high performance computing on graphics processing units: hgpu.org

Rigid body simulations are useful in many areas, most notably video games and computer animation. However, the requirements for accuracy and performance vary greatly between applications. In this project we combine methods and techniques from different sources to implement a rigid body simulation. The simulation uses a particle representation to approximate objects with the intent […]

During recent years General-Purpose Graphical Processing Units (GP-GPUs) have entered the field of High-Performance Computing (HPC) as one of the primary architectural focuses for many research groups working with complex scientific applications. Nvidia’s Tesla C2050, codenamed Fermi, and AMD’s Radeon 5870 are two devices positioned to meet the computationally demanding needs of supercomputing research groups […]

Building an effective programming model for many-core processors is challenging. On the one hand, the increasing variety of platforms and their specific programming models force users to take a hardware-centric approach not only for implementing parallel applications, but also for designing them. This approach diminishes portability and, eventually, limits performance. On the other hand, to […]

It is always a tedious task to manually analyze and detect parallelism in programs. When we deal with autoparallelism the task becomes more complex. Frameworks such as OpenMP is available through which we can manually annotate the code to realize parallelism and take the advantage of underlying multi-core architecture. But the programmer’s life becomes simple […]

Heterogeneous systems are becoming more common on High Performance Computing (HPC) systems. Even using tools like CUDA [1] and OpenCL [2] it is a non-trivial task to obtain optimal performance on the GPU. Approaches to simplifying this task include Merge [3] (a library based framework for heterogeneous multi-core systems), Zippy [4] (a framework for parallel […]

The graphics processing unit (GPU) continues to make significant strides as an accelerator in commodity cluster computing for high-performance computing (HPC). For example, three of the top five fastest supercomputers in the world, as ranked by the TOP500, employ GPUs as accelerators. Despite this increasing interest in GPUs, however, optimizing the performance of a GPU-accelerated […]

Graphics processing units (GPUs) greatly improved their performance over the last ten years. The first graphics cards have been developed in the late 90’s and were targeted for the mass market. These first cards were special purpose hardware, designed to accelerate graphic processing required in computer games. As the interest in computer games continued, GPU […]

In this paper we present a highly optimized implementation of Gaussian mixture acoustic model evaluation algorithm. Evaluation of these likelihoods is one of the most computationally intensive parts of automatics speech recognizers but it can be well-parallelized and offloaded to GPU devices. Our approach offers significant speed-up compared to the recently published approaches, since it […]

Distance matrix calculation used in phylogeny analysis is computational intensive. The growing sequences data sets necessitate fast computation method. This paper accelerate Felsenstein’s DNADIST program by using OpenCL to exploit the great computation capability of graphic card. The GPUaccelerated DNADIST program achieves more than 12-fold speedup over the serial CPU program on a personal workstation […]

A plugin system for GPGPU real time audio effect calculation on the graphics processing unit of the computer system is presented. The prototype application is the rendering of mono audio material with head-related transfer functions (HRTFs) to create the impression of a sound source located in a certain direction relative to the listener’s head. The […]

In this paper we present steps towards the automatic detection of vulnerable road users in video. Such a system can e.g. be used as an automatic blind spot camera for trucks. The aim of the system is to automatically warn the driver when the algorithm detects vulnerable road users in the camera images. Such an […]

Image registration is a fundamental step in many applications involving image analysis. It consists of optimizing a similarity metric to find a spatial transformation to match two images (in 3D). It has application in medical images to build atlases (registering a population), or to align a patient to a template to detect pathologies. The main […]