Patterns for Parallel Programming

Voorkant
Pearson Education, 15 sep 2004 - 384 pagina's

The Parallel Programming Guide for Every Software Developer

From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills to meet the soaring demand for parallel software.

That's where Patterns for Parallel Programming comes in. It's the first parallel programming guide written specifically to serve working software developers, not just computer scientists. The authors introduce a complete, highly accessible pattern language that will help any experienced developer "think parallel"-and start writing effective parallel code almost immediately. Instead of formal theory, they deliver proven solutions to the challenges faced by parallel programmers, and pragmatic guidance for using today's parallel APIs in the real world. Coverage includes:

  • Understanding the parallel computing landscape and the challenges faced by parallel developers
  • Finding the concurrency in a software design problem and decomposing it into concurrent tasks
  • Managing the use of data across tasks
  • Creating an algorithm structure that effectively exploits the concurrency you've identified
  • Connecting your algorithmic structures to the APIs needed to implement them
  • Specific software constructs for implementing parallel programs
  • Working with today's leading parallel programming environments: OpenMP, MPI, and Java

Patterns have helped thousands of programmers master object-oriented development and other complex programming technologies. With this book, you will learn that they're the best way to master parallel programming too.


 

Inhoudsopgave

Preface
A Pattern Language for Parallel Programming
Background and Jargon of Parallel Computing
and Latency Hiding
The Finding Concurrency Design Space
The Algorithm Structure Design Space
The Supporting Structures Design Space
The Implementation Mechanisms Design Space
Appendix A A Brief Introduction to OpenMP
Appendix B A Brief Introduction to
A Brief Introduction to Concurrent Programming
Keyword
Structures
Bibliography
About the Authors

Overige edities - Alles bekijken

Patterns for Parallel Programming
Timothy G. Mattson,Beverly A. Sanders,Berna Massingill
Fragmentweergave - 2005
Patterns for Parallel Programming
Timothy G. Mattson,Berna L. Massingill,Beverly A. Sanders,Berna Massingill
Geen voorbeeld beschikbaar - 2004

Veelvoorkomende woorden en zinsdelen

Algorithm Structure Amdahl's law application approach array atoms barrier buffer cache chunks communication construct create critical section data decomposition data structure decomposed define dependencies distributed distributed-memory efficient elements embarrassingly parallel example Figure Finding Concurrency forces Fork/Join Fortran function global Implementation Mechanisms design interface Java load balance lock loop iterations Mandelbrot set mapping matrix matrix multiplication Mechanisms design space memory mergesort message passing MIMD molecular dynamics MPI program MPI_COMM_WORLD multiple nodes number of threads number of UEs OpenMP operations ordering constraints overhead package parallel algorithm parallel computing parallel programming parallel region pattern language performance pipeline pragma pragma omp problem processors programming environments Pseudocode recursive reduction result runtime schedule shared data Shared Queue shared-memory shown in Fig SIMD simulation single solution SPMD pattern stage subproblems synchronized block Task Decomposition Task Parallelism Task Parallelism pattern task queue ukp1 update variable wait

Over de auteur (2004)

Timothy G. Mattson is Intel's industry manager for life sciences. His research focuses on technologies that simplify parallel computing for general programmers, with an emphasis on computational biology. He holds a Ph.D. in chemistry from the University of California, Santa Cruz.

Beverly A. Sanders is associate professor at the Department of Computer and Information Science and Engineering, University of Florida, Gainesville. Her research focuses on techniques to help programmers construct high-quality, correct programs, including formal methods, component systems, and design patterns. She holds a Ph.D. in applied mathematics from Harvard University.

Berna L. Massingill is assistant professor in the Department of Computer Science at Trinity University, San Antonio, Texas. Her research interests include parallel and distributed computing, design patterns, and formal methods. She holds a Ph.D. in computer science from the California Institute of Technology.


Bibliografische gegevens

TitelPatterns for Parallel Programming
Software Patterns Series
AuteursTimothy G. Mattson, Beverly Sanders, Berna Massingill
UitgeverPearson Education, 2004
ISBN0321630033, 9780321630032
Lengte384 pagina's
  
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