Conference proceeding
Load balanced on-chip power delivery for average current demand
2016 International Great Lakes Symposium on VLSI (GLSVLSI), v 18-20-, pp 439-444
May 2016
Abstract
A dynamic power management system for homogeneous chip multi-processors (CMP) is proposed. Each core of the CMP includes on chip DC-DC switching buck converters that are interconnected through a switch network. The peak current rating of the buck converter is selected to meet only the average current demand of the load circuit. A real-time load balancing algorithm is developed which reconfigures the power delivery network by combining the output of multiple buck converters when the workload demand exceeds the peak current rating. Simulation results for the proposed power delivery method indicate up to a 44% reduction in the energy consumption of the CMP system. In addition, the on-chip footprint of the power delivery network, including the on-chip voltage regulators and the switching network, is reduced by at least 23%.
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Details
- Title
- Load balanced on-chip power delivery for average current demand
- Creators
- Divya Pathak - Drexel UniversityMohammad Hossein Hajkazemi - George Mason UniversityMohammad Khavari Tavana - George Mason University, Mason, OH, USAHouman Homayoun - George Mason UniversityIoannis Savidis - Drexel UniversityIEEE
- Publication Details
- 2016 International Great Lakes Symposium on VLSI (GLSVLSI), v 18-20-, pp 439-444
- Conference
- 2016 International Great Lakes Symposium on VLSI (GLSVLSI)
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000389775900080
- Scopus ID
- 2-s2.0-84974707436
- Other Identifier
- 991019173803804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Theory & Methods