product
1120672An Introduction to Parallel Programminghttps://www.gandhi.com.mx/an-introduction-to-parallel-programming-1/phttps://gandhi.vtexassets.com/arquivos/ids/967261/a3fa182c-ac98-4573-b8ad-6362ff043b40.jpg?v=638725414243470000754838MXNMorgan KaufmannInStock/Ebooks/<p>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. - Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples - Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs - Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models</p>...1112094An Introduction to Parallel Programming754838https://www.gandhi.com.mx/an-introduction-to-parallel-programming-1/phttps://gandhi.vtexassets.com/arquivos/ids/967261/a3fa182c-ac98-4573-b8ad-6362ff043b40.jpg?v=638725414243470000InStockMXN99999DIEbook20119780080921440_W3siaWQiOiJlMzQ1ZTdmYi1iMDU3LTRiODItYWJkNi1lMjE2YjRkMWI0OWIiLCJsaXN0UHJpY2UiOjgzOCwiZGlzY291bnQiOjg0LCJzZWxsaW5nUHJpY2UiOjc1NCwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjUtMDEtMDhUMTQ6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9780080921440_<p>Author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP. The first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture, <em>An Introduction to Parallel Programming</em> explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. User-friendly exercises teach studentshow to compile, run and modify example programs.</p><p>Key features:</p><p>Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples</p><p>Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs</p><p>Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models</p>(*_*)9780080921440_<p><em>An Introduction to Parallel Programming</em> 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.</p><ul><li>Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples</li><li>Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs</li><li>Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models</li></ul>...(*_*)9780080921440_<p>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. - Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples - Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs - Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models</p>...9780080921440_Elsevier Science(*_*)9780080921440_Morgan Kaufmannlibro_electonico_55702bfb-4b42-497c-9289-58efd205a15d_9780080921440;9780080921440_9780080921440Peter PachecoInglésMéxicoMorgan Kaufmannhttps://getbook.kobo.com/koboid-prod-public/elsevierrefmonographs-epub-3e82b195-e4ef-49e3-8860-41692906a8b4.epub2011-02-17T00:00:00+00:00