Difference between revisions of "Improving MPI communication latency on euroben kernels"
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{{project info | {{project info | ||
|description=Improving the MPI collective performance by network aware communication | |description=Improving the MPI collective performance by network aware communication | ||
| + | |fields=Computational science | ||
|financing=PRACE | |financing=PRACE | ||
| − | |active= | + | |active=No |
|start date=2010-07-01 | |start date=2010-07-01 | ||
|end date=2012-06-30 | |end date=2012-06-30 | ||
| Line 9: | Line 10: | ||
The goal of this project is to improve the performance of some euroben kernels. This project is part of PRACE-1ip, WP7.5. The euroben kernel is a set of synthetic benchmark codes which is developed by PRACE. This kernel is used for benchmarking PRACE systems. Some of these benchmarks, e.g., mod2f uses MPI_Alltoall based collective for doing fast Fourier transform. Generally the MPI_Alltoall scaling on many nodes is not good. The performance of alltoall operation can be improved by introducing network awareness in alltoall operation. This can be done by writing a modified alltoall and then calling that from the application code. We tested our modified alltoall on mod2f benchmark with good results | The goal of this project is to improve the performance of some euroben kernels. This project is part of PRACE-1ip, WP7.5. The euroben kernel is a set of synthetic benchmark codes which is developed by PRACE. This kernel is used for benchmarking PRACE systems. Some of these benchmarks, e.g., mod2f uses MPI_Alltoall based collective for doing fast Fourier transform. Generally the MPI_Alltoall scaling on many nodes is not good. The performance of alltoall operation can be improved by introducing network awareness in alltoall operation. This can be done by writing a modified alltoall and then calling that from the application code. We tested our modified alltoall on mod2f benchmark with good results | ||
| + | |||
| + | Status | ||
| + | |||
| + | * Started code modification. The basic algorithm will remain same. Will map the communication such that there is more communication within node than outside. [30/03/2011] | ||
| + | |||
| + | * Some initial results are obtained and some improvements are achieved [25/05/2011] | ||
| + | |||
| + | * The tests are run on Curie. The standard MPI_Alltoallv calls are repalced by topology aware MPI_Alltoallv_tuned calls. [16/01/2012] | ||
| + | |||
| + | * Contributed to deliverable D7.5: [[media:7.5.D_Guidelines_for_D7.5.pdf|report]] [28/02/2012] | ||
| + | * Writing final report | ||
== Members == | == Members == | ||
Latest revision as of 10:52, 23 April 2013
| Name | Improving MPI communication latency on euroben kernels |
|---|---|
| Description | Improving the MPI collective performance by network aware communication |
| Project financing | PRACE |
| Is active | No |
| Start date | 2010-07-01 |
| End date | 2012-06-30 |
The goal of this project is to improve the performance of some euroben kernels. This project is part of PRACE-1ip, WP7.5. The euroben kernel is a set of synthetic benchmark codes which is developed by PRACE. This kernel is used for benchmarking PRACE systems. Some of these benchmarks, e.g., mod2f uses MPI_Alltoall based collective for doing fast Fourier transform. Generally the MPI_Alltoall scaling on many nodes is not good. The performance of alltoall operation can be improved by introducing network awareness in alltoall operation. This can be done by writing a modified alltoall and then calling that from the application code. We tested our modified alltoall on mod2f benchmark with good results
Status
- Started code modification. The basic algorithm will remain same. Will map the communication such that there is more communication within node than outside. [30/03/2011]
- Some initial results are obtained and some improvements are achieved [25/05/2011]
- The tests are run on Curie. The standard MPI_Alltoallv calls are repalced by topology aware MPI_Alltoallv_tuned calls. [16/01/2012]
- Contributed to deliverable D7.5: report [28/02/2012]
- Writing final report
Members
| Centre | Role | Field | |
|---|---|---|---|
| Chandan Basu (NSC) | NSC | Application expert | Computational science |
