Output details
11 - Computer Science and Informatics
University of Edinburgh
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Output 0 of 0 in the submission
Output title
A Predictive Model for Dynamic Microarchitectural Adaptivity Control
Type
E - Conference contribution
Name of conference/published proceedings
Proceedings of the 2010 43rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO '43)
Volume number
-
Issue number
-
First page of article
485
ISSN of proceedings
1072-4451
Year of publication
2010
Number of additional authors
3
Additional information
<08> Originality: This paper is the first to show how the internal microarchitecture can be adapted on the fly to meet any unseen application's requirement. It uses any offline learnt predictor; is remarkably accurate and delivers significant savings over non-adaptive schemes.
Significance: With the rise of dark silicon, the ability to adapt hardware energy and performance is critical. Micro is the premier conference in computer microarchitecture. The acceptance rate is 17%: this is one of very few papers from the UK. HiPEAC Paper Award recipient.
Rigour: This paper relied on a massive number of simulations. Cross-validation provided statistically significant results.
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Institute for Computing Systems Architecture
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
