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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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