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Architecting emerging memory technol...

Jianxing, Wang.

Architecting emerging memory technologies for energy-efficient computing in modern processors.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Architecting emerging memory technologies for energy-efficient computing in modern processors./
作者:	Jianxing, Wang.
面頁冊數:	1 online resource (161 pages)
附註:	Source: Dissertation Abstracts International, Volume: 77-06(E), Section: B.
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9781339439587

Architecting emerging memory technologies for energy-efficient computing in modern processors.
Jianxing, Wang.

Architecting emerging memory technologies for energy-efficient computing in modern processors. - 1 online resource (161 pages)

Source: Dissertation Abstracts International, Volume: 77-06(E), Section: B.

Thesis (Ph.D.)--National University of Singapore (Singapore), 2015.

Includes bibliographical references

The concern about energy consumption in current technology node is becoming more serious. As we are already in deep sub-micron era, the relentless process scaling makes existing energy reduction techniques less efficient. It is predicted that we might soon face the situation where most of the silicon area is forced to be dark and can not be powered on simultaneously.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781339439587Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Architecting emerging memory technologies for energy-efficient computing in modern processors.
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100 1 $a Jianxing, Wang. $3 1188544
245 1 0 $a Architecting emerging memory technologies for energy-efficient computing in modern processors.
264 0 $c 2015
300 $a 1 online resource (161 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 77-06(E), Section: B.
502 $a Thesis (Ph.D.)--National University of Singapore (Singapore), 2015.
504 $a Includes bibliographical references
520 $a The concern about energy consumption in current technology node is becoming more serious. As we are already in deep sub-micron era, the relentless process scaling makes existing energy reduction techniques less efficient. It is predicted that we might soon face the situation where most of the silicon area is forced to be dark and can not be powered on simultaneously.
520 $a As alternative solutions, a number of emerging memory technologies are being actively studied. They allow us to design more energy efficient architectures and potentially solve the dark silicon problem from the ground. However, they also incur certain weaknesses such as high write energy and limited endurance. Previous studies showed that an effective way to mitigate these negative impacts is by optimizing the memory architecture.
520 $a Therefore, this thesis will focus on architecture designs for deploying emerging memories at various levels in the memory hierarchy. (Abstract shortened by UMI.).
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a National University of Singapore (Singapore). $b Computer Science. $3 1188545
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10006096 $z click for full text (PQDT)

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