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Applies to: ✔️ Linux VMs ✔️ Windows VMs ✔️ Flexible scale sets ✔️ Uniform scale sets
Performance expectations using common HPC microbenchmarks are as follows:
| Workload | HBv5 |
|---|---|
| STREAM Triad | ≈ 6.6 TB/s |
| High-Performance Linpack (HPL) | Up to 16 TF (Rpeak, FP64) for 368-core VM size |
| RDMA latency & bandwidth | < 2 microseconds (1 byte), 800 Gb/s (one-way) |
| FIO on local NVMe SSDs (RAID0) | 50 GB/s reads, 30 GB/s writes |
Process pinning
Process pinning works well on HBv5-series VMs because we expose the underlying silicon as-is to the guest VM. We strongly recommend process pinning for optimal performance and consistency.
STREAM Memory bandwidth test
The STREAM memory test can be run using the scripts in this GitHub repository.
git clone https://github.com/Azure/woc-benchmarking
cd woc-benchmarking/apps/hpc/stream/
sh build_stream.sh
sh stream_run_script.sh $PWD “hbrs_v5”
Compute performance test
The HPL benchmark can be run using the script in this GitHub repository.
git clone https://github.com/Azure/woc-benchmarking
cd woc-benchmarking/apps/hpc/hpl
sh hpl_build_script.sh
sh hpl_run_scr_HBv5.sh $PWD
MPI latency
The MPI latency test from the OSU microbenchmark suite can be executed as shown. Sample scripts are on GitHub.
module load mpi/hpcx
mpirun -np 2 --host $src,$dst --map-by node -x LD_LIBRARY_PATH $HPCX_OSU_DIR/osu_latency
Note
Define source(src) and destination(dst).
MPI bandwidth
The MPI bandwidth test from the OSU microbenchmark suite can be executed per below. Sample scripts are on GitHub.
module load mpi/hpcx
mpirun -np 2 --host $src,$dst --map-by node -x LD_LIBRARY_PATH $HPCX_OSU_DIR/osu_bw
Next steps
- Learn about scaling MPI applications.
- Read about the latest announcements, HPC workload examples, and performance results at the Azure HPC Microsoft Community Hub.
- For a higher-level architectural view of running HPC workloads, see High Performance Computing (HPC) on Azure.