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Load Balanced On-Chip Power Delivery for Average Current Demand

Published: 18 May 2016 Publication History

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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Cited By

View all
  • (2020)Chip-Specific Power Delivery and Consumption Co-Management for Process-Variation-Aware Manycore Systems Using Reinforcement LearningIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2020.296686628:5(1150-1163)Online publication date: May-2020
  • (2017)Work Load Scheduling For Multi Core Systems With Under-Provisioned Power DeliveryProceedings of the Great Lakes Symposium on VLSI 201710.1145/3060403.3060498(387-392)Online publication date: 10-May-2017
  • (2017)Smart Grid on Chip: Work Load-Balanced On-Chip Power DeliveryIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2017.269964425:9(2538-2551)Online publication date: Sep-2017

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cover image ACM Conferences
GLSVLSI '16: Proceedings of the 26th edition on Great Lakes Symposium on VLSI
May 2016
462 pages
ISBN:9781450342742
DOI:10.1145/2902961
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 18 May 2016

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Author Tags

  1. dynamic power management
  2. load balancing
  3. on-chip voltage regulation
  4. run-time voltage regulator clustering

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May 18 - 20, 2016
Massachusetts, Boston, USA

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GLSVLSI '16 Paper Acceptance Rate 50 of 197 submissions, 25%;
Overall Acceptance Rate 312 of 1,156 submissions, 27%

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Cited By

View all
  • (2020)Chip-Specific Power Delivery and Consumption Co-Management for Process-Variation-Aware Manycore Systems Using Reinforcement LearningIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2020.296686628:5(1150-1163)Online publication date: May-2020
  • (2017)Work Load Scheduling For Multi Core Systems With Under-Provisioned Power DeliveryProceedings of the Great Lakes Symposium on VLSI 201710.1145/3060403.3060498(387-392)Online publication date: 10-May-2017
  • (2017)Smart Grid on Chip: Work Load-Balanced On-Chip Power DeliveryIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2017.269964425:9(2538-2551)Online publication date: Sep-2017

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