Improving Simulations of Task-Based Applications on Complex NUMA Architectures - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2023

Improving Simulations of Task-Based Applications on Complex NUMA Architectures

Abstract

Modeling and simulation are crucial in high-performance computing (HPC), with numerous frameworks developed for distributed computing infrastructures and their applications. Despite node-level simulation of shared-memory systems and task-based parallel applications, existing works overlook non-uniform memory access (NUMA) effects, a critical characteristic of current HPC platforms. In this work, we introduce a modeling for complex NUMA architectures and enhance a simulator for dependency-based task-parallel applications. This facilitates experiments with varied data locality models: we refine a communication-oriented model leveraging topology information for data transfers, and devise a more intricate model incorporating a cache mechanism for last-level cache data storage. Dense linear algebra test cases are used to validate both models, demonstrating that our simulator reliably predicts execution time with minimal relative error.
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hal-04201317 , version 1 (11-09-2023)

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Idriss Daoudi, Thierry Gautier, Samuel Thibault, Swann Perarnau. Improving Simulations of Task-Based Applications on Complex NUMA Architectures. IWOMP 2023 - 19th International Workshop on OpenMP, Sep 2023, Bristol, United Kingdom. pp.195-209, ⟨10.1007/978-3-031-40744-4_13⟩. ⟨hal-04201317⟩
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