Multi-core programming

Part 1 of ebook "Operating system concepts (Tenth edition)" provides readers with content including: operating-system structures; process management; processes; threads and concurrency; cpu scheduling; process synchronization; synchronization tools; synchronization examples; memory management; virtual memory; storage management; mass-storage structure; file-system interface; file-system implementation; file-system internals;...

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In this chapter, the following content will be discussed: Overview, multicore programming, multithreading models, thread libraries, implicit threading, threading issues, operating system examples.

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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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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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Speed. Aside from caffeine, nothing quickens the pulse of a programmer as much as the blazingly fast execution of a piece of code. How can we fulfill the need for computational speed? Moore’s law takes us some of the way, but multicore is the real future. To take full advantage of multicore, we need to program with concurrency in mind. In a concurrent program, two or more actions take place simultaneously. A concurrent program may download multiple files while performing computations and updating the database. We often write concurrent programs using threads in Java.

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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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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- P48: 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- P47: 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- P46: 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- P45: 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- P44: 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- P43: 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- P42: 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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Tham khảo tài liệu 'parallel programming: for multicore and cluster systems- p41', công nghệ thông tin, phần cứng phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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Parallel Programming: for Multicore and Cluster Systems- P39: 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- P38: 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- P37: 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- P36: 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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