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7 - Asynchronism and Sensitivity

Published online by Cambridge University Press:  03 October 2009

Yuh-Dauh Lyuu
Affiliation:
NEC Research Institute, New Jersey
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Summary

The Lacedæmonians [advanced] slowly and to the music of

many flute-players […], meant to make them advance evenly,

stepping in time, without breaking their order, as large

armies are apt to do in the moment of engaging.

—Thucydides

The routing algorithms in Chapter 5 can be converted into efficient asynchronous algorithms by replacing the global clock with a synchronization scheme based on message passing. We also demonstrate that asynchronous fsra has low sensitivity to variations in link and processor speeds.

Introduction

The assumption of synchronism often greatly simplifies the design of algorithms, be they sequential or parallel. Many computation models — for example, RAM (“Random Access Machine”) [5] in the sequential setting and PRAM in the parallel setting — assume the existence of a global clock. But, this assumption will become less desirable as the number of processors increases. For one thing, a global clock introduces a single point of failure. A global clock also restrains each processor's degree of autonomy and renders the machine unable to exploit differences in running speed [42, 192], limiting the overall speed to, so to speak, that of the (“slowest” component instead of the “average” one, thus wasting cycles. Tight synchronization also limits the size of the parallel computer, since it takes time to distribute the clock-signal to the whole system [316].

Proceeding in epochs, our routing schemes in Chapter 5 assume synchronism. In fact, the very definition of ECS assumes a global clock to synchronize epochs. We show in this chapter that with synchronization done via message passing, ECSs can be made asynchronous without loss of efficiency and without global control. Much work has been done in this area; see, for example, [31, 32, 33].

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Publisher: Cambridge University Press
Print publication year: 1993

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  • Asynchronism and Sensitivity
  • Yuh-Dauh Lyuu, NEC Research Institute, New Jersey
  • Book: Information Dispersal and Parallel Computation
  • Online publication: 03 October 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511574955.009
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  • Asynchronism and Sensitivity
  • Yuh-Dauh Lyuu, NEC Research Institute, New Jersey
  • Book: Information Dispersal and Parallel Computation
  • Online publication: 03 October 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511574955.009
Available formats
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  • Asynchronism and Sensitivity
  • Yuh-Dauh Lyuu, NEC Research Institute, New Jersey
  • Book: Information Dispersal and Parallel Computation
  • Online publication: 03 October 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511574955.009
Available formats
×