Multiprocessor speed-up, Amdahl"s Law, and the activity set model of parallel program behavior
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Multiprocessor speed-up, Amdahl"s Law, and the activity set model of parallel program behavior

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Published by Research Institute for Advanced Computer Science, NASA Ames Research Center in [Moffett Field, Calif.?] .
Written in English

Subjects:

  • Multiprocessors.

Book details:

Edition Notes

Other titlesMultiprocessor speed up, Amdahl"s Law, and the activity set model of parallel program behavior.
StatementErol Gelenbe.
SeriesRIACS technical report -- 88.37., NASA CR -- 185422., RIACS technical report -- TR 88-37., NASA contractor report -- NASA CR-185422.
ContributionsResearch Institute for Advanced Computer Science (U.S.)
The Physical Object
FormatMicroform
Pagination1 v.
ID Numbers
Open LibraryOL15274071M

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Parallel Programming: Speedups and Amdahl’s law Mike Bailey [email protected] This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives International License mjb – Ma 2 Computer Graphics Definition of Speedup 1 n n T Speedup T If you are using n processors, your. Parallel Programming: Speedups and Amdahl’s law Mike Bailey [email protected] This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives International License mjb – Ma 2 Computer Graphics Definition of Speedup 1 n n T Speedup T If you are using n processors, your File Size: KB. Solution Amdahl’s law assumes that a program consists of a serial part and a parallelizable part. The fraction of the program which is serial can be denoted as B | so the parallel fraction becomes 1 B. If there is no additional overhead due to parallelization, the speedup can therefore be expressed as S(n) = 1 B +1 n. View Notes - 2pp from CS at Oregon State University. 3/12/ Parallel Programming: Speedups and Amdahls.

• The aspects you ignore also limit speedup: with As S approaches infinity, speedup putationsis bound by 1/(1 – f). Four decades ago, Gene Amdahl defined his law for the special case of using n processors (cores) in parallel should when he argued for the single-processor approach’s validity for achieving large-scale computing capa-.   Choosing the right CPU for your system can be a daunting - yet incredibly important - task. The shear number of different models available makes it difficult to determine which CPU will give you the best possible performance while staying within your budget. In this article we will be looking at a way to estimate CPU performance based on a mathematical equation called Amdahl's Law. were used to gain the speedup and the other half were idle. Amdahl’s law states that the maximum speedup possible in parallelizing an algorithm is limited by the sequential portion of the code. Given an algorithm which is P% parallel, Amdahl’s law states that: MaximumSpeedup=1/(1- (P/)). For example if 80% of a program is parallel, then. Grids Arrays etc. 91 Speedup in Simplest Terms Speed Up= Sequential Access Time/ Parallel Access Time Quinns notation for speedup is +(n,p) for data size n and p processors. 92 Linear Speedup Usually Optimal Speedup is linear if S(n) = O(n) Theorem: The maximum possible speedup for parallel computers with n PEs for traditional problems is n.

Amdahls Law • All parallel programs contain: –parallel sections (we hope!) –serial sections (we despair!) • Serial sections limit the parallel effectiveness • Amdahls Law states this formally –Effect of multiple processors on speed up where •f s = serial fraction of code •f p = parallel . Get this from a library! Multiprocessor speed-up, Amdahl's Law, and the activity set model of parallel program behavior. [Erol Gelenbe; Research Institute for Advanced Computer Science (U.S.)]. Gustafson’s Law (Cont) • Execution time of program on a parallel computer is (a+b) • a is the sequential time and b is the parallel time • Total amount of work to be done in parallel varies linearly with the number of processors. So b is fixed as p is varied. The total run time is (a + p*b). and multi-processor systems in the s of the last century. some other work use Amdahl's Law to model the performance speedup from This work proposes a new parallel speedup model that.