Conference proceeding
Applying Swarm Intelligence to Distributed On-Chip Power Management
2019 IEEE 37TH INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD 2019), pp 532-540
01 Jan 2019
Abstract
An on-chip power management technique is developed that makes use of particle swarm optimization (PSO) to improve the performance per watt of the circuit while maintaining the power integrity. On-line learning is applied to determine the optimum reference voltages of the on-chip voltage regulators set through the PSO to reduce the energy consumption of the system while preventing any timing failure due to process variation, voltage variation, temperature, and aging. The run-time adaptive voltage delivery technique is applicable to any processor architecture. Simulation results on a streaming multi-processor similar to the NVIDIA GV100 GPU in a 7 inn FinFET technology indicate an average reduction of 35%, 40%, and 5% in, respectively, the power consumption, the threshold voltage drift, and the operating temperature as compared to existing techniques that implement static voltage guardbands.
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Details
- Title
- Applying Swarm Intelligence to Distributed On-Chip Power Management
- Creators
- Divya Pathak - Drexel UniversityIoannis Savidis - Drexel UniversityIEEE
- Publication Details
- 2019 IEEE 37TH INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD 2019), pp 532-540
- Series
- Proceedings IEEE International Conference on Computer Design
- Publisher
- IEEE
- Number of pages
- 9
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000542037800068
- Scopus ID
- 2-s2.0-85081167378
- Other Identifier
- 991019168516904721
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- Web of Science research areas
- Computer Science, Hardware & Architecture
- Engineering, Electrical & Electronic