Recently, heat and mass transfer simulation is more and more important in various engineering fields. In order to analyze how heat and mass transfer in a thermal environment, heat and mass transfer simulation is needed. However, it is too much time-consuming to obtain numerical solutions to heat and mass transfer equations. Therefore, in this paper, one of acceleration techniques developed in t...

In recent years, the Graphics Processing Unit (GPU) has emerged as a low-cost alternative for high performance computing, enabling impressive speed-ups for a range of scientific computing applications. Early adopters in astronomy are already benefiting in adapting their codes to take advantage of the GPU’s massively parallel processing paradigm. I give an introduction to, and overview of, the u...

Floating point precision and performance and the ratio of floating point units to integer processing elements on a graphics processing unit accelerator all continue to present complex tradeoffs for optimising core utilisation on modern devices. We investigate various hybrid CPU and GPU combinations using a range of different GPU models occupying different points in this tradeoff space. We analy...

Study of general purpose computation by GPU (Graphics Processing Unit) can improve the image processing capability of micro-computer system. This paper studies the parallelism of the different stages of decimation in time radix 2 FFT algorithm, designs the butterfly and scramble kernels and implements 2D FFT on GPU. The experiment result demonstrates the validity and advantage over general CPU,...

The graphics processing unit (GPU) is becoming a very powerful platform to accelerate graphics and data-parallel compute-intensive applications. It significantly outperforms traditional multi-core processors in performance and energy efficiency. Its application domains also range widely from embedded systems to high-performance computing systems. However, operating systems support is not adequa...

Real-Time Computer Graphics focuses on generating images fast enough to cause the illusion of a continuous motion. It is used in science, engineering, computer games, image processing, and design. Special purpose graphics hardware, a so-called graphics processing unit (GPU), accelerates the image generation process substantially. erefore, GPUs have become indispensable tools for Real-Time Comp...

Any modern Graphics Processing Unit (graphics card) is a good platform to run massively parallel programs. Still, we lack tools observe and measure performance characteristics of GPU-based software. We state that due complex memory hierarchy thou- sands execution threads the all issues are about efficient use graphics card hierarchy. propose GPGPUSim simulator, previously used mostly for archit...

This thesis delves into the field of general purpose computation on graphics processing units (GPGPU). A MATLAB interface for solving numerical linear algebra on the graphics processing unit (GPU), and three algorithms from numerical linear algebra are presented. The algorithms are shown to be faster than the highly efficient ATLAS implementations used in MATLAB. In addition, the interface allo...

We exploit the parallel architecture of the Graphics Processing Unit (GPU) used in desktops to efficiently implement the traditional K-means algorithm. Our approach in clustering avoids the need for data and cluster information transfer between the GPU and CPU in between the iterations. In this paper we present the novelties in our approach and techniques employed to represent data, compute dis...

An approximation for fast digital hologram generation is implemented on a central processing unit (CPU), a graphics processing unit (GPU), and a multi-GPU computational platform. The computational performance of the method on each platform is measured and compared. The computational speed on the GPU platform is much faster than on a CPU, and the algorithm could be further accelerated on a multi...