Education and research challenges in parallel computing

Authors:
L. Ridgway Scott;Terry Clark;Babak Bagheri
Affiliations:
The Institute for Biophysical Dynamics, the Computation Institute, and the Departments of Computer Science and Mathematics, The University of Chicago, Chicago, IL;Department of Electrical Engineering and Computer Science, and Information & Telecommunication Technology Center, The University of Kansas, Lawrence, KS;PROS Revenue Management, Houston, TX
Venue:
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Year:
2005

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Abstract

Over three decades of parallel computing, new computational requirements and systems have steadily evolved, yet parallel software remains notably more difficult relative to its sequential counterpart, especially for fine-grained parallel applications. We discuss the role of education to address challenges posed by applications such as informatics, scientific modeling, enterprise processing, and numerical computation. We outline new curricula both in computational science and in computer science. There appear to be new directions in which graduate education in parallel computing could be directed toward fulfilling needs in science and industry.