This repository contains data and analysis for benchmarking the Grid data parallel C++ mathematical object library on the DiRAC systems.
The source code can be obtained from the public Github repository:
All benchmarks were run using the source from the dirac-ITT branch. The typical process for checking out the code would be:
git clone https://[email protected]/paboyle/Grid
cd Grid
git checkout release/dirac-ITT
General information on compiling Grid can be found at:
with specific instructions for the benchmark at:
The build process for each of the systems we have run on can be found in the doc/ subfolder.
Information on running the DiRAC Grid benchamrk can be found at:
Note that the MPI task distribution across problem dimensions used at different node counts follows the following rules:
- Distribute as evenly as possible
- Larger numbers should be in the left-most dimension
This leads to the following distributions when using 2 MPI tasks per node (usually best on two-socket nodes):
- 1 node (2 MPI tasks): 2.1.1.1
- 2 nodes (4 MPI tasks): 2.2.1.1
- 4 nodes (8 MPI tasks): 2.2.2.1
- 8 nodes (16 MPI tasks): 2.2.2.2
- 16 nodes (32 MPI tasks): 4.2.2.2
- 32 nodes (64 MPI tasks): 4.4.2.2
- etc.
The benchmark has been run on the following systems:
| System | Node | Interconnect | Combinations |
|---|---|---|---|
| DiRAC Memory Intensive (COSMA7) | 2x Intel Xeon Skylake Gold 5120, 512 GiB DDR4 | Mellanox EDR | Intel 2018; Intel MPI 2018 |
| DiRAC Extreme Scaling (Tesseract) | 2x Intel Xeon Skylake Silver 4112, 92 GiB DDR4 | Intel OPA | Intel 2018; Intel MPI 2018 |
Output from benchmark runs can be found in the results/ subdirectory.
Information on evaluating performance can be found at:
Scripts we have used to extract performance and plot comparisons can be found in the analysis/ subdirectory.
If you want further information on these benchmarks, please contact the DiRAC Helpdesk at: [email protected]:1