Journal article
Smart Grid on Chip: Work Load-Balanced On-Chip Power Delivery
IEEE transactions on very large scale integration (VLSI) systems, v 25(9), pp 2538-2551
Sep 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper, a dynamic on-chip power delivery system for chip multiprocessors (CMPs) is proposed, analogous to the smart grid deployed for large-scale energy distribution. The system includes underprovisioned on-chip voltage regulators (VRs) interconnected through a switch network. The peak current rating of the VRs is selected to meet only the average current demand of the cores. A real-time load-balancing algorithm is developed to reconfigure the power delivery network (PDN) by combining the output of multiple VRs when the workload demand exceeds the peak current rating of a single regulator. An operating system level task scheduling heuristic distributes the workloads on the cores such that the required reconfiguration of the PDN is minimized. Simulation results for the proposed power delivery system indicate up to a 44% reduction in the energy consumption of the CMP. In addition, the on-chip footprint of the PDN, including the on-chip VRs and the switching network, is reduced by at least 23%. The proposed cross-layer power management technique is an optimum solution for power-constrained many-core architectures implemented in advanced technology nodes.
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Details
- Title
- Smart Grid on Chip: Work Load-Balanced On-Chip Power Delivery
- Creators
- Divya Pathak - Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USAHouman Homayoun - Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USAIoannis Savidis - Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
- Publication Details
- IEEE transactions on very large scale integration (VLSI) systems, v 25(9), pp 2538-2551
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000408425400014
- Scopus ID
- 2-s2.0-85020460970
- Other Identifier
- 991014877915004721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Engineering, Electrical & Electronic