Sentence examples for using graphic processing from inspiring English sources
Direct georeferencing is performed by orthorectifying images using graphic processing units (GPUs) of the PCs.
The parallelization of the finite-difference time-domain (FDTD) method for room acoustic simulation using graphic processing units (GPUs) has been subject of study even prior to the introduction of GPGPU (general-purpose computing on GPUs) environments such as the compute unified device architecture (CUDA) from Nvidia.
First, we illustrate the interest of using Graphic Processing Units (GPU) to support efficient implementations of computer vision algorithms, and secondly, we introduce the use of point-based 3D models as a shape prior for real-time 3D tracking with a monocular camera.
It also implements a border mirroring strategy to effectively process border areas in the image, and has been efficiently implemented using graphics processing units (GPUs).
Nevertheless, using graphics processing units (GPUs) for optimized parallelization might substantially reduce SPECT reconstruction times.
In recent years, efficient implementation of such schemes have been carried out using Graphics Processing Units (GPUs).
Computational efficiency is achieved under a combination of element-specific kernels (including new quadrature-free operators for the pyramid), multi-rate timestepping, and acceleration using Graphics Processing Units.
We show how to simulate the dynamics of many body quantum systems using Graphics Processing Units or a similar heterogeneous architecture.
This paper proposes a well-suited strategy for High Performance Computing (HPC) of density-based topology optimization using Graphics Processing Units (GPUs).
In this paper, we implemented parallel cloth and mass-spring simulation using graphics processing unit (GPU) with OpenCL and multi-threaded central processing unit (CPU) on a mobile device.
For single workstations, there are now many high-performance implementations of both classical backprojection methods and iterative methods, often using graphics processing units (GPUs), for both parallel and cone-beam geometries [9 14].
