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Differential Power Processing for Ultra-Efficient Data Storage

delete2021-04-01
delete26
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OA
AI
P
Ping Wang
Y
Yenan Chen
J
Jing Yuan
R
Robert C. N. Pilawa-Podgurski
M
Minjie Chen *
DOI:10.1109/TPEL.2020.3022089delete
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Abstract

Abstract

En 中文
This article presents the hardware, software, and power codesign of an ultra-efficient data storage server with differential power processing (DPP). DPP can reduce the power conversion stress, improve the efficiency, and enhance the functionality of modular power electronics systems. The power inputs of a large number of hard disk drives (HDDs) were connected in series and supported by a multiport ac-coupled differential power processing (MAC-DPP) converter through a multiwinding transformer. Methods for controlling the multi-input multi-output power flow in the multiwinding transformer while avoiding core saturation were investigated. A ten-port MAC-DPP prototype with 700-W/in(3) power density was built to support a 450-W HDD storage system with ten series-stacked voltage domains. The prototype was tested on a 50-HDD server testbench, and the overall system loss is below 1 W (99.77% system efficiency). The server was able to maintain high-speed reading and writing operation of all 50 HDDs against the worst hot-swapping scenarios. A variety of hardware/software configurations and many cloud storage techniques were tested on the fully functioning server. Experimental results show that the energy efficiency of large-scale information systems (CPU/GPU clusters, memory banks, HDD arrays, etc.) can be greatly improved by software, hardware, and power codesign.
Keywords:
Data center
differential power processing (DPP)
distributed control
energy-efficient computing
multiport converter
multiwinding transformer

Journal

IEEE Transactions on Power Electronics cover
IEEE Transactions on Power Electronics
IF:
6.5
Papers:
1.7W
Citations:
8.3W

Organization

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Princeton University
Scholars:
2.1W
Papers: 2.3W
Citations: 5.1W
University of California System cover
University of California System
Scholars:
37.7W
Papers: 33.8W
Citations: 6.6K
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