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- W4285411915 abstract "The growth of software techniques for implementing applications must go hand in hand with the growth of computer system hardware in the design of multi-core and multi-processor systems; otherwise, we cannot expect to be able to use maximum hardware capacities. One of the most important and challenging techniques for running applications is to run them in parallel with a focus on loop parallelism to reduce execution time. On the other hand, in recent years, many algorithms have been working on volumetric data, i.e., three-dimensional spaces; therefore, parallelization must be possible for all types of two-dimensional and three-dimensional loops. Uniformization is an important part of loop parallelism, and also the present paper’s focus. The proposed algorithm in the present paper performed uniformization with a combination of the frog leaping algorithm and the fuzzy system for two- and three-dimensional loops on a wide range of input dependence vectors and achieved a considerable variety of results in the desired time. The results of this study can be used to facilitate the development of parallel codes." @default.
- W4285411915 created "2022-07-14" @default.
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- W4285411915 date "2022-01-01" @default.
- W4285411915 modified "2023-09-27" @default.
- W4285411915 title "A New Combination Method for Improving Parallelism in Two and Three Level Perfect Nested Loops" @default.
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- W4285411915 doi "https://doi.org/10.1109/access.2022.3190483" @default.
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