Wednesday, September 19, 2012

Parallel Programming | nuwavesoft.com

What type of parallel programming, and why do you care? In short, it is a method of program code, which pluralism to be performed at the same time. While this type of programming may be more complex than sequential (standard) programs much more, especially with today?s technology.

Familiarize yourself with your parallel. The most common form of multithreading, multi-threaded application some code snippets. Performance of the individual strands.

Modern desktop processors usually 2-8 separate cores independently of each code. Therefore, parallelism is important. Sequential programming, but the heart of instructions stored in a parallel program to run, and then everything will be faster.

Another factor is the parallelism of modern GPUs. Although I have seen the most common use of the video card graphics for video games, including the use of more commercial ever. When the GPU is basically a variety of specialized processors for data-intensive applications in many lenses very quickly on the GPU.

In many cases, there is a write code specific parallel programming language. As the modern operating systems multithreading library, you can use it easily. For example, consider a program to increase your multiple computers processing power. Because the operating system is usually a single computer at the same time, multi-threaded application does not work on some computers. You must rewrite the parallel application code clearer so that OpenMP parallel computations on multiple computers at the same time.

The common use of the library is a special page when calculations are performed on the GPU. Special equipment is needed again. If the application code is written to them an exercise program, a plurality of segments, unit singled slowly GPU processing. In the case of computer problems, the parallel, so that, for example, by encrypting the GPU to deliver twice the processing power valuable the processor parallelism rewrote code issue.

Source: http://nuwavesoft.com/parallel-programming.html

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