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The actual performance of a specific parallel algorithm depends on the degree of parallelism of the underlying problem and the procedures used to implement the computational logic.
Degree of parallelism Microarchitectures can accelerate algorithms with a high degree of parallelism.
For the HEVC parallel processing architecture, researchers have put forward a lot of parallel recommendations and improvement methods, involving a higher degree of parallelism encoding and decoding algorithm to improve the coding speed.
As for the area-efficient microarchitecture, this design exhibits a variable degree of parallelism, as addresses after n−1 may be accessed; the outlined solution represents a compromise between parallelism and clock frequency.
Because of the high degree of parallelism in the algorithm, designers can take full advantage of parallel processing in hardware while linearly scaling total throughput with available hardware resources.
In this study, we implemented the GPU parallelization based on the design (a) because it enabled the highest degree of parallelism.
The use of a pointwise smoother increases the degree of parallelism of the algorithm.
Thus, the degree of parallelism is restricted by the length of the data image.
In this paper, we examine one application that contains a very high degree of parallelism.
There is a large degree of parallelism inherent in this interpretation.
This saves FPGA-resources and allows an even higher degree of parallelism.
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