High Performance Scientific Computation with Applications
June 28 - July 1, 1999, Las Vegas, Nevada, USA
This is a technical session organized by Jun Zhang at
The 1999 International Conference on Parallel and
Distributed Processing Techniques and Applications,
to be held in Las Vegas, Nevada, June 28 - July 1, 1999.
Today's scientific and engineering problems demand computational
power that is far beyond that can be provided by conventional
computers. Large scale numerical simulations require high
performance computation. Here the high performance computation
is meant in its broadest sense, i.e., any computation that
utilizes special architectures and power of the high
performance computers is considered as high performance
Scientific computations has been one of the most important components
of high performance computation. It is the initial and continuous
driving force behind the development of high performance
The goal of this session is to bring together researchers in
various areas of high performance scientific computation and
applications to exchange ideas and communicate new
The HPSCA session focuses on high performance
and large scale
numerical computation techniques and applications.
Anything that is related to this topic is relevant.
Please e-mail Jun Zhang at email@example.com if you
are interested in presenting a paper at the High
Performance Scientific Computation with Applications
- April 2, 1999: Final day for the organizers to
submit the speaker list
- April 15, 1999: 7 page paper due
- May 1, 1999: Camera-ready papers (7 pages) and preregistration
- June 28 - July 1, 1999: PDPTA'99 Conference.
Please note that the draft and the final papers should be e-mailed
to the session organizer: Jun Zhang at firstname.lastname@example.org. In case
an e-mail submission is inconvenient, please fax your paper at:
(606) 323-1971, or mail a hard copy to:
Professor Jun Zhang
Department of Computer Science
University of Kentucky
773 Anderson Hall
Lexington, KY 40506-0046
Due to time constraints, the session organizer did not apply for financial
support from any agency. As a result, the HPSCA session is unable to
provide any travel support to any speakers. I am very sorry for this
situation and I promise to do a better job next year.
Tentative Speaker List (In the Order of Submission)
(The limit on the number of speakers is 24)
Jun Zhang, Department of Computer Science, University
A Sparse Approximate Inverse Technique for Parallel
Preconditioning of Sparse Matrices.
Jules Kouatchou, School of Engineering, Morgan
State University, and NASA.
Scaling Performance of MM5 on the Cray T3E and a
Richard G Lyon, and
Timothy P. Murphy,
Center of Excellence in Space Data and
Information Sciences, and NASA/GSFC.
Parallel Optical System Design Module.
Bronis de Supinski, Lawrence Livermore National Laboratory.
Experiences with Mixed MPI and Threaded Programming Models.
John Kesheng Wu and Horst Simon,
Lawrence Berkeley National Laboratory/NERSC.
Parallel Efficiency of the Lanczos Method for
James R. McCombs,
Department of Computer Science, College of William and Mary.
A Parallel, Block, Jacobi-Davidson Implementation for Solving Large
Eigenproblems on Coarse Grain Environments.
Thomas Hauser, G. Xiong and George Huang,
Department of Mechanical Engineering, University of Kentucky.
A hierarchical parallelization concept for a high-performance
Purushotham Bangalore, Jianping Zhu, D. Huddleston, and A. Skjellum,
Engineering Research Center for Computational Field Simulation, Mississippi
Development of A Scalable and Coupled Hydraulics and Sediment Model.
This page was created by Jun Zhang on Sunday,
December 12, 1998. Last modified on February 19, 1999.