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Communication Dans Un Congrès Année : 2024

An Overview on Mixing MPI and OpenMP Dependent Tasking on A64FX

Résumé

The adoption of ARM processor architectures is on the rise in the HPC ecosystem. Fugaku supercomputer is a homogeneous ARMbased machine, and is one among the most powerful machine in the world. In the programming world, dependent task-based programming models are gaining tractions due to their many advantages: dynamic load balancing, implicit expression of communication/computation overlap, early-bird communication posting,. .. MPI and OpenMP are two widespreads programming standards that make possible task-based programming at a distributed memory level. Despite its many advantages, mixed-use of the standard programming models using dependent tasks is still under-evaluated on large-scale machines. In this paper, we provide an overview on mixing OpenMP dependent tasking model with MPI with the state-of-the-art software stack (GCC-13, Clang17, MPC-OMP). We provide the level of performances to expect by porting applications to such mixed-use of the standard on the Fugaku supercomputers, using two benchmarks (Cholesky, HPCCG) and a proxy-application (LULESH). We show that software stack, resource binding and communication progression mechanisms are factors that have a significant impact on performance. On distributed applications, performances reaches up to 80% of effiency for task-based applications like HPCCG. We also point-out a few areas of improvements in OpenMP runtimes.
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Dates et versions

hal-04370966 , version 1 (03-01-2024)

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Romain Pereira, Adrien Roussel, Miwako Tsuji, Patrick Carribault, Mitsuhisa Sato, et al.. An Overview on Mixing MPI and OpenMP Dependent Tasking on A64FX. International Workshop on Arm-based HPC 2024 (IWAHPCE-2024), Jan 2024, Nagoya, Japan. pp.1-10, ⟨10.1145/3636480.3637094⟩. ⟨hal-04370966⟩
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