SimHost: A Lightweight End-to-End Simulation Framework for HPC Network Systems

As high-performance computing (HPC) systems continue to grow in scale and complexity, simulation has emerged as a crucial tool for evaluating network performance, especially when real hardware is unavailable. However, achieving highly accurate results quickly and with low overhead in large-scale network evaluations remains a significant challenge. To tackle this issue, we propose SimHost, a lightweight end-to-end offline simulation framework featuring flexible communication and host models tailored for large-scale network simulations. SimHost enables the replay of application communication events without requiring an actual or virtualized execution environment or hardware. It accurately restores the message passing and system processing overheads of real application execution, delivering evaluation results consistent with physical deployments. With its cross-platform and discrete event design, SimHost integrates seamlessly with existing simulators, needing only minimal modifications for synchronous operation. Evaluations and use cases confirm that SimHost’s workloads accurately replicate real-world scenarios. Experimental results indicate that SimHost achieves less than 5.12% error in application completion time compared to the testbed, while maintaining only 7% simulation runtime overhead when scaled to 2048 nodes relative to synthetic workloads.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Architecture and Code Optimization
Published
2025-09-23
DOI
https://doi.org/10.1145/3767339
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SimHost: A Lightweight End-to-End Simulation Framework for HPC Network Systems

絵未 恩田, Huaxi Gu, Wenting Wei, Tiantian Li et al.
ACM Transactions on Architecture and Code Optimization
Distributed and Parallel Computing Systems
article

SimHost: A Lightweight End-to-End Simulation Framework for HPC Network Systems

絵未 恩田, Huaxi Gu, Wenting Wei, Tiantian Li, Hong Zou
article en

Abstract

As high-performance computing (HPC) systems continue to grow in scale and complexity, simulation has emerged as a crucial tool for evaluating network performance, especially when real hardware is unavailable. However, achieving highly accurate results quickly and with low overhead in large-scale network evaluations remains a significant challenge. To tackle this issue, we propose SimHost, a lightweight end-to-end offline simulation framework featuring flexible communication and host models tailored for large-scale network simulations. SimHost enables the replay of application communication events without requiring an actual or virtualized execution environment or hardware. It accurately restores the message passing and system processing overheads of real application execution, delivering evaluation results consistent with physical deployments. With its cross-platform and discrete event design, SimHost integrates seamlessly with existing simulators, needing only minimal modifications for synchronous operation. Evaluations and use cases confirm that SimHost’s workloads accurately replicate real-world scenarios. Experimental results indicate that SimHost achieves less than 5.12% error in application completion time compared to the testbed, while maintaining only 7% simulation runtime overhead when scaled to 2048 nodes relative to synthetic workloads.

ACM Transactions on Architecture and Code OptimizationVol. 22(4)
Griffith University (AU), Xidian University (CN)
Openalex Percentile: Top 70%
Distributed and Parallel Computing Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.