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Subject: |
Terascale Performance Analysis Workshop - call for papers |
Author: |
Francesca Verdier <fverdier_at_lbl.gov> |
Date: |
2002-12-02 16:52:43 |
Greetings NERSC PIs and Account Managers,
You may be interested in the workshop mentioned below.
-- Francesca
========================================================================
Terascale Performance Analysis Workshop
June 2 - 4 , 2003
Melbourne - Australia
In conjunction with ICCS'2003 - International Conference on
Computational
Science
------------------------------------------------------------------------
Scope
Terascale systems, composed of hundreds or thousands of processors,
complex
interconnection networks, and large numbers of storage devices, pose
daunting problems for performance instrumentation, analysis, and
optimization. This workshop will explore approaches to application and
system measurement, performance diagnosis, and model construction. Those
approaches include tools or methodologies that advance the current state
of
the art on how to achieve significant performance levels for scientific
applications on current terascale and future petascale systems. Hardware
performance measurements, instrumented libraries, and schemes for
automatic
adaptation to changing system behavior will also be explored.
------------------------------------------------------------------------
Workshop Organizers
Dan Reed (National Center for Supercomputing Applications)
Celso Mendes (University of Illinois, Dep. Computer Science)
Radha Nandkumar (National Center for Supercomputing Applications)
Rob Pennington (National Center for Supercomputing Applications)
John Towns (National Center for Supercomputing Applications)
------------------------------------------------------------------------
Call for Papers
Topics of interest for this workshop include, but are not limited to,
the
following:
* Application performance measurement
* Case studies in scaling applications to 1000+ processors
* Measurement techniques applicable to large systems
* Performance diagnosis and code tuning
* Scalable performance models
* Techniques to achieve scaling in real applications
* Tools for efficient performance assessment
* Use of hardware performance counters
* Performance data reduction techniques
* Instrumented libraries and utilities
* Performance extrapolation and prediction
* Automatic performance adaptation
* Fault tolerance and checkpoint/restart strategies
Submissions are invited for work in these areas not published
previously.
Every submission will be peer-reviewed. Submissions should be in PDF or
Postscript formats, and should not exceed ten printed pages in length,
including all sections. All submissions should be sent by e-mail to
cmendes@cs.uiuc.edu in a note under the subject "iccs03-terascale"; in
this
note, please specify also the name/e-mail of the major contact author
and of
the presenting author.
Accepted submissions will be presented at the workshop and will be
published, with other ICCS'2003 papers, in a special edition of Springer
Verlag's Lecture Notes in Computer Science (LNCS). The final version of
accepted papers should conform to the LNCS guidelines.
------------------------------------------------------------------------
Important Dates
* Paper submission deadline: January 10, 2003 (No extensions)
* Author notification: January 31, 2003
* Final paper due: February 14, 2003
------------------------------------------------------------------------
Contact Information
Daniel A. Reed
E-mail: reed@ncsa.uiuc.edu
National Center for Supercomputing Applications
605 East Springfield Avenue
Champaign, IL 61820 - USA
Phone (217) 244-0078
Celso L. Mendes
E-mail: cmendes@cs.uiuc.edu
University of Illinois - Department of Computer Science
1304 West Springfield Avenue
Urbana, IL 61801 - USA
Phone (217) 244-9234
------------------------------------------------------------------------
Workshop URL: http://www-pablo.cs.uiuc.edu/Workshops/terascale.html
ICCS'2003 URL: http://www.science.uva.nl/events/ICCS2003
--
Francesca Verdier email: fverdier@lbl.gov
Group Lead, NERSC User Services phone: 510-486-7193
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