Output details
11 - Computer Science and Informatics
Queen's University Belfast
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Article title
Efficient Architectural Design Space Exploration via Predictive Modeling
Type
D - Journal article
Title of journal
ACM Transactions on Architecture and Code Optimization
Article number
-
Volume number
4
Issue number
4
First page of article
20:1
ISSN of journal
1544-3566
Year of publication
2008
Number of additional authors
5
Additional information
<02>This paper is the first journal publication, as far as we are aware, that details a methodology that makes sensitivity studies of hardware designs tractable. This paper and its conference predecessors spawned a now common research direction of using machine learning techniques to explore computer architecture performance. Work led to release of Fusion Predictive Modelling Tools (FPMT), which were the subject of tutorials presented at ASPLOS and ISCA.
Interdisciplinary
-
Cross-referral requested
-
Research group
A - High Performance and Distributed Computing (HPDC)
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
