An Introduction to Parallel Programming - download pdf or read online

By Peter Pacheco

ISBN-10: 0080921442

ISBN-13: 9780080921440

Writer Peter Pacheco makes use of an educational method of convey scholars the way to enhance potent parallel courses with MPI, Pthreads, and OpenMP. the 1st undergraduate textual content to without delay deal with compiling and working parallel courses at the new multi-core and cluster structure, An advent to Parallel Programming explains how you can layout, debug, and assessment the functionality of disbursed and shared-memory courses. easy workouts educate scholars how you can assemble, run and regulate instance programs.

Key features:

  • Takes an instructional strategy, beginning with small programming examples and development gradually to more difficult examples
  • Focuses on designing, debugging and comparing the functionality of disbursed and shared-memory programs
  • Explains tips on how to strengthen parallel courses utilizing MPI, Pthreads, and OpenMP programming models
  • Show description

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    Additional info for An Introduction to Parallel Programming

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    15) gives the fraction of time that X Moreover, X(t) X(O) is greater is sampled from the steady-state , both these estimators are biased due to the initial conif s < t and s are highly correlated, does not change quickly. is close to t , then it is obvious Thus~ we must confront the same basic problems techniques that The bias of the "natural" estimators and the correlation of the observations of standard statistical that since the number of units in repair were present in the queueing and inventory simulations.

    This section is organized as follows. We first discuss regenerative processes with a discrete time parameter~ as in the queueing and inventory examples; and then regenerative processes with a continuous time parameter, as in the repairman model. After defining regenerative processes~ we then give a technique for obtaining confidence intervals for steady-state parameters of 30 such processes and apply this technique to sample simulations of the models of Section 2. We next discuss the "tactical questions" of run length and of regeneration points~ this latter question arising in the case where a simulation may have two or more choices of regeneration points.

    T if the repair facility be- For the simulation~ we put be the time of the {X(t)~ t ~ O} for We estimate • k = i, e, . . Also~ we let 7k (k + l)st We then let . X(O) = 0 3 entrance to 71 = R 2 - R 1 3 - • • 3 We refer to Tk as the dura- be the number of failures over the cycle. 3 gives simulation results for the repairman model based on a run of 500 observed cycles. are given for the parameters PCx= 0} , E[71) , Theoretical values and 95~ confidence intervals E[X] and E~Tl) 2 . 325] P[X > 5} o.

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