An Introduction to Parallel Programming

Peter Pacheco

feb. 2011 · Elsevier

Om denne e-bog

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

Bedømmelser og anmeldelser

Hvis man ønsker at downloade bogen til brug på pc'en skal man bruge Adobe Digital Editions som er noget af det dårligste software jeg har set længe, det hakker og er langsomt. Derudover virker det som om bogen blot er scannet så hver side er billeder i stedet for at være tekst man kan arbejde med hvis man skal lave en rapport hvor man ønsker at citere eller lign. Til sidst har den digitale version ingen interaktive links/en digital indholdsfortegnelse som gør det nemt at navigere bogen. Det faglige Indhold har jeg ikke set så meget endnu men det virker godt nok, men nøj en øv oplevelse inden man går i gang.

Om forfatteren

Peter Pacheco received a PhD in mathematics from Florida State University. After completing graduate school, he became one of the first professors in UCLA's "Program in Computing, which teaches basic computer science to students at the College of Letters and Sciences there. Since leaving UCLA, he has been on the faculty of the University of San Francisco. At USF Peter has served as chair of the computer science department and is currently chair of the mathematics department.His research is in parallel scientific computing. He has worked on the development of parallel software for circuit simulation, speech recognition, and the simulation of large networks of biologically accurate neurons. Peter has been teaching parallel computing at both the undergraduate and graduate levels for nearly twenty years. He is the author of Parallel Programming with MPI, published by Morgan Kaufmann Publishers.