<p>The program can be divided into two parts: a serial part and a parallel part. The serial part is processed in a CPU and the parallel part is processed in a GPU. The program: 1. Prepare the data for parallel computing in a CPU; 2. Copy the data from CPU memory to GPU memory; 3. Parallelize the 3<sup>n</sup> jobs computing in the GPU, where n is the pedigree size; 4. Copy the results from GPU memory to CPU memory; and 5. Summarize the results in the CPU.</p
The article presents a comparative analysis of the implementation of parallel algorithms on the cent...
International audienceThis book chapter proposes to draw several development methodologies to obtain...
Abstract. The rendering process of graphics rendering pipeline is usually com-pleted by both the CPU...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Many tasks in data mining and statistics are inherently parallel. While modern commodity desktop pro...
Parallel programming is about performance, for otherwise we’d write a sequential program. A problem ...
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
Graphics Processing Units (GPUs) have been successfully used to accelerate scientific applications d...
To begin, a brief introduction of the graphics processing unit (GPU) and parallel computing. Afterwa...
Data analyze has become very important with growth of information today. There is a need of real-tim...
Programming Massively Parallel Processors discusses basic concepts about parallel programming and GP...
The future of computation is the GPU, i.e. the Graphical Processing Unit. The graphics cards have sh...
Parallel programming is a form of computation in which the calculations are carried out simultaneous...
We propose a model that uses a small set of quite simple parameters to devise a proper partitioning ...
The article presents a comparative analysis of the implementation of parallel algorithms on the cent...
International audienceThis book chapter proposes to draw several development methodologies to obtain...
Abstract. The rendering process of graphics rendering pipeline is usually com-pleted by both the CPU...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Many tasks in data mining and statistics are inherently parallel. While modern commodity desktop pro...
Parallel programming is about performance, for otherwise we’d write a sequential program. A problem ...
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
Graphics Processing Units (GPUs) have been successfully used to accelerate scientific applications d...
To begin, a brief introduction of the graphics processing unit (GPU) and parallel computing. Afterwa...
Data analyze has become very important with growth of information today. There is a need of real-tim...
Programming Massively Parallel Processors discusses basic concepts about parallel programming and GP...
The future of computation is the GPU, i.e. the Graphical Processing Unit. The graphics cards have sh...
Parallel programming is a form of computation in which the calculations are carried out simultaneous...
We propose a model that uses a small set of quite simple parameters to devise a proper partitioning ...
The article presents a comparative analysis of the implementation of parallel algorithms on the cent...
International audienceThis book chapter proposes to draw several development methodologies to obtain...
Abstract. The rendering process of graphics rendering pipeline is usually com-pleted by both the CPU...