59 lines
2.3 KiB
Markdown
59 lines
2.3 KiB
Markdown
GPU-STREAM
|
|
==========
|
|
|
|
Measure memory transfer rates to/from global device memory on GPUs.
|
|
This benchmark is similar in spirit, and based on, the STREAM benchmark [1] for CPUs.
|
|
|
|
Unlike other GPU memory bandwidth benchmarks this does *not* include the PCIe transfer time.
|
|
|
|
There are multiple implementations of this benchmark in a variety of programming models.
|
|
Currently implemented are:
|
|
- OpenCL
|
|
- CUDA
|
|
- OpenACC
|
|
- OpenMP 3 and 4.5
|
|
- Kokkos
|
|
- RAJA
|
|
- SYCL
|
|
|
|
Website
|
|
-------
|
|
[uob-hpc.github.io/GPU-STREAM/](https://uob-hpc.github.io/GPU-STREAM/)
|
|
|
|
Usage
|
|
-----
|
|
|
|
Drivers, compiler and software applicable to whichever implementation you would like to build against is required.
|
|
|
|
We have supplied a series of Makefiles, one for each programming model, to assist with building.
|
|
The Makefiles contain common build options, and should be simple to customise for your needs too.
|
|
|
|
General usage is `make -f <Model>.make`
|
|
Common compiler flags and names can be set by passing a `COMPILER` option to Make, e.g. `make COMPILER=GNU`.
|
|
Some models allow specifying a CPU or GPU style target, and this can be set by passing a `TARGET` option to Make, e.g. `make TARGET=GPU`.
|
|
|
|
Pass in extra flags via the `EXTRA_FLAGS` option.
|
|
|
|
The binaries are named in the form `<model>-stream`.
|
|
|
|
|
|
Results
|
|
-------
|
|
|
|
Sample results can be found in the `results` subdirectory. If you would like to submit updated results, please submit a Pull Request.
|
|
|
|
Citing
|
|
------
|
|
|
|
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:
|
|
|
|
> 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.
|
|
|
|
**Other GPU-STREAM publications:**
|
|
|
|
> 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.
|
|
|
|
|
|
|
|
[1]: McCalpin, John D., 1995: "Memory Bandwidth and Machine Balance in Current High Performance Computers", IEEE Computer Society Technical Committee on Computer Architecture (TCCA) Newsletter, December 1995.
|