Parallel Computing can be made possible using the multiple cores of the Graphics Processing Unit (GPU) thanks to the modern programmable GPU models. This allows the use of parallel computing techniques to improve upon the computation time of large scale traffic simulations. This paper proposes the use of a multi-processor algorithm for creating efficient traffic simulation software. The method ...

Computational fluid dynamics (CFD) can provide detailed information of flow motion, temperature distributions and species dispersion in buildings. However, it may take hours or days, even weeks to simulate airflow in a building by using CFD on a single central processing unit (CPU) computer. Parallel computing on a multi-CPU supercomputer or computer cluster can reduce the computing time, but t...

De Bruijn graph construction is a basic component in de novo genome assembly for short reads generated from the second-generation sequencing machines. As this component processes a large amount of data and performs intensive computation, we propose to use the GPU (Graphics Processing Unit) for acceleration. Specifically, we propose a staged algorithm to utilize the GPU for computation over larg...

In this paper, a novel parallelized implementation of rotation invariant texture classification using Heterogeneous Computing Platforms like CPU and Graphics Processing Unit (GPU) is proposed. A complete modeling of the LBP operator as well as its improvised versions of Complete Local Binary Patterns (CLBP) and Multi-scale Local Binary Patterns (MLBP) has been developed on a CPU and GPU based H...

Rendering realistic moving water is one of the key techniques that immerse the viewers into interactive graphics world including computer games. Physical simulations based on computational fluid dynamics (CFD) is useful for rendering the realistic behaviour of water. However, real-time fluid rendering has been one of the challenging tasks because of high computational cost of CFD. According to ...

Graphics processing units (GPUs) are powerful devices capable of rapid parallel computation, but using them for general computing tasks can be a difficult and tedious endeavor. We have created a graphical language called Chestnut that simplifies the process of programming on the GPU. The graphical environment is supported by a readable backend language that can be translated into GPU-ready code...

MIGS-GPU is a software package for gridding and segmenting cDNA microarray images. MIGS-GPU addresses two stages of microarray image analysis: Firstly, it implements a genetic algorithm in order to efficiently perform the gridding even in poor quality microarray images. Then, it implements a grow-cut algorithm in order to segment the microarray images. Computations for both the gridding and seg...

Mars Rovers are the unmanned machines on planet MARS which are send to analyze and provide details about the planet. GPU and Genetic Algorithms are upcoming technologies used in Mars Rovers for analyzing and sending the data back to the Earth base station. GPU stands for Graphics Processing Unit in which Image compression is the basic layout of the technology. Image compression involves WAVELET...

A graphics processing unit (GPU) can perform massively parallel computations at relatively low cost. Software interfaces like NVIDIA CUDA allow for General Purpose computing on a GPU (GPGPU). Wrappers of the CUDA libraries for higher-level programming languages such as MATLAB and IDL allow its use in image processing. In this paper, we implement GPGPU in IDL with two distance measures frequentl...