東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ null ]

切換: 標籤 | MARC模式 | ISBD

Power-aware design in modern computi...

Zhang, Yan.

FindBook

Google Book

Amazon

博客來

Power-aware design in modern computing systems.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Power-aware design in modern computing systems./
作者:	Zhang, Yan.
面頁冊數:	151 p.
附註:	Adviser: Mircea R. Stan.
Contained By:	Dissertation Abstracts International68-01B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3248093

Power-aware design in modern computing systems.
Zhang, Yan.

Power-aware design in modern computing systems. - 151 p.

Adviser: Mircea R. Stan.

Thesis (Ph.D.)--University of Virginia, 2007.

As the result of the increased device integration and IC design complexity, power consumption becomes an important design constraint and major barrier for technology scaling. Meanwhile with the advent of mobile computing devices, and with the new trends towards embedded and system-on-a-chip computing, power-awareness becomes one of the primary design goals for mobile computing systems. In data-driven computing system, storage device plays a more important role in determining their performance. High performance requirement leads to high power dissipation which again leads to high temperature. Since temperature has a significant impact on system reliability and cooling cost, power aware design for storage system is gaining more importance. I/Os and buses also consume a large amount of power because of large load capacitances. As technology scales to sub-micron dimensions, power dissipation due to coupling capacitances becomes the dominant factor, especially for long on-chip buses.Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Power-aware design in modern computing systems.
LDR:03201nam 2200265 a 45 001 954900
005 20110622
008 110622s2007 ||||||||||||||||| ||eng d
035 $a (UMI)AAI3248093
035 $a AAI3248093
040 $a UMI $c UMI
100 1 $a Zhang, Yan. $3 1035418
245 1 0 $a Power-aware design in modern computing systems.
300 $a 151 p.
500 $a Adviser: Mircea R. Stan.
500 $a Source: Dissertation Abstracts International, Volume: 68-01, Section: B, page: 0533.
502 $a Thesis (Ph.D.)--University of Virginia, 2007.
520 $a As the result of the increased device integration and IC design complexity, power consumption becomes an important design constraint and major barrier for technology scaling. Meanwhile with the advent of mobile computing devices, and with the new trends towards embedded and system-on-a-chip computing, power-awareness becomes one of the primary design goals for mobile computing systems. In data-driven computing system, storage device plays a more important role in determining their performance. High performance requirement leads to high power dissipation which again leads to high temperature. Since temperature has a significant impact on system reliability and cooling cost, power aware design for storage system is gaining more importance. I/Os and buses also consume a large amount of power because of large load capacitances. As technology scales to sub-micron dimensions, power dissipation due to coupling capacitances becomes the dominant factor, especially for long on-chip buses.
520 $a In this dissertation, I present several power-aware design techniques for three major components contributing to the total power consumption of modern computing systems: microprocessors, storage systems, I/Os and buses. First, a micro-architectural level leakage model is presented. It is based on transistor-level simulations and the effects of temperature, supply voltage, threshold voltage and parameter variations are included which allow designers to explore various leakage control techniques in caches. Second, to achieve energy optimization of microprocessors in real time systems, a procrastinating voltage scheduling algorithm is presented. It utilizes the statistic information of workloads and minimizes the energy for frame-based real time applications. Third, to achieve energy and performance optimization in storage systems, a comprehensive power and performance model based on physical nature of hard disk systems is developed. Based on this model, a sensitivity-based optimization method is presented for disk architectures. Fourth, to reduce power consumption on buses, a bus encoding technique is presented to reduce couple power consumption between adjacent wires. Finally, since circuits can experience a wide temperature range, an adaptive technique is to mitigate the impacts of temperature variations which can be applied in parallel with other power-aware techniques.
590 $a School code: 0246.
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
710 2 $a University of Virginia. $3 645578
773 0 $t Dissertation Abstracts International $g 68-01B.
790 $a 0246
790 1 0 $a Stan, Mircea R., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3248093