Sentence examples for of graphic processing from inspiring English sources

We also present an implementation of the heuristics in parallel approach with the aid of graphic processing units (GPU).

Meanwhile, the hybrid-domain FWI is very suitable for fine-grained parallel computation, and the application of graphic processing unit (GPU) has significantly enhanced the computation efficiency.

At the same time, with the introduction of Compute Unified Device Architecture (CUDA), the general-purpose computing of Graphic Processing Unit (GPU) extended to more applications.

This performance will be comparable to that of Graphic Processing Unit (GPU) cluster systems, such as the one with about 200 Tesla C1070 GPUs (Spurzem et al., 2010).

Recent developments in the area of Graphic Processing Units (GPUs) make it possible to have access to high-performance computing solutions at a low cost, allowing their use in many scientific problems.

In this paper, we propose a parallel implementation of Laplacian sharpening based on Compute Unified Device Architecture (CUDA), which is a computing platform of Graphic Processing Units (GPU), and analyze the impact of picture size on performance and the relationship between the processing time of between data transfer time and parallel computing time.

Recently, the introduction of graphics processing units (GPUs) has enabled the acceleration of computationally intensive processes with their massive parallel capabilities.

The computational advantages of Graphics Processing Units are used to accelerate the mesh generation and flow analysis.

The increasing computing power of graphics processing units (GPU) has motivated the use of GPUs to speed up climate models.

Recently, researchers have begun to explore the highly parallel structure of graphics processing units (GPUs) in order to accelerate integration schemes for these ODE systems.

Furthermore, through the implementation in CUDA, we sought to exploit the parallel computing capabilities of graphics processing units (GPUs) to achieve the speeds required for clinical utilization.