high performance computing on graphics processing units: hgpu.org

Cardiovascular disease is the number one cause of death today in developed countries and is projected to remain so. Cardiac intervention is a minimally invasive solution to diagnose and treat the disease. Training of young cardiologists is playing an important role towards quality cardiac healthcare. The advance of interactive and graphics technologies has offered a […]

Although trivial background subtraction (BGS) algorithms (e.g. frame differencing, running average…) can perform quite fast, they are not robust enough to be used in various computer vision problems. Some complex algorithms usually give better results, but are too slow to be applied to real-time systems. We propose an improved version of the Extended Gaussian mixture […]

This paper presents the parallelization of grid-based recursive Bayesian estimation (RBE) using a graphics processing unit (GPU) for real-time control of autonomous vehicles. Although the grid-based method has been effectively used for autonomous search due to its ability to represent search space explicitly, heavy computational load has been a bottleneck for real-time application similarly to […]

Recently, GPU has evolved into a highly parallel, multithreading, many core processor with tremendous computational capability and very high memory bandwidth. At the same time, multi-core CPU evolution continued and today’s CPUs have 4-8 cores which offer dramatically increased performance and power savings characteristics. We are aware of very few works that consider both devices […]

We present a statistical approach for estimating power consumption of GPU kernels. We use the GPU performance counters that are exposed for CUDA applications, and train a linear regression model where performance counters are used as independent variables and power consumption is the dependent variable. For model training and evaluation, we use publicly available CUDA […]

Most haptic libraries allow user to feel the resistance of a flexible virtual object by the implementation of a point-based collision detection algorithm and a spring-damper model. Even though the user can feel the deformation at the contact point, the graphics library renders a rigid geometry, causing a conflict of senses in the user’s mind. […]

In this paper an efficient solution of large scale, interactive terrain visualization is proposed based on graphic hardware. The method of multi-thread is adopted to resolve the bottle-neck problem of data fetching from the external memory, and the methods of level of details (LODs) based on view-dependent and mesh rendering in graphics programmable units (GPU) […]

In this paper, we implement a hybrid combustion model which incorporates the fire simulation and solid burning together. To achieve real-time performance, GPU is used to solve the Navier-Stokes equations with CUDA programming, also used to visualize the turbulent fire. Experiment results prove our method’s efficiency.

Modern graphics cards are supported with powerful computational facilities for fast computation of vertex geometry and realistic rendering of 3D graphics. The introduction of programmable pipeline in the graphics processing units (GPU) has enabled configurability. GPU which is available in every computer has a tremendous feat of highly parallel SIMD processing, but its capability is […]

By growing power and flexibility of modern GPU, hardware based volume rendering techniques show their great powers in accelerating rendering. In this paper, we propose a 3D texture base algorithm with local phong lighting model. It load medical image series as volume data, then creates 3D texture from the volume data, then setups and renders […]

In this paper,a scalable graphics processing unit (GPU) cluster solution for the acceleration of FDTD for large-scale simulations is proposed. The hardware and software implementations are described. To illustrate the speed performance of the cluster, the simulation results of a cubic resonator with PEC boundaries is presented. A realistic large-scale simulation performed using SEMCAD X […]

Embedded electronic devices like mobile phones and automotive control units must perform under strict timing constraints. As such, schedulability analysis constitutes an important phase of the design cycle of these devices. Unfortunately, schedulability analysis for most realistic task models turn out to be computationally intractable (NP-hard). Naturally, in the recent past, different techniques have been […]