Multicore programming

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  • Professional Multicore Programming: Design and Implementation for C++ Developers presents the basics of multicore programming in a simple, easy–to–understand manner so that you can easily apply the concepts to your everyday projects. Learn the fundamentals of programming for multiprocessor and multithreaded architecture, progress to multi–core programming and eventually become comfortable with programming techniques that otherwise can be difficult to understand.

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  • Scala is an exciting, modern, multi-paradigm language for the JVM. You can use it to write traditional, imperative, object-oriented code. But you can also leverage its higher level of abstraction to take full advantage of modern, multicore systems. Programming Scala will show you how to use this powerful functional programming language to create highly scalable, highly concurrent applications on the Java Platform.

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  • This book is about the parallel programming features of .NET 4, specifically the Task Parallel Library (TPL), Parallel LINQ, and the legion of support classes that make writing parallel programs with C# simpler and easier than ever before. With the widespread use of multiprocessor and multicore computers, parallel programming has gone mainstream. Or it would

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  • In this chapter you will learn: To introduce the notion of a thread a fundamental unit of CPU utilization that forms the basis of multithreaded computer systems; to discuss the APIs for the Pthreads, Windows, and Java thread libraries; to explore several strategies that provide implicit threading; to examine issues related to multithreaded programming; to cover operating system support for threads in Windows and Linux.

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  • Many operating systems support multitasking which enables many computer programs to appear to run simultaneously on one computer. Operating systems may run multiple programs through process scheduling — a software mechanism to switch the CPU among processes often so users can interact with each program while it runs.[10] Within hardware, modern day multiprocessor computers or computers with multicore processors may run multiple programs.[11]

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  • Parallel Programming: for Multicore and Cluster Systems- P1: 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....

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  • Parallel Programming: for Multicore and Cluster Systems- P2: 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....

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  • With the introduction of multicore devices such as the iPad 2 and the quad-core Mac- Book Pro, writing multithreaded apps that take advantage of multiple cores on a device has become one of the biggest headaches for developers. Take, for instance, the introduction of iPad 2. On the launch day, only a few applications, basically those released by Apple, were able to take advantage of its multiple cores. Applications like Safari performed very well on the iPad 2 compared to the original iPad, but some third-party browsers did not perform as well as Safari.

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  • Parallel Programming: for Multicore and Cluster Systems- P3: 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....

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  • Parallel Programming: for Multicore and Cluster Systems- P4: 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....

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  • Parallel Programming: for Multicore and Cluster Systems- P6: 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....

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  • Parallel Programming: for Multicore and Cluster Systems- P10: 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....

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  • Parallel Programming: for Multicore and Cluster Systems- P5: 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....

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  • Parallel Programming: for Multicore and Cluster Systems- P7: 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....

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  • Parallel Programming: for Multicore and Cluster Systems- P8: 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....

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  • Parallel Programming: for Multicore and Cluster Systems- P11: 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....

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  • Parallel Programming: for Multicore and Cluster Systems- P26: 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....

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  • Parallel Programming: for Multicore and Cluster Systems- P30: 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....

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  • Parallel Programming: for Multicore and Cluster Systems- P40: 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....

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  • Parallel Programming: for Multicore and Cluster Systems- P12: 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....

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