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This article lists concurrent and parallel programming languages, categorizing them by a defining paradigm.Concurrent and parallel programming languages involve multiple timelines.
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It can also be used to port Unix software (which uses pthreads) with little or no modification to the Windows platform. [4] Pthreads4w version 3.0.0 [5] or later, released under the Apache Public License v2.0, is compatible with 64-bit or 32-bit Windows systems. Version 2.11.0, [6] released under the LGPLv3 license, is also 64-bit or 32-bit ...
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From the software standpoint, hardware support for multithreading is more visible to software, requiring more changes to both application programs and operating systems than multiprocessing. Hardware techniques used to support multithreading often parallel the software techniques used for computer multitasking. Thread scheduling is also a major ...
The second example is that of parallelising a for loop: for ( i = 0 ; i < count ; i ++ ) { results [ i ] = do_work ( data , i ); } total = summarize ( results , count ); This code runs the do_work function count times, assigning the i th result to the i th element in the array results , and then calls summarize on array once the loop has ended.
So, for example, the diameter of a 2-cube is 2. In a hypercube system with eight processors and each processor and memory module being placed in the vertex of a cube, the diameter is 3. In general, a system that contains 2^N processors with each processor directly connected to N other processors, the diameter of the system is N.
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