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Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing.
Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures.
The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.
- Sales Rank: #3355926 in eBooks
- Published on: 2010-03-16
- Released on: 2010-03-16
- Format: Kindle eBook
Review
"[...] The end-ofchapter exercises are stimulating, there are adequate references for further study, and the index, though short, is quite helpful. [...] This book introduces the basics of parallel programming on multicore and cluster systems. Adequate sample programs illustrate the key concepts of parallel programming. [...]" ACM Computing Reviews, S. V. Nagaraj, February 2011
From the Back Cover
Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.
About the Author
Thomas Rauber has been professor for parallel and distributed systems at the University of Bayreuth since 2002. His research is focusing on algorithms and systems for distributed and parallel programming, on which he published more than 80 papers in journals or conference proceedings. Gudula Rünger has been professor at the Chemnitz University of Technology since 2000. Her main research interests are parallel and distributed programming both in theory and applications, and she published more than 80 conference and journal papers on these topics.
Most helpful customer reviews
6 of 6 people found the following review helpful.
A CLASSIC & INSIGHTFUL SURVEY OF PARALLEL PROGRAMMING
By Reza Toghraee
This book is great academic quality survey of modern parallel programming. It starts with a brief and yet thorough overview of architecture and recent innovations of the multicore processors. To name a few, the book picks a glance at Intel, AMD, Sun T-series, and IBM Power processors. Followed by that, a short introduction into performance analysis as well as parallel design patterns are presented. Numerous references (often academic journals) are also provided throughout the book.
The book then quickly reviews MPI-1 and MPI-2, which are the most popular Distributed Memory models. I'd taken courses in parallel programming back in the graduate school and used both MPI and OpenMP; however this brief chapter on message passing was simply incredible. Shared memory using POSIX threads and a hint at how to implement different parallel patterns (such as consumer-producer, pipelining, thread pools, and task pools) are followed. The book goes further and addresses Java threads and OpenMP. The final chapter is algorithms for linear systems and works out a few examples like Gaussian elimination...
I found it an invaluable up to date book. Yet it's a survey of parallel programming, aiming at the more experienced programmers, either coming from industry or scientific computing world.
0 of 0 people found the following review helpful.
A strong overview for parallel programming, but a bit outdated and unfriendly for beginners
By jmhal
First I should say that I did not finish the book yet. I'm still on chapter 4, but my thoughts might be useful for other potential readers. If you disconsiders GPU and other accelerators, this book is a complete overview about parallel programming. The reader who manage to go through all the 440 pages of content will surely be able to work in any field of academia or industry that involves parallel programming. Its greatest strength lies on the chapters about Message Passing Programming, Thread Programming, and Algorithms for Systems of Linear Equations. So you learn the technology and how to apply it for real life problems. A new chapter regarding GPGPU and accelerators would make the book the perfect match, let's hope that a new edition will solve this.
Now, the weaknesses. For a title that bears the word Programming, it is not acceptable that there is not any real code until chapter five. The reader has to read 200 pages before doing any coding. Not that theses pages are useless, because they are not. I just think that you don't need to learn so much about architecture and perfomance analysis before start coding. And there are a lot of topics about interconnection networks and routing/switching that, unless you are programming for a real Top500 supercomputer, are not that useful. If you are coding for a general Ethernet based cluster, you can safely postpone learning that.
In the end, it's a great intermediate to advanced book on the topic. If you are really interested in traditional supercomputers, this book is for you. But for a beginner or someone looking for accelerators and GPU, I would not recommend it.
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