engleski

Maximum parallel algorithms for solving applied problems

In this paper, using the example of solving thermal problems of mathematical physics, the possibility of creating the most parallel form of computational algorithms for solving thermal problems and their mapping to the architecture of multiprocessor systems is shown. It is shown that an effective tool for studying heat and mass transfer problems in metallurgical production can be considered the use of parallel computing technologies on distributed cluster systems, which have a relatively low cost and are fairly easily scalable both in the number of processors and in the amount of RAM.

applied problems ; parallel algorithms

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