CTWatch
February 2007
The Promise and Perils of the Coming Multicore Revolution and Its Impact
Jack Dongarra, Oak Ridge National Laboratory; University of Tennessee
Dennis Gannon, Indiana University
Geoffrey Fox, Indiana University
Ken Kennedy, Rice University

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3. The Future

Advancing to the next stage of growth for computational simulation and modeling will require us to solve basic research problems in Computer Science and Applied Mathematics at the same time as we create and promulgate a new paradigm for the development of scientific software. To make progress on both fronts simultaneously will require a level of sustained, interdisciplinary collaboration among the core research communities that, in the past, has only been achieved by forming and supporting research centers dedicated to such a common purpose. We believe that the time has come for the leaders of the Computational Science movement to focus their energies on creating such software research centers to carry out this indispensable part of the mission.

References
1 Post, D. E., Votta, L. G. "Computational Science Demands a New Paradigm," Physics Today, vol. 58, no. 1, pp. 35-41, January, 2005.
2 Sutter, H. "The Free Lunch Is Over: A Fundamental Turn Toward Concurrency in Software," Dr. Dobb's Journal, 30(3), March 2005.
3 Herlihy, M., Luchangco, V., Moir, M., Scherer III, W. N. "Software Transactional Memory for Dynamic-Sized Data Structures," Proceedings of the Twenty-Second Annual ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC), 92–101. July 2003.
4 Dongarra, J. J., Luszczek, P., Petitet, A. "The LINPACK Benchmark: Past, Present, and Future," Concurrency and Computation: Practice and Experience vol. 15, no. 9, pp. 803-820, August, 2003. www.netlib.org/benchmark/hpl/
5 Kurzak, J., Dongarra, J. J. "Pipelined Shared Memory Implementation of Linear Algebra Routines with Lookahead - LU, Cholesky, QR." In Workshop on State-of-the-Art in Scientific and Parallel Computing, Umea, Sweden, June, 2006.

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Reference this article
Dongarra, J., Gannon, D., Fox, G., Kennedy, K. "The Impact of Multicore on Computational Science Software ," CTWatch Quarterly, Volume 3, Number 1, February 2007. http://www.ctwatch.org/quarterly/articles/2007/02/the-impact-of-multicore-on-computational-science-software/

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