HPC/BabelStream/wiki/Run-Rules
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* and incorporated herein by reference.
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* and incorporated herein by reference.
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* The copyright holders retain the
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* The copyright holders retain the
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* right to determine conformity with the Run Rules.
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* right to determine conformity with the Run Rules.
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* 3b. Results based on modified source code or on runs not in
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* 3b. Results based on modified source code or on runs not in
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* accordance with the GPU-STREAM Run Rules must be clearly
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* accordance with the BabelStream Run Rules must be clearly
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* labelled whenever they are published. Examples of
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* labelled whenever they are published. Examples of
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* proper labelling include:
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* proper labelling include:
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* "tuned GPU-STREAM benchmark results"
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* "tuned BabelStream benchmark results"
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* "based on a variant of the GPU-STREAM benchmark code"
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* "based on a variant of the BabelStream benchmark code"
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* Other comparable, clear and reasonable labelling is
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* Other comparable, clear and reasonable labelling is
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* acceptable.
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* acceptable.
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* 3c. Submission of results to the GPU-STREAM benchmark web site
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* 3c. Submission of results to the BabelStream benchmark web site
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* is encouraged, but not required.
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* is encouraged, but not required.
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* 4. Use of this program or creation of derived works based on this
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* 4. Use of this program or creation of derived works based on this
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* program constitutes acceptance of these licensing restrictions.
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* program constitutes acceptance of these licensing restrictions.
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14
README.md
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README.md
@ -1,4 +1,4 @@
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GPU-STREAM
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BabelStream
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==========
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==========
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Measure memory transfer rates to/from global device memory on GPUs.
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Measure memory transfer rates to/from global device memory on GPUs.
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@ -16,9 +16,11 @@ Currently implemented are:
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- RAJA
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- RAJA
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- SYCL
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- SYCL
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This code was previously called GPU-STREAM.
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Website
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Website
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-------
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-------
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[uob-hpc.github.io/GPU-STREAM/](https://uob-hpc.github.io/GPU-STREAM/)
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[uob-hpc.github.io/BabelStream/](https://uob-hpc.github.io/BabelStream/)
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Usage
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Usage
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-----
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-----
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@ -68,13 +70,17 @@ Sample results can be found in the `results` subdirectory. If you would like to
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Citing
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Citing
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------
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------
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You can view the [Poster and Extended Abstract](http://sc15.supercomputing.org/sites/all/themes/SC15images/tech_poster/tech_poster_pages/post150.html) on GPU-STREAM presented at SC'15. Please cite GPU-STREAM via this reference:
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Please cite BabelStream via this reference:
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> Deakin T, Price J, Martineau M, McIntosh-Smith S. GPU-STREAM v2.0: Benchmarking the achievable memory bandwidth of many-core processors across diverse parallel programming models. 2016. Paper presented at P^3MA Workshop at ISC High Performance, Frankfurt, Germany.
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> Deakin T, Price J, Martineau M, McIntosh-Smith S. GPU-STREAM v2.0: Benchmarking the achievable memory bandwidth of many-core processors across diverse parallel programming models. 2016. Paper presented at P^3MA Workshop at ISC High Performance, Frankfurt, Germany.
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**Other GPU-STREAM publications:**
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**Other BabelStream publications:**
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> Deakin T, McIntosh-Smith S. GPU-STREAM: Benchmarking the achievable memory bandwidth of Graphics Processing Units. 2015. Poster session presented at IEEE/ACM SuperComputing, Austin, United States.
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> Deakin T, McIntosh-Smith S. GPU-STREAM: Benchmarking the achievable memory bandwidth of Graphics Processing Units. 2015. Poster session presented at IEEE/ACM SuperComputing, Austin, United States.
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You can view the [Poster and Extended Abstract](http://sc15.supercomputing.org/sites/all/themes/SC15images/tech_poster/tech_poster_pages/post150.html).
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> Deakin T, Price J, Martineau M, McIntosh-Smith S. GPU-STREAM: Now in 2D!. 2016. Poster session presented at IEEE/ACM SuperComputing, Salt Lake City, United States.
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You can view the [Poster and Extended Abstract](http://sc16.supercomputing.org/sc-archive/tech_poster/tech_poster_pages/post139.html).
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2
main.cpp
2
main.cpp
@ -54,7 +54,7 @@ void parseArguments(int argc, char *argv[]);
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int main(int argc, char *argv[])
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int main(int argc, char *argv[])
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{
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{
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std::cout
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std::cout
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<< "GPU-STREAM" << std::endl
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<< "BabelStream" << std::endl
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<< "Version: " << VERSION_STRING << std::endl
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<< "Version: " << VERSION_STRING << std::endl
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<< "Implementation: " << IMPLEMENTATION_STRING << std::endl;
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<< "Implementation: " << IMPLEMENTATION_STRING << std::endl;
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