Achieving high performance in numerical computations on RISC workstations and parallel systems

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The nominal peak speeds of both serial and parallel computers is raising rapidly. At the same time however it is becoming increasingly difficult to get out a significant fraction of this high peak speed from modern computer architectures. In this tutorial the authors give the scientists and engineers involved in numerically demanding calculations and simulations the necessary basic knowledge to write reasonably efficient programs. The basic principles are rather simple and the possible rewards large. Writing a program by taking into account optimization techniques related to the computer architecture can significantly speedup your program, often by factors of 10--100. As ... continued below

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53 p.

Creation Information

Goedecker, S. & Hoisie, A. August 20, 1997.

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  • Goedecker, S. Max-Planck Inst. for Solid State Research, Stuttgart (Germany)
  • Hoisie, A. Los Alamos National Lab., NM (United States)

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Description

The nominal peak speeds of both serial and parallel computers is raising rapidly. At the same time however it is becoming increasingly difficult to get out a significant fraction of this high peak speed from modern computer architectures. In this tutorial the authors give the scientists and engineers involved in numerically demanding calculations and simulations the necessary basic knowledge to write reasonably efficient programs. The basic principles are rather simple and the possible rewards large. Writing a program by taking into account optimization techniques related to the computer architecture can significantly speedup your program, often by factors of 10--100. As such, optimizing a program can for instance be a much better solution than buying a faster computer. If a few basic optimization principles are applied during program development, the additional time needed for obtaining an efficient program is practically negligible. In-depth optimization is usually only needed for a few subroutines or kernels and the effort involved is therefore also acceptable.

Physical Description

53 p.

Notes

OSTI as DE98002672

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  • APS Division of Computational Physics and the forum on industrial and applied physics joint meeting, Santa Cruz, CA (United States), 25-28 Aug 1997

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  • Other: DE98002672
  • Report No.: LA-UR--97-4042
  • Report No.: CONF-970849--
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 292858
  • Archival Resource Key: ark:/67531/metadc678742

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Office of Scientific & Technical Information Technical Reports

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  • August 20, 1997

Added to The UNT Digital Library

  • July 25, 2015, 2:20 a.m.

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  • Feb. 29, 2016, 12:56 p.m.

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Goedecker, S. & Hoisie, A. Achieving high performance in numerical computations on RISC workstations and parallel systems, article, August 20, 1997; New Mexico. (digital.library.unt.edu/ark:/67531/metadc678742/: accessed January 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.