Showing posts with label concurrency. Show all posts
Showing posts with label concurrency. Show all posts

The Sourcebook of Parallel Computing (The Morgan Kaufmann Series in Computer Architecture and Design) Review

The Sourcebook of Parallel Computing (The Morgan Kaufmann Series in Computer Architecture and Design)
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The Sourcebook of Parallel Computing (The Morgan Kaufmann Series in Computer Architecture and Design) Review...This book builds on the important work done at the Center for Research on Parallel Computation and within the academic community for over a decade. It is a definitive text on parallel Computing and should be a key reference for students,
researchers and practitioners in the field. The Sourcebook for Parallel Computing gives a thorough introduction to parallel applications, software technologies, enabling technologies, and algorithms. I highly recommend this great book to anyone
interested in a comprehensive and thoughtful treatment of the most important issues in parallel computing. The Features & Benefits of this book includes...but not limited to 1) Providing a solid background in parallel computing technologies 2) Examining the technologies available and teaches students and practitioners how to select and apply them 3) Presenting case studies in a range of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake and 4) Considering the future development of parallel computing technologies and the kinds of applications they will support. Worth buying this book, your money is invested!The Sourcebook of Parallel Computing (The Morgan Kaufmann Series in Computer Architecture and Design) Overview
Parallel Computing is a compelling vision of how computation can seamlessly scale from a single processor to virtually limitless computing power. Unfortunately, the scaling of application performance has not matched peak speed, and the programming burden for these machines remains heavy.The applications must be programmed to exploit parallelism in the most efficient way possible. Today, the responsibility for achieving the vision of scalable parallelism remains in the hands ofthe application developer.
This book represents the collected knowledge and experience of over 60 leading parallel computing researchers.They offer students, scientists and engineers a complete sourcebook with solid coverage ofparallel computing hardware, programming considerations, algorithms, software and enabling technologies, as well as several parallel application case studies. The Sourcebook of Parallel Computing offers extensivetutorials and detailed documentation of the advanced strategies produced by research over the last two decades application case studies. The Sourcebook of Parallel Computing offers extensivetutorials and detailed documentation of the advanced strategies produced by research over the last two decades* Provides a solid background in parallel computing technologies* Examines the technologies available and teaches students and practitioners how to select and apply them* Presents case studies in a range of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake Simulation* Considers the future development of parallel computing technologies and the kinds of applications they will support

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Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation) Review

Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation)
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Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation) ReviewI have most of the parallel computing books out there so I am sort of a collector of sorts. Most focus on either the basics of parallel programming, MPI, OpenMP, both, or some other less popular (yet) paradigm e.g. PFortran, TBB, etc. With every parallel-computing wanna be buying a multicore machine dual, quad, dual-quad, etc., the parallel computing software "industry" is in flux. No longer will MPI on a cluster be enough. It still remains to be seen whether the slower memory bus on quad core machines will allow for speedups without major code overhaul or a new paradigm. Anyway, this book is a welcome addition to my collection. For one, it is current e.g. 2008 and also it is focussed on OpenMP (but does treat dual MPI/OpenMP programming). It is well written (I am about 100 pages in since I just got my copy last week) and has one tantalizing chapter entitled "How to get good performance by using OpenMP" - which is really timely since my new 72 core machine (9 dual Intel quad cores) seems to give slower performance for a major commercial CFD code than the equivalent number of dual-core nodes). I hope it helps me. Based on the rapid growth of multicore machines and the lack of a simple programming solution, I recommend this book to all those wanting to try and get their codes running fast on multicore machines. The only downsides in this book so far is the lack of downloadable code (you have to type it in yourself) and it is hard to test the code fragments because they are just that - fragments. A nice feature of the book is the 50/50 emphasis on Fortran/C codes - which are the still the mainstay in large-scale scientific computing.Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation) OverviewA comprehensive overview of OpenMP, the standard application programminginterface for shared memory parallel computing--a reference for students andprofessionals.

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