Difference between revisions of "SMART 2008"
Jump to navigation
Jump to search
(modified through wikirestore by Th) |
(modified through wikirestore by orapi) |
||
(4 intermediate revisions by 2 users not shown) | |||
Line 1: | Line 1: | ||
{{Event | {{Event | ||
− | |||
− | |||
− | |||
− | |||
| Field = Machine learning | | Field = Machine learning | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
| Abstract deadline = | | Abstract deadline = | ||
| Submission deadline = Nov 2, 2007 | | Submission deadline = Nov 2, 2007 | ||
| Notification = Nov 30, 2007 | | Notification = Nov 30, 2007 | ||
− | | Camera ready = | + | | Camera ready = |
− | |wikicfpId=1142}} | + | | Acronym= SMART 2008 |
+ | | End date= 2008-01-27 | ||
+ | | Series= | ||
+ | | Type = Workshop | ||
+ | | Country= SE | ||
+ | | State = | ||
+ | | City = Goteborg | ||
+ | | Year = 2008 | ||
+ | | Homepage= www.hipeac.net/smart-workshop.html | ||
+ | | Start date= 2008-01-27 | ||
+ | | Title = 2nd Workshop on statistical and machine learning approaches to Architectures and compilation | ||
+ | | wikicfpId= 1142 | ||
+ | }} | ||
<pre> | <pre> |
Latest revision as of 02:59, 6 December 2021
Event Rating
median | worst |
---|---|
List of all ratings can be found at SMART 2008/rating
SMART 2008 | |
---|---|
2nd Workshop on statistical and machine learning approaches to Architectures and compilation
| |
Dates | 2008-01-27 (iCal) - 2008-01-27 |
Homepage: | www.hipeac.net/smart-workshop.html |
Location | |
Location: | Goteborg, SE |
Important dates | |
Submissions: | Nov 2, 2007 |
Notification: | Nov 30, 2007 |
Table of Contents | |
The rapid rate of architectural change has placed enormous pressure on compiler writers to keep pace with microprocessor evolution. This problem is compounded by the current trend to have multi-cores and multi-threading which makes such systems increasingly difficult to target. Also, current methods of designing computer systems will no longer be feasible in 10-15 years time; what is needed are new innovative approaches to architecture design that scale both with advances in underlying technology and with future application domains. In recent years, several papers have been published showing great potential in constructing compilers and architectures using approaches such as machine learning and search. The purpose of this workshop is to promote new ideas and to present recent developments in compiler and architecture design using machine learning, statistical approaches, and search in order to enhance their performance, scalability, and adaptability. Topics of interest include (but are not limited to): Machine Learning, Statistical Approaches, or Search applied to * Feedback-Directed Compilation * Auto-tuning Programs + Language Extensions * Library Generators * Iterative Compilation * Dynamic Compilation/Adaptive Execution * Parallel Compiler Optimizations * Low-power Optimizations * Simulation * Performance Models * Adaptive Processor and System Architecture * Design Space Exploration * Other Topics relevant to Intelligent and Adaptive Compilers/Architectures Paper Submission Guidelines: Paper length - maximum 15 pages. Papers must be submitted in the PDF (preferably) or postscript formats. Email your submissions to mob@inf.ed.ac.uk or use the workshop submission website. Proceedings: An informal collection of the papers to be presented will be distributed at the workshop. Questions regarding the workshop proceedings should be forwarded to mob@inf.ed.ac.uk . All accepted papers will appear on the workshop website. Important Dates: Deadline for submission: November 2, 2007 Decision notification: November 30, 2007 Workshop: January 27, 2008 Organizer: Michael O'Boyle, University of Edinburgh, UK Program Committee: Francois Bodin, IRISA, France Calin Cascaval, IBM T.J. Watson Research Center, USA John Cavazos, University of Delaware, USA Lieven Eeckhout, Ghent University, Belgium Ari Freund, IBM Haifa Research Lab, Israel Grigori Fursin, INRIA Futurs, France Michael O'Boyle, University of Edinburgh, UK David Padua, University of Illinois at Urbana-Champaign, USA Devika Subramanian, Rice University, USA Olivier Temam, INRIA Futurs, France Matthew J. Thazhuthaveetil, Indian Institute of Science, India Richard Vuduc, Lawrence Livermore National Laboratory, USA David Whalley, Florida State University, USA Chris Williams, University of Edinburgh, UK
This CfP was obtained from WikiCFP