The era of practical parallel programming has arrived, marked by the popularity of the MPI and OpenMP software standards and the emergence of commodity clusters as the hardware platform of choice for an increasing number of organizations. This exciting new book,Parallel Programming in C with MPI and OpenMPaddresses the needs of students and professionals who want to learn how to design, analyze, implement, and benchmark parallel programs in C using MPI and/or OpenMP. It introduces a rock-solid design methodology with coverage of the most important MPI functions and OpenMP directives. It also demonstrates, through a wide range of examples, how to develop parallel programs that will execute efficiently on today’s parallel platforms. If you are an instructor who has adopted the book and would like access to the additional resources, please contact your local sales rep. or Michelle Flomenhoft at: [email protected].
Rohit Chandra, Leo Dagum, David Kohr, Ramesh Menon, Dror Maydan, Jeff McDonald ... Mandelbrot generator: serial version. real*8 x, y integer i, j, m, n, maxiter integer depth(*, *) integer mandel_val ... maxiter = 200 do i = 1, m = 1, ...
Parallel Programming in C with MPI and OpenMP
This is a textbook about parallel programming of scientific application on large computers, using MPI and OpenMP.
Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models A robust package of ...
Mathematics of Computing -- Parallelism.
[ 5 ] Satish Balay , William Gropp , Lois Curfman McInnes , and Barry Smith . PETSc 2.0 Users Manual . Mathematics and Computer Science Division , Argonne National Laboratory , 1997 . ANL - 95 / 11 .
This book should provide an excellent introduction to beginners, and the performance section should help those with some experience who want to push OpenMP to its limits." —from the foreword by David J. Kuck, Intel Fellow, Software and ...
In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures.
2. Use a quadrature formula especially developed for the infinite interval. LAGUERRE INTEGRATION. Following the second approach here we introduce a weight function w(x) = e~", x e [0, oo], where we employ the Laguerre polynomial Ln(x) ...
This book guides readers through the most essential elements of OpenMP—the twenty-one components that most OpenMP programmers use most of the time, known collectively as the “OpenMP Common Core.” Once they have mastered these ...