Multicore and Network Topology Codesign for Pareto-Optimal Multinode Architecture

This paper presents an exploration framework for multinode multicore High-Performance Computing (HPC) systems. The proposed method allows to explore rapidly various network topologies to find the optimized solutions in terms of latency for a given application. The proposed method facilitates the in-depth Design Space Exploration (DSE) to identify Pareto-optimal solutions in HPC systems. Experiments demonstrate that our method accelerates HW-SW co-design search by a factor of 3.7 compared to a semi-exhaustive method.

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Publication Details

Published
2024-08-26
DOI
https://doi.org/10.23919/eusipco63174.2024.10715023
Citations
1
Primary Topic
Interconnection Networks and Systems
Type
article
Field-Weighted Citation Impact
0.35
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article

Multicore and Network Topology Codesign for Pareto-Optimal Multinode Architecture

Erwan Raffin, Jean-François Nezan, Karol Desnos, Ophélie Renaud
1 citations
Interconnection Networks and Systems
0.35
article

Multicore and Network Topology Codesign for Pareto-Optimal Multinode Architecture

Erwan Raffin, Jean-François Nezan, Karol Desnos, Ophélie Renaud
article en
1 citations

Abstract

This paper presents an exploration framework for multinode multicore High-Performance Computing (HPC) systems. The proposed method allows to explore rapidly various network topologies to find the optimized solutions in terms of latency for a given application. The proposed method facilitates the in-depth Design Space Exploration (DSE) to identify Pareto-optimal solutions in HPC systems. Experiments demonstrate that our method accelerates HW-SW co-design search by a factor of 3.7 compared to a semi-exhaustive method.

Centre National de la Recherche Scientifique (FR), Institut National des Sciences Appliquées de Rennes (FR), Université de Rennes (FR)
Openalex Percentile: Top 43%
Interconnection Networks and Systems
0.35
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