Abstract | ||
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Power-performance efficiency is still remaining a primary concern for microprocessor designers. One of the sources of power inefficiency for recent LSI chips is increasing leakage power consumption. Power-gating is a well known technique to reduce leakage power consumption by switching off the power supply to idle logic blocks. Recently, fine-grained power-gating is emerged as a technique to minimize leakage current during the active processor cycles by switching on and off a logic blocks in much finer temporal/spatial granularity. Though fine-grained power-gating is useful, a comprehensive evaluation and analysis has not been conducted on a real LSI chips. In this paper, we evaluate fine-grained run-time power-gating for microprocessors' functional units using a real embedded microprocessor. We also introduce an architecture and compiler co-operative power-gating scheme which mitigates negative power reduction caused by the energy overhead associated with fine-grained power-gating. The experimental results with a fabricated core shows that a hardware-based scheme saves power consumption of functional units by 44% and hardware compiler co-operative scheme further improves power efficiency by 5.9% when core temperature is 25 °C. |
Year | DOI | Venue |
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2014 | 10.7873/DATE.2014.158 | DATE |
Keywords | Field | DocType |
embedded systems,large scale integration,microprocessor chips,power aware computing,LSI chips,efficiency 5.9 percent,embedded microprocessors,fine grained power gating,leakage current,leakage power consumption,logic blocks,negative power reduction,power performance efficiency,power supply,temperature 25 degC | Electrical efficiency,Leakage (electronics),Computer science,Idle,Microprocessor,Real-time computing,Compiler,Power gating,Granularity,Power consumption,Embedded system | Conference |
ISSN | Citations | PageRank |
1530-1591 | 4 | 0.42 |
References | Authors | |
19 | 13 |
Name | Order | Citations | PageRank |
---|---|---|---|
Masaaki Kondo | 1 | 162 | 17.18 |
Hiroaki Kobyashi | 2 | 4 | 0.42 |
Ryuichi Sakamoto | 3 | 17 | 5.36 |
Motoki Wada | 4 | 5 | 0.79 |
Jun Tsukamoto | 5 | 33 | 3.72 |
Mitaro Namiki | 6 | 97 | 20.69 |
Weihan Wang | 7 | 19 | 6.08 |
Hideharu Amano | 8 | 1375 | 210.21 |
Kensaku Matsunaga | 9 | 4 | 0.42 |
Masaru Kudo | 10 | 17 | 2.94 |
Kimiyoshi Usami | 11 | 528 | 75.61 |
Toshiya Komoda | 12 | 36 | 2.68 |
Hiroshi Nakamura | 13 | 70 | 5.12 |