Download An Introduction to Parallel Programming by Peter Pacheco PDF

By Peter Pacheco

Writer Peter Pacheco makes use of an academic method of express scholars easy methods to advance powerful 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 tips to layout, debug, and review the functionality of disbursed and shared-memory courses. effortless routines educate scholars the right way to collect, run and adjust instance programs.

Key features:

  • Takes an educational method, beginning with small programming examples and development gradually to tougher examples
  • Focuses on designing, debugging and comparing the functionality of dispensed and shared-memory programs
  • Explains the way to enhance parallel courses utilizing MPI, Pthreads, and OpenMP programming models
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    For instance, in genetic profiling, we may find that the presence of a certain gene correlates with a certain disease. Depending on the exact correlation (the percentage of cases in which it occurs) we may predict – in terms of probability – the chance that a person with the relevant gene will develop the relevant disease. In reality, of course, the correlations may be very complex, e. , depending on a whole set of different factors in a non-linear way. 10 This has led to relatively new developments in marketing, insurance and justice, based on the targeted assessment of consumer preferences (leading to spam), targeted risk-assessment (concerning financial credibility) and on criminal profiling (leading to actuarial justice).

    The challenge for identity management will therefore reside in a combination of a measure of identity control for the user while still providing enough identity data for the service provider to be able to reach and reidentify the user. The author describes how profiling on the basis of a time stamped location track - using data from GIS (geographical information systems) and POI (points of interest) - can amount to a detailed behavioural profile of a person. When combined with other data it will allow refined segmentation of relevant markets, providing ample opportunity for undesired discrimination.

    In the case of customer loyalty programmes the focus is on producing incentives for customer’s actions that are found to be profitable by the enterprise. In the case of credit scoring practices the objective is to discourage or exclude certain types of behaviour. The processing of data for customer loyalty programmes will thus be exploratory and could be rather invasive, while the processing of data for credit scoring practices will be directed to classification, less invasive but may tend to discrimination.

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