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.
Authors
- Nutan Agarwal (ORCID: https://orcid.org/0000-0002-5668-3221)
- Rachna Sehgal
- Kirthi Ravindra Kulkarni
- Anandhavel Nagendrakumar
- Eishan Mirakhur
- Chandana Manjula Linganna
- Ranjit Gupte
Institutions
- Micron (United States) (US)
Publication Details
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1109/hipcw63042.2024.00025
- Primary Topic
- Scheduling and Optimization Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00