Performance optimization on CXL products using in-house modeling and simulation toolchain

This paper presents a comprehensive, end-to-end workflow, spanning from software simulation analysis to correlation between the software model and the actual hardware performance. This study compares the performance numbers obtained using the in-house CXL device software simulation tool to the actual performance of a physical CXL device connected to a host server. The first section examines critical parameters that govern the performance of the CXL controller using an in-house CXL model software simulator. The second section discusses the considerations for evaluating the performance of CXL controller through detailed CXL protocol trace analysis and CXL model software simulations.

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Publication Details

Published
2024-12-18
DOI
https://doi.org/10.1109/hipcw63042.2024.00025
Primary Topic
Scheduling and Optimization Algorithms
Type
article
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Performance optimization on CXL products using in-house modeling and simulation toolchain

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Performance optimization on CXL products using in-house modeling and simulation toolchain

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article en

Abstract

This paper presents a comprehensive, end-to-end workflow, spanning from software simulation analysis to correlation between the software model and the actual hardware performance. This study compares the performance numbers obtained using the in-house CXL device software simulation tool to the actual performance of a physical CXL device connected to a host server. The first section examines critical parameters that govern the performance of the CXL controller using an in-house CXL model software simulator. The second section discusses the considerations for evaluating the performance of CXL controller through detailed CXL protocol trace analysis and CXL model software simulations.

Micron (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 59%
Scheduling and Optimization Algorithms
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