Add to ORKGThe aim of this trim’s thesis is to reveal possibilities and demonstrate parallelization of computation on graphics processors. The paper presents descriptions of available development tools, and then one of them is selected to implement MD5 encryption algorithm and neural network for optical character recognition. Its performance is then compared to its parallel equivalent for conventional processors. In conclusion, problems encountered during development are described, and ways of avoiding them are discussed
As the programmability and performance of modern GPUs continues to increase, many researchers are lo...
Pattern Matching is a computationally intensive task used in many research fields and real world app...
To begin, a brief introduction of the graphics processing unit (GPU) and parallel computing. Afterwa...
The article discusses possibilities of implementing a neural network in a parallel way. The issues o...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
This article analyzed processes such as parallel algorithms for digital processing of images in grap...
Thanks to the nature of the graphics processing, the newly released products offer highly parallel p...
General purpose graphical processing units were proven to be useful for accelerating computationally...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Graphs are de facto data structures for many applications, and efficient graph processing is a must ...
This thesis proposes a new theoretical model for GPGPUs(General Purpose on GPUs), which are designed...
As the base of the software stack, system-level software is expected to provide efficient and scalab...
Although the graphics processing unit (GPU) was originally designed to accelerate the image creation...
The Graphics Processing Unit (GPU) parallel architecture is now being used not just for graphics but...
Abstract. Although the graphics processing unit (GPU) was originally designed to accelerate the imag...
As the programmability and performance of modern GPUs continues to increase, many researchers are lo...
Pattern Matching is a computationally intensive task used in many research fields and real world app...
To begin, a brief introduction of the graphics processing unit (GPU) and parallel computing. Afterwa...
The article discusses possibilities of implementing a neural network in a parallel way. The issues o...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
This article analyzed processes such as parallel algorithms for digital processing of images in grap...
Thanks to the nature of the graphics processing, the newly released products offer highly parallel p...
General purpose graphical processing units were proven to be useful for accelerating computationally...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Graphs are de facto data structures for many applications, and efficient graph processing is a must ...
This thesis proposes a new theoretical model for GPGPUs(General Purpose on GPUs), which are designed...
As the base of the software stack, system-level software is expected to provide efficient and scalab...
Although the graphics processing unit (GPU) was originally designed to accelerate the image creation...
The Graphics Processing Unit (GPU) parallel architecture is now being used not just for graphics but...
Abstract. Although the graphics processing unit (GPU) was originally designed to accelerate the imag...
As the programmability and performance of modern GPUs continues to increase, many researchers are lo...
Pattern Matching is a computationally intensive task used in many research fields and real world app...
To begin, a brief introduction of the graphics processing unit (GPU) and parallel computing. Afterwa...