Compute Unified Device Architecture (CUDA) is a parallel computing platform developed by Nvidia for increase speed of graphics by usage of parallel mode for processes calculation. The success of this solution has opened technology General-Purpose Graphic Processor Units (GPGPUs) for applications not coupled with graphics. The GPGPUs system can be applying as effective tool for reducing huge number of data for pulse shape analysis measures, by on-line recalculation or by very quick system of compression. The simplified structure of CUDA system and model of programming based on example Nvidia GForce GTX580 card are presented by our poster contribution in stand-alone version and as ROOT application
Description Compute Unified Device Architecture (CUDA) is a software platform for massively parallel...
This Bachelor thesis deals with the acceleration of function calculations, using parallel computing ...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
Compute Unified Device Architecture (CUDA) is a parallel computing platform developed by NVIDIA for ...
AbstractCUDA (Compute Unified Device Architecture) is a parallel computing platform and programming ...
Abstract — GPU based on CUDA Architecture developed by NVIDIA is a high performance computing device...
The future of computation is the GPU, i.e. the Graphical Processing Unit. The graphics cards have sh...
With the technology development of medical industry, processing data is expanding rapidly and comput...
This research study is based on the growing interest towards graphical processing unit usability for...
Abstract: Basics of application of nVidia© CUDA technology are considered for paralleling ...
In many research fields the numerical problems demand extremely large computational power. As a c...
Technologies of GPGPU are an important and promising area of high- performance parallel computing. T...
Abstract — Scientific computation requires a great amount of computing power especially in floating...
A new trend in computing is the use of multi-core processors and the use of Graphics Processing Unit...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Description Compute Unified Device Architecture (CUDA) is a software platform for massively parallel...
This Bachelor thesis deals with the acceleration of function calculations, using parallel computing ...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
Compute Unified Device Architecture (CUDA) is a parallel computing platform developed by NVIDIA for ...
AbstractCUDA (Compute Unified Device Architecture) is a parallel computing platform and programming ...
Abstract — GPU based on CUDA Architecture developed by NVIDIA is a high performance computing device...
The future of computation is the GPU, i.e. the Graphical Processing Unit. The graphics cards have sh...
With the technology development of medical industry, processing data is expanding rapidly and comput...
This research study is based on the growing interest towards graphical processing unit usability for...
Abstract: Basics of application of nVidia© CUDA technology are considered for paralleling ...
In many research fields the numerical problems demand extremely large computational power. As a c...
Technologies of GPGPU are an important and promising area of high- performance parallel computing. T...
Abstract — Scientific computation requires a great amount of computing power especially in floating...
A new trend in computing is the use of multi-core processors and the use of Graphics Processing Unit...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Description Compute Unified Device Architecture (CUDA) is a software platform for massively parallel...
This Bachelor thesis deals with the acceleration of function calculations, using parallel computing ...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...