The phrase "degrees of parallelism" is correct and can be used in written English.
This phrase is typically used when discussing grammar. For example, you could say, "In English, there are different levels and degrees of parallelism that must be followed in order to create a grammatically correct sentence."
It also increases the degrees of parallelism.
Multiple architectures with different degrees of parallelism are explored.
The research is completed with the study of different implementation versions with diverse degrees of parallelism.
We investigate user-level schedulers that dynamically "rightsize" the dimensions and degrees of parallelism on the cell broadband engine.
The architecture presents a new scalable design that allows variable degrees of parallelism in order to achieve the best balance between performance and FPGA resources usage.
However, as more processing nodes (heterogeneous or homogeneous) are integrated in a single chip, the fitting of computational tasks to hardware resources is still a challenging task since its related to the optimal exploitation of the different types and degrees of parallelism among multiple processing elements available in the MPSoC design.
Notably, for the application of handwritten digit recognition, a promising training speedup of 13.5x and a recognition speedup of 25.8x are achieved by a parallel implementation whose degree of parallelism is 32.
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.
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.
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.
To improve the efficiency of our calculation of Δ Fknotting – Δ Fknotting(0), we implemented the most computationally intensive part of our simulation algorithm on a GPU using CUDA, which allows for a high degree of parallelism but is restrictive in terms of the homogeneity of the parallel calculations.
