Abstract
In this treatise research issues related to high speed computing will be explored. Important elements of this topic include hardware, algorithms, software and their interrelationships. One quickly can observe that, as in the past, the nature of computing will change dramatically with technological developments. The continued growth in computer power/capacity, workstation capabilities, animation, and host of new technologies such as machine vision, natural language interfaces, can all have a great impact on research requirements and thrusts in scientific computing. To better appreciate what might be needed in future systems, one must explore those likely “drivers” of computation — important science that cannot be done or understood today because of limited computing technology. In this brief introduction, drivers of computation will be explored, and in subsequent sections, the research challenges they suggest will be elaborated.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abelson, H., M. Eisenberg, M. Halfont, J. Katzenelson, E. Sacks, G. J. Sussman, J. Wisdom and K. Yip, Intelligence in Scientific Computing, CACM. vol. 32, no. 5, 1989.
Adeli, H. and K. V. Balasubramanyan, A Novel Approach to Expert Systems for Design for Large Structures, AI Magazine, vol. 9, no. 4, winter 1988.
Bell, J. L, and G. S. Patterson, Jr., Data Organization in Large Numerical Computation, The Journal of Supercomputing. vol. 1, no. 1, 1987.
Berry, M. et al., The Perfect Club Benchmarks: Effective Performance Evaluation of Supercomputers, CSRD Rep. No. 827, Univ. of Illinois at Urbana-Champaign, Nov. 1988.
Bieterman, M. “Impact of Multitasking on Job Stream Throughput,” Proceedings of the Cray User Group. October, 1987, Bologna.
Boghosian, B. and C. D. Levermore, A Cellular Automation for Burgers’ Equation, CA87-1. Thinking Machines Corporation, 1987.
Buell, D. A. et al., Parallel Algorithms and Architectures, The Journal of Supercomputing. vol. 1, no. 3, April 1988.
Cocke, J., “The Search for Performance in Scientific Processors: Turning Award Lecture”, CACM. vol. 31, no. 3, March 1988.
Dembart, B. and K. Neves, “Sparse Triangular Factorization on Vector Computers,” Exploring Applications of Parallel Processing to Power Systems Problems. EPRI EL- 566-QR, October 1977.
Duff, I. S., The Influence of Vector and Parallel Processors on Numerical Analysis, AERE R12329, Harwell Lab., September 1986.
Dongarra, J. and D. Sorenson, SCHEDULE: Tools for Developing and Analyzing Parallel Fortran Programs. TM-86, Argonne National Laboratory, Math and Computer Science Division.
Dongarra, J. Performance of Various Computers Using Standard Linear Equations Software in a Fortran Environment. TM-23, Argonne National Laboratory, April 18, 1988a.
Dongarra, J., J. Du Croz, I. Duff and S. Hammarling, A Set Of Level 3 Basic Linear Algebra Subprograms. TM-88 (Rev.1), Argonne National Laboratory, Math and Computer Science Division, May 1988b.
Erman, L. D., J. S. Lark and F. Hayes-Roth, ABE: An Environment for Engineering Intelligent Systems, IEEE Transactions on Software Engineering, vol. 14, no. 12, 1988.
Flynn, M. “Some Computer Organizations and their Effectiveness,” IEEE Transactions on Computation. Vol. C-21,1972.
Gentzsch, W. and K. Neves, Computational Fluid Dynamics: Algorithms and Supercomputers. NATO AGARDograph No. 311, March 1988.
Gustafson, J. L., Reevaluating Amdahl’s Law, CACM. vol, 31, no. 5, 1988.
Hillis, W. D. and G. L. Steele, Jr., Data Parallel Algorithms, CACM. vol. 29, no. 12, 1986.
Hockney, R. W., (r∞, n1/2, s1/2), Measurement on the 2-CPU Cray X-MP, Parallel Computing, vol. 2, no. 1, 1985.
Jamieson, L. H., Characterizing Parallel Algorithms, in The Characteristics of Parallel Algorithms, edited by L. H. Jamieson, D. B. Gannon, and R. J. Douglass, MIT Press, 1987.
Kowalik, J. S., Parallel Processing of Programs Coupling Symbolic and Numerical Computation, International Conference on Parallel Computing, Methods. Algorithms and Applications. Sept., 28–30,1988, Verona, Italy.
Kowalik, J. S. and C. T. Kitzmiller, (editors), Coupling Symbolic and Numerical Computing in Expert Systems. North-Holland, Amsterdam, 1988.
Levitan, S. P., Measuring Communications Structures in Parallel Architectures and Algorithms, in The Characteristics of Parallel Algorithms, edited by L. H. Jamieson, D. B. Gannon and R. J. Douglass, MIT Press, 1987.
McBryan, O. A., New Architectures: Performance Highlights and New Algorithms. Parallel Computing, 7, 1988.
McCormick, B. H., T. A. DeFanti and M. D. Brown (editors), Visualization in Scientific Computing, Computer Graphics, vol. 21, no. 6, Nov. 1987.
Martin, J. L. and D. Mueller-Wichard, Supercomputer Performance Evaluation: Status and Directions, The Journal of Supercomputing. vol. 1, no. 1, 1987.
Perdue, J. N., Supercomputers Need Super Networks, Proceedings from the Third International Conference on Supercomputing. Boston, 1988.
Samukawa “Programming Style on the IBM 3090/VF,” IBM Systems Journal. Vol. 27, No. 4., 1988, pp 453–474.
Taijan, R. E., Algorithm Design, CACM. vol. 30, no. 3, March 1987.
Waltz, D. L., Applications of the Connection Machine, IEEE Computer. January 1987.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1990 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Neves, K.W., Kowalik, J.S. (1990). Supercomputing: Key Issues and Challenges. In: Kowalik, J.S. (eds) Supercomputing. NATO ASI Series, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75771-6_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-75771-6_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-75773-0
Online ISBN: 978-3-642-75771-6
eBook Packages: Springer Book Archive