Programming Rules of Thumb
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Home > Art, Film & Photography > Programming Rules of Thumb: Amdahl's Law, Ninety-Ninety Rule, Greenspun's Tenth Rule, Rule of Three, Zero One Infinity, Gall's Law
Programming Rules of Thumb: Amdahl's Law, Ninety-Ninety Rule, Greenspun's Tenth Rule, Rule of Three, Zero One Infinity, Gall's Law

Programming Rules of Thumb: Amdahl's Law, Ninety-Ninety Rule, Greenspun's Tenth Rule, Rule of Three, Zero One Infinity, Gall's Law


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Purchase includes free access to book updates online and a free trial membership in the publisher's book club where you can select from more than a million books without charge. Not illustrated. Excerpt: Amdahl's law, also known as Amdahl's argument, is named after computer architect Gene Amdahl, and is used to find the maximum expected improvement to an overall system when only part of the system is improved. It is often used in parallel computing to predict the theoretical maximum speedup using multiple processors. The speedup of a program using multiple processors in parallel computing is limited by the time needed for the sequential fraction of the program. For example, if a program needs 20 hours using a single processor core, and a particular portion of 1 hour cannot be parallelized, while the remaining promising portion of 19 hours (95%) can be parallelized, then regardless of how many processors we devote to a parallelized execution of this program, the minimum execution time cannot be less than that critical 1 hour. Hence the speed up is limited up to 20, as the diagram illustrates. Amdahl's law is a model for the relationship between the expected speedup of parallelized implementations of an algorithm relative to the serial algorithm, under the assumption that the problem size remains the same when parallelized. For example, if for a given problem size a parallelized implementation of an algorithm can run 12% of the algorithm's operations arbitrarily quickly (while the remaining 88% of the operations are not parallelizable), Amdahl's law states that the maximum speedup of the parallelized version is times as fast as the non-parallelized implementation. More technically, the law is concerned with the speedup achievable from an improvement to a computation that affects a proportion P of that computation where the improvement has a speedup of S. (For example, if an improvement can speed up 30% of the computation, P will... More: http://booksllc.net/?id=2323


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Product Details
  • ISBN-13: 9781158249855
  • Publisher: Books LLC
  • Publisher Imprint: Books LLC
  • Height: 152 mm
  • No of Pages: 30
  • Spine Width: 2 mm
  • Weight: 59 gr
  • ISBN-10: 1158249853
  • Publisher Date: 19 Jun 2010
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Amdahl's Law, Ninety-Ninety Rule, Greenspun's Tenth Rule, Rule of Three, Zero One Infinity, Gall's Law
  • Width: 229 mm


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