A performance and power co-optimization approach for modern processors

Zhu, Yongxin; Wong, Weng-Fai; Koh, Cheng-Kok

doi:10.1109/cit.2005.34

Search citation statements

Order By: Relevance

Paper Sections

Select...

Validation Of Models1

Related Work1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2006

Publication Types

Select...

Book1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…for a similar RISC processor design in the scale. More details of the validations are available in [17].…”

Section: Validation Of Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Co-optimization of Performance and Power in a Superscalar Processor Design

Zhu

Wong

Andrei

2006

Emerging Directions in Embedded and Ubiquitous Computing

View full text Add to dashboard Cite

Abstract. As process technology scales down, power wall starts to hinder improvements in processor performance. Performance optimization has to proceed under a power constraint. The co-optimization requires exploration into a huge design space containing both performance and power factors, whose size is over costly for extensive traditional simulations. This paper describes a unified model covering both performance and power. The model consists of workload parameters, architectural parameters plus corresponding power parameters with a good degree of accuracy compared with physical processors and simulators. We apply the model to the problem of co-optimizing the power and performance. Concrete insights into the tradeoffs of designs for performance and power are obtained in the process of co-optimization.

show abstract

“…for a similar RISC processor design in the scale. More details of the validations are available in [17].…”

Section: Validation Of Modelsmentioning

confidence: 99%

“…Another more recent work [17] focused on the co-optimization process without full details of proofs for the analytical model. In this paper, besides full details of the models, we provide for the first time, a generic solution to non-linear recurrences involved in the analytical model.…”

Section: Related Workmentioning

confidence: 99%