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Overview

  • How are reviewers describing this item?
    parallel, most, best and each.
  • Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
  • Our engine has determined that the review content quality is high and informative.
  • Our engine has discovered that over 90% high quality reviews are present.
  • This product had a total of 8 reviews as of our last analysis date on Jan 26 2020.

Helpful InsightsBETA

The AI used to provide these results are constantly improving. These results might change.

    Posted by a reviewer on Amazon

    The specific code examples are there if you need them c and c libraries


    Posted by a reviewer on Amazon

    It makes it really clear what is required of a modern programming language that might make optimal parallel code


    Posted by a reviewer on Amazon

    It may have vectorization capability


    Posted by a reviewer on Amazon

    If you dont enable parallel execution in algorithms that could expose parallelism thats just an example of bad programming on a processor that could be executing code in parallel


    Posted by a reviewer on Amazon

    The authors then introduce the map pattern which describes embarrassing parallelism parallel computation on a set of completely independent operations


    Posted by a reviewer on Amazon

    In addition the authors present data reorganization patterns and discuss important issues around data layout


    Posted by a reviewer on Amazon

    In addition the authors discuss the reflection seismology survey which consists of collecting data in the field and processing it to generate a subsurface image


    Posted by a reviewer on Amazon

    In addition the authors show you how the sample sort example demonstrates a partitioningbased sort that overcomes the scaling limitation of quicksort which arose because quicksorts partitioning operation is serial

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