NICEST-2 - the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives.
Nordic Collaboration on e-Infrastructures for Earth System Modeling Tools
The Ohio State University (OSU) Micro Benchmarks (OMB) are a widely used suite of benchmarks for measuring and evaluating the performance of MPI operations for point-to-point, multi-pair, and collective communications. These benchmarks are often used for comparing different Message Passing Inerface (MPI) implementations and the underlying network interconnect. Here we use the OSU micro-benchmark (version 7.2) to assess the performance in terms of bandwidth achieved with an Apptainer container between 2 processors on different nodes with OpenMPI (version 4.1.6) on the Norwegian academic High Performance Computers (HPC) located in Tromsø (Fram) and Trondheim (Betzy).
OSU MPI Get Bandwidth Test v7.2 with OpenMPI 4.1.6 on Fram & Betzy - fork
OSU MPI Get Bandwidth Test v7.2 with OpenMPI 4.1.6 on Fram & Betzy
Iaquinta, Jean. "OSU MPI Get Bandwidth Test v7.2 with OpenMPI 4.1.6 on Fram & Betzy." ROHub. Jan 05 ,2024. https://w3id.org/ro-id/ee8895fd-fe5a-46d7-9228-9d98a2d3a205.
Plot showing the bandwidth as a function of the message size on Fram and Betzy
Output of the OSU MPI Get Bandwidth Test with openMPI 4.1.6 on Fram and Betzy
Here we use the OSU micro-benchmark (version 7.2) to assess the performance in terms of bandwidth achieved with an Apptainer container between 2 processors on different nodes with OpenMPI (version 4.1.6) on the Norwegian academic High Performance Computers (HPC) located in Tromsø (Fram) and Trondheim (Betzy)
These benchmarks are often used for comparing different Message Passing Inerface (MPI) implementations and the underlying network interconnect.
The Ohio State University (OSU) Micro Benchmarks (OMB) are a widely used suite of benchmarks for measuring and evaluating the performance of MPI operations for point-to-point, multi-pair, and collective communications.
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