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Introduction to Parallel Computers: Architecture and Algorithms

  • D. R. Emerson
Part of the ERCOFTAC Series book series (ERCO, volume 3)

Abstract

The term “parallel processing” refers to performing computational tasks concurrently i e at the same time. Each individual task can be either identical, such as adding two elements of an array, or unique. It should be made clear at this stage that parallel processing is not a new concept. Indeed, it has been around in practice for several decades and its concept has been understood for over 150 years (Menabrea, 1842). However, it is only since 1985 that commercially available machines have been in use outside of purely academic or research establishments. Furthermore, it is now widely recognised that only parallel processing offers the potential of solving very large scale scientific problems, such as those encountered in Computational Fluid Dynamics (CFD), Computational ElectroMagnetics (CEM), Quantum Chemistry, Quantum ChromoDynamics (QCD), and many other computationally demanding fields, in an “acceptable” time and at a “reasonable” cost. Of course, what is acceptable or reasonable will very much depend upon each individual’s requirements.

Keywords

Clock Cycle Peak Performance Cache Line Floating Point Operation Loop Unroll 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1996

Authors and Affiliations

  • D. R. Emerson
    • 1
  1. 1.Computational Engineering GroupDaresbury LaboratoryCheshireUK

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