Title | ||
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System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System |
Abstract | ||
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AbstractDespite being employed in numerous efforts to improve power delivery efficiency, the integrated voltage regulator (IVR) approach has yet to be evaluated rigorously and quantitatively in a full power delivery system (PDS) setting. To fulfill this need, we present a system-level modeling and design space exploration framework called Ivory for IVR-assisted power delivery systems. Using a novel modeling methodology, it can accurately estimate power delivery efficiency, static performance characteristics, and dynamic transient responses under different load variations and external voltage/frequency scaling conditions. We validate the model over a wide range of IVR topologies with silicon measurement and SPICE simulation. Finally, we present two case studies using architecture-level performance and power simulators. The first case study focuses on optimal PDS design for multi-core systems, which achieves 8.6% power efficiency improvement over conventional off-chip voltage regulator module– (VRM) based PDS. The second case study explores the design tradeoffs for IVR-assisted PDSs in CPU and GPU systems with fast per-core dynamic voltage and frequency scaling (DVFS). We find 2 μs to be the optimal DVFS timescale, which not only reaps energy benefits (12.5% improvement in CPU and 50.0% improvement in GPU) but also avoids costly IVR overheads. |
Year | DOI | Venue |
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2021 | 10.1145/3468145 | ACM Transactions on Architecture and Code Optimization |
Keywords | DocType | Volume |
Integrated voltage regulators, power delivery systems, processor power efficiency, voltage noise, fast dynamic voltage and frequency scaling, CPU, GPU | Journal | 18 |
Issue | ISSN | Citations |
4 | 1544-3566 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
An Zou | 1 | 7 | 2.12 |
Huifeng Zhu | 2 | 1 | 2.37 |
Jingwen Leng | 3 | 49 | 12.97 |
Xin He | 4 | 80 | 28.00 |
Vijay Janapa Reddi | 5 | 2931 | 140.26 |
Christopher D. Gill | 6 | 789 | 55.35 |
Xuan Zhang | 7 | 0 | 0.68 |