Dynamically tuning processor resources with adaptive processing

Author

Albonesi, David H. ; Balasubramonian, Rajeev ; Dropsbo, S.G. ; Dwarkadas, Sandhya ; Friedman, Eby G. ; Huang, Michael C. ; Kursun, Volkan ; Magklis, Grigorios ; Scott, Michael L. ; Semeraro, Greg ; Bose, Pradip ; Buyuktosunoglu, Alper ; Cook, Peter W. ; S

Volume

36

Issue

12

fYear

2003

Firstpage

49

Lastpage

58

Abstract

By using adaptive processing to dynamically tune major microprocessor resources, developers can achieve greater energy efficiency with reasonable hardware and software overhead while avoiding undue performance loss. Adaptive processors require few additional transistors. Further, because adaptation occurs only in response to infrequent trigger events, the decision logic can be placed into a low-leakage state until such events occur.

Keywords

adaptive systems; computer architecture; digital integrated circuits; integrated circuit design; microprocessor chips; software engineering; adaptive processing; adaptive processors; decision logic; energy efficiency; hardware overhead; infrequent trigger events; low-leakage state; microprocessor resources; performance loss; processor resource tuning; software overhead; Application software; Batteries; Energy efficiency; Hardware; Microprocessors; Parallel processing; Performance loss; Productivity; Software performance; Web search;

fLanguage

English

Journal_Title

Computer

Publisher

ieee

ISSN

0018-9162

Type

jour

DOI

10.1109/MC.2003.1250883

Filename

1250883