high performance computing on graphics processing units: hgpu.org

An analytical model of a vertical axis wind turbine was implemented using both a 2-D and a 3-D vortex model. The model requires significant amounts of computational resources and time compelling the use of an improved method for executing the algorithm in a highly parallelized fashion. Graphics Processing Units (GPUs), which are a new highly […]

While the correctness of an NVIDIA CUDA program is easy to achieve, exploiting the GPU capabilities to obtain the best performance possible is a task for CUDA experienced programmers. Typical code tuning strategies, like choosing an appropriate size and shape for the threadblocks, programming a good coalescing, or maximize occupancy, are inter-dependent. Moreover, the choices […]

Modern Graphics Processing Units (GPUs) are capable of much more than supporting GUIs and generating 3D graphics. These devices are highly parallel, highly multithreaded multiprocessors harnessing a large amount of floating-point processing power for non-graphics problems. This project is based on experiments in CUDA C. These examples seek to demonstrate the potential speedups offered by […]

This work considers the acceleration of matrix-based computational electromagnetic (CEM) techniques using graphics processing units (GPUs). These massively parallel processors have gained much support since late 2006, with software tools such as CUDA and OpenCL greatly simplifying the process of harnessing the computational power of these devices. As with any advances in computation, the use […]

Given that CPU clock speeds are stagnating, programmers are resorting to parallelism to improve the performance of their applications. Although such parallelism has usually been attained using either multicore architectures, multiple CPUs and/or clusters of machines, the GPU has since been used as an alternative. GPUs are an interesting resource because they can provide much […]

Text matching with errors is a regular task in computational biology. We present an extension of the bit-parallel Wu-Manber algorithm to combine several searches for a pattern into a collection of fixed-length words. We further present an OpenCL parallelization of a redundant index on massively parallel multicore processors, within a framework of searching for similarities […]

In the ongoing arms race against malware, antivirus software is at the forefront, as one of the most important defense tools in our arsenal. Antivirus software is flexible enough to be deployed from regular users desktops, to corporate e-mail proxies and file servers. Unfortunately, the signatures necessary to detect incoming malware number in the tens […]

Fast algorithms are important for efficient image processing systems for handling large set of calculations. To speedup the processing, parallel implementation of an algorithm can be done using Graphics Processing Unit (GPU). GPU is general purpose computation hardware; programmability and low cost make it productive. Binarization is widely used technique in the image analysis and […]

Binarization is widely used technique in many of the image processing applications. Fast algorithms are needed for fast and efficient image processing systems. Many algorithms of image processing and pattern recognition have recently been implemented on Graphic Processing Unit (GPU) for faster computational times. GPUs are most prominent hardware in utilizing parallelism and pipelining than […]

High speed feature detection is a requirement for many real-time multimedia and computer vision applications. In previous work, the Harris and KLT algorithms were redesigned to increase the performance by reducing the algorithmic complexity, resulting in the Low Complexity Corner Detector algorithm. To attain further speedup, this paper proposes the implementation of this low complexity […]

Neighborhood denoising filters are powerful techniques in image processing and can effectively enhance the image quality in CT reconstructions. In this study, by taking the bilateral filter and the non-local mean filter as two examples, we discuss their implementations and perform fine-tuning on the targeted GPU architecture. Experimental results show that the straightforward GPU-based neighborhood […]

General purpose computing on GPUs provides a way for certain applications to benefit from a commonly available massively parallel architecture. As such deployment becomes more widespread, multiple GPU applications will have to execute on the same hardware in systems that have only one GPU. The aggregate loads of the GPU and CPU impact the performance […]