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Editorial Reviews. Book Description. This comprehensive introduction to parallel computing is . Amazon Web Services Scalable Cloud Computing Services · Audible Download Audiobooks · Book Depository Books With Free Delivery Worldwide · Box Office. THE CONTEXT OF PARALLEL PROCESSING The field of digital computer ebooks can be used on all reading devices; Immediate eBook download after a reasonably efficient and user-friendly programming model for such systems, has . The international Parallel Computing conference series (ParCo) reported on .. All major computer vendors are aggressively introducing a new generation of.

An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones. The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing. Students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing.

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An Introduction to Parallel Programming

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Cetin Kaya Koc. Raspberry Pi: Toggle navigation FreeTechBooks. Parallel Computing The simultaneous execution of the same task split up and specially adapted on multiple processors in order to obtain results faster.

All categories Follow Books under this sub-category 11 books. Designing and Building Parallel Programs Post date: Addison-Wesley Publication date: High Performance Computing Post date: Connexions Publication date: Creative Commons Attribution 3. Publication date: Finally, working through the same examples using all three facilities helps make this even more concrete.

Hu, ComputingReviews. Being easily digestible, it makes the difficult task of parallel programming come across a lot less daunting than I have seen in other texts. Admittedly, it is light on theory; however, the most memorable lessons in parallel programming are those learned from mistakes made. With over programming exercises, learning opportunities abound.

Parallelism has become central to the efficient use of resources, and this new textbook by Peter Pacheco will go a long way toward introducing students early in their academic careers to both the art and practice of parallel computing.

More importantly, it emphasizes good programming practices by indicating potential performance pitfalls. These topics are presented in the context of a variety of disciplines including computer science, physics and mathematics.

The chapters include numerous programming exercises that range from easy to very challenging.

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This is an ideal book for students or professionals looking to learn parallel programming skills or to refresh their knowledge. Students and practitioners alike will appreciate the relevant, up-to-date information. In a field that races forward at a dizzying pace, this book hangs on for the wild ride covering the ins and outs of parallel hardware and software. We are always looking for ways to improve customer experience on Elsevier. We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit.

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