posted by user: gfursin || 6476 views || tracked by 16 users: [display]

SMART 2011 : 5th Workshop on Statistical and Machine learning approaches to ARchitecture and compilaTion

FacebookTwitterLinkedInGoogle

Link: http://cTuning.org/workshop-smart2011
 
When Apr 2, 2011 - Apr 2, 2011
Where Chamonix, France
Submission Deadline Feb 17, 2011
Notification Due Mar 7, 2011
Final Version Due Mar 25, 2011
Categories    machine learning   computer architecture   compilers   programming languages
 

Call For Papers

********************************************************************************
CALL FOR PAPERS

5th Workshop on
Statistical and Machine learning approaches
to ARchitecture and compilaTion
(SMART 2011)

http://cTuning.org/workshop-smart2011

April 2, 2011, Chamonix, France

(co-located with CGO 2011 Conference)
********************************************************************************

The rapid rate of architectural change and the large diversity of architecture
features has made it increasingly difficult for compiler writers to keep pace
with microprocessor evolution. This problem has been compounded by the
introduction of multicores. Thus, compiler writers have an intractably complex
problem to solve. A similar situation arises in processor design where new
approaches are needed to help computer architects make the best use of new
underlying technologies and to design systems well adapted to future application
domains.

Recent studies have shown the great potential of statistical machine learning
and search strategies for compilation and machine design. The purpose of this
workshop is to help consolidate and advance the state of the art in this
emerging area of research. The workshop is a forum for the presentation of
recent developments in compiler techniques and machine design methodologies
based on space exploration and statistical machine learning approaches with the
objective of improving performance, parallelism, scalability, and adaptability.

Topics of interest include (but are not limited to):

Machine Learning, Statistical Approaches, or Search applied to

* Empirical Automatic Performance Tuning
* Iterative Feedback-Directed Compilation
* Self-tuning Programs, Libraries and Language Extensions
* Dynamic Optimization/Split Compilation/Adaptive Execution
* Speculative and Adaptive Parallelization
* Low-power Optimizations
* Adaptive Virtualization
* Performance Modeling and Portability
* Adaptive Processor and System Architecture
* Architecture Simulation and Design Space Exploration
* Collective Optimization
* Self-tuning Computing Systems
* Other Topics relevant to Intelligent and Adaptive Compilers/Architectures/OS

**** Important Dates ****

* FINAL Deadline for paper submission: February 17, 2011
* Decision notification: March 7, 2011
* Deadline for camera-ready papers: March 25, 2011
* Workshop: April 2, 2011 (morning, half-day)

**** Paper Submission Guidelines ****

Submitted papers should be original and not published or submitted for
publication elsewhere. Papers should use the LNCS format and should be 15
pages maximum. Manuscript preparation guidelines can be found at the LNCS
website (http://www.springer.com/computer/lncs, go to "For Authors" and then
"Information for LNCS Authors"). Papers must be submitted in the PDF using
the workshop submission website:
http://www.easychair.org/conferences/?conf=smart2011

In addition to normal technical papers, please consider submitting "position
paper" (2 to 15 pages). For example, a position paper could include your
thoughts on compiler evolution, future infrastructure technology needs, use of
adaptive techniques for the Cloud, etc.

An informal collection of the papers to be presented will be distributed at the
workshop. All accepted papers will appear on the workshop website.

Program Chair:
Francois Bodin, CAPS Entreprise, France

Organizers:
Grigori Fursin, Exascale Computing Research Center, France
John Cavazos, University of Delaware, USA

Program Committee:
Denis Barthou, University of Versailles, France
Marcelo Cintra, University of Edinburgh, UK
Rudolf Eigenmann, Purdue University, USA
Robert Hundt, Google Inc, USA
Engin Ipek, Microsoft Research, USA
Allen D. Malony, University of Orgeon, USA
Bilha Mendelson, IBM Haifa, Israel
Michael O'Boyle, University of Edinburgh, UK
Markus Puschel, ETH Zurich, Switzerland
Lawrence Rauchwerger, Texas A&M University, USA
Xipeng Shen, College of William & Mary, USA
Christina Silvano, Politecnico di Milano, Italy
Bronis R. de Supinski, LLNL, USA
Chengyong Wu, ICT, China
Qing Yi, University of Texas at San Antonio, USA

Steering Committee:
Francois Bodin, CAPS Entreprise, France
John Cavazos, University of Delaware, USA
Lieven Eeckhout, Ghent University, Belgium
Grigori Fursin, Exascale Computing Research Center, France
Michael O'Boyle, University of Edinburgh, UK
David Padua, UIUC, USA
Olivier Temam, INRIA, France
Richard Vuduc, Georgia Tech, USA
David Whalley, Florida State University, USA

Related Resources

ICMLA 2024   23rd International Conference on Machine Learning and Applications
ECAI 2024   27th European Conference on Artificial Intelligence
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
CSCT 2024   Congress on Smart Computing Technologies
AIM@EPIA 2024   Artificial Intelligence in Medicine
DataMod 2024   12th International Symposium DataMod 2024: From Data to Models and Back
MLNLP 2024   2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP 2024)
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
ICDM 2024   IEEE International Conference on Data Mining
CCBDIOT 2024   2024 3rd International Conference on Computing, Big Data and Internet of Things (CCBDIOT 2024)