Abstract
Microarchitecture parameters tuning is critical in the microprocessor design cycle. It is a non-trivial design space exploration (DSE) problem due to the large solution space, cycle-accurate simulators' modeling inaccuracy, and high simulation runtime for performance evaluations. Previous methods require massive expert efforts to construct interpretable equations or high computing resource demands to train black-box prediction models. This article follows the black-box methods due to better solution qualities than analytical methods in general. We summarize two learned lessons and propose BOOM-Explorer accordingly. First, embedding microarchitecture domain knowledge in the DSE improves the solution quality. Second, BOOM-Explorer makes the microarchitecture DSE for register-transfer-level designs within the limited time budget feasible. We enhance BOOM-Explorer with the diversity-guidance, further improving the algorithm performance. Experimental results with RISC-V Berkeley-Out-of-Order Machine under 7-nm technology show that our proposed methodology achieves an average of 18.75% higher Pareto hypervolume, 35.47% less average distance to reference set, and 65.38% less overall running time compared to previous approaches.
Original language | English |
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Article number | 20 |
Pages (from-to) | 1-23 |
Number of pages | 23 |
Journal | ACM Transactions on Design Automation of Electronic Systems |
Volume | 29 |
Issue number | 1 |
Early online date | 18 Dec 2023 |
DOIs | |
Publication status | Published - Jan 2024 |
Scopus Subject Areas
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
- Electrical and Electronic Engineering
User-Defined Keywords
- Microprocessor
- design space exploration
- microarchitecture