An Introduction to Parallel Programming by Peter Pacheco PDF

By Peter Pacheco

ISBN-10: 0080921442

ISBN-13: 9780080921440

Writer Peter Pacheco makes use of an instructional method of exhibit scholars the best way to increase potent parallel courses with MPI, Pthreads, and OpenMP. the 1st undergraduate textual content to at once handle compiling and working parallel courses at the new multi-core and cluster structure, An creation to Parallel Programming explains tips to layout, debug, and evaluation the functionality of disbursed and shared-memory courses. elementary workouts educate scholars the best way to collect, run and alter instance programs.

Key features:

  • Takes an academic process, beginning with small programming examples and construction steadily to tougher examples
  • Focuses on designing, debugging and comparing the functionality of dispensed and shared-memory programs
  • Explains how one can improve parallel courses utilizing MPI, Pthreads, and OpenMP programming models
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    These cloud providers provision and manage the physical processing, storage, networking, and hosting environment. This is the data center or, in some cases, the data centers. Pricing is often based on resources used. n Platform as a Service (PaaS): This provides a complete computing platform. These cloud providers provision and manage cloud infrastructure as well as provide development, deployment, and administration tools. Here you will find the features that make a platform: operating systems, web servers, programming language, database management systems, and so on.

    You can, however, use Web services without cloud computing. 14, you can have an SOA without Web services as well as with Web services. 3 Relationship of Web services, SOA, and cloud computing. 40 Cloud Computing use cloud computing without having an SOA. This book emphasizes SOA with cloud computing and using Web services for connections—this is the shaded area of the Venn diagram (SOA with cloud computing). 2 illustrated the basics of a service-oriented architecture. That same architecture can be used with cloud computing.

    13 also shows that XML and JSON can use the same vocabulary for the names of the data elements. This opportunity for standardizing on the names and the meaning of the names will be discussed later in this chapter. When to Use SOAP, REST, JSON, or Other Options By now, you might be wondering which option is “best” for Web services. If you are using external services, the service providers have chosen the Web service(s) they support. You will need to use whatever they have chosen. In all likelihood, your organization will use “all of the above”: SOAP, REST, JSON, and whatever new Web service that is developed.

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    An Introduction to Parallel Programming by Peter Pacheco


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