high performance computing on graphics processing units: hgpu.org

The parallel and discrete nature of many image-based techniques, such as interpolation methods, are highly suitable for GPU implementations. An important advantage is their bounded complexity by the screen resolution as opposed to the data size. Consequently, the direct surface reconstruction of points using image-based methods is an attractive solution to interactively render large data-sets. […]

We investigate the use of graphics processors (GPUs) to accelerate the solution of large-scale linear systems when the problem data is larger than the main memory of the system and storage on disk is employed. Our solution addresses the programmability problem with a combination of the high-level approach in libflame (the FLAME library for dense […]

Ray tracing efficiently models complex illumination effects to improve visual realism in computer graphics. Typical modern GPUs use wide SIMD processing, and have achieved impressive performance for a variety of graphics processing including ray tracing. However, SIMD efficiency can be reduced due to the divergent branching and memory access patterns that are common in ray […]

The author proposes pseudorandom number generators suitable to execute on a graphic processor. They generate pseudorandom numbers in device memory on graphic processors. Each generator uses shared memory on graphic processors as its internal state space, and uses constant memory as a look-up table for a linear transformation. Output formats of the generator are 32-bit […]

This work considers the deployment of pseudo-random number generators (PRNGs) on graphics processing units (GPUs), developing an approach based on the xorgens generator to rapidly produce pseudo-random numbers of high statistical quality. The chosen algorithm has configurable state size and period, making it ideal for tuning to the GPU architecture. We present a comparison of […]

Process of object recognition in satellite images of high resolution is a complex task associated with a time consumption and complexity of the operator’s work. This paper describes an innovative approach for solving this problem. Based on monochromatic high-resolution satellite images (in the process of using data from the QuickBird satellite with a maximum resolution […]

This paper explores the application of reconfigurable hardware and graphics processing units (GPUs) to the acceleration of financial computation using the finite difference (FD) method. A parallel pipelined architecture has been developed to support concurrent valuation of independent options with high pricing throughput. Our FPGA implementation running at 106 MHz on an xc4vlx160 device demonstrates […]

The speed of the memory subsystem often constrains the performance of large-scale parallel applications. Experts tune such applications to use hierarchical memory subsystems efficiently. Hardware accelerators, such as GPUs, can potentially improve memory performance beyond the capabilities of traditional hierarchical systems. However, the addition of such specialized hardware complicates code porting and tuning. During porting […]

We propose a method of subdivision surface quality assessment by reflection lines on programmable graphics hardware (GPU). Using reflection lines is effective for surface quality assessment because the shapes of these lines are changed according to a slight variance of surface shapes. This fact also implies that reflection lines should be calculated precisely. We introduce […]

The trend in computing architectures has been toward multi-core central processing units (CPUs) and graphics processing units (GPUs). An affordable and highly parallelizable GPU is practical example of Single Instruction, Multiple Data (SIMD) architectures oriented toward stream processing. While the GPU architectures and languages are fairly easily employed for inherently time-synchronous based simulation models, it […]

Medical simulations of lung dynamics promise to be effective tools for teaching and training clinical and surgical procedures related to lungs. Their effectiveness may be greatly enhanced when visualized in an augmented reality (AR) environment. However, the computational requirements of AR environments limit the availability of the central processing unit (CPU) for the lung dynamics […]

Recently graphic processing units (GPU’s) have become the hardware platforms to perform high performance scientific computing them. The unavailability of high level languages to program graphics cards had prevented the widespread use of GPUs. Relatively recently Compute Unified Device Architecture (CUDA) development environment has been introduced by NVIDIA and made GPU programming much easier. This […]