high performance computing on graphics processing units: hgpu.org

Muscle-based skin deformation could produce detailed visual quality. However, it always requires tedious labor work and the rendering speed is usually slow. In this paper, we propose a fast skin deformation method based on the common three-layer model, including skeleton, muscle and skin layer. First, Skeleton-driven smooth skinning technique is adopted to get the basic […]

The medical training systems based on virtual simulation are highly desired since minimally invasive surgical techniques have become popular to patients. The training system helps surgeon trainees to acquire, practice and evaluate their surgical skills, and the key component of such a system is to simulate the dynamic procedure such as 3D biological tissue deformation […]

The merging of multiple range images obtained by 3D measurement systems for generating a single polygon mesh, and processing for filling holes caused by unmeasured data or insufficient range images are essential processes for CAD, digital archiving of shapes, and CG rendering. Many of the existing processes that have been proposed for merging and interpolating […]

The Siggraph/Eurographics Graphics Hardware 2003 workshop, held in San Diego, will likely be remembered as a turning point in modern computing. In one of those rare moments when a new paradigm visibly begins changing general-purpose computing’s course, what has traditionally been a graphics-centric workshop shifted its attention to the nongraphics applications of the graphics processing […]

To overcome the limitations of triangle and point based surfaces several authors have recently investigated surface representations that are based on higher order primitives. Among these are MPU, SLIM surfaces, dynamic skin surfaces and higher order iso-surfaces. Up to now these representations were not suitable for interactive applications because of the lack of an efficient […]

The aim of this paper is the efficient use of CPU and GPU clusters for a general path-dependent exotic European pricing, and their comparison in terms of speed and energy consumption. To reach our goal, we propose a parallel random number generator which is well suited to the parallelization paradigm, then, we implement a multidimensional […]

Ant Colony Optimization is computationally expensive when it comes to complex problems. The Jacket toolbox allows implementation of MATLAB programs in Graphics Processing Unit (GPU). This paper presents and implements a parallel MAX-MIN Ant System (MMAS) based on a GPU+CPU hardware platform under the MATLAB environment with Jacket toolbox to solve Traveling Salesman Problem (TSP). […]

The history of humanity is that we strive to use better tools and knowledge to build even better tools, and extend further the border of knowledge. In the past 50 years, CPU, as a dominant paradigm for computing, has provided exponential growth as predicted by Moore’s Law with remarkable accuracy. We have been leveraging CPUs […]

In this paper, we present a framework for efficiently integrating programming resources of both GPU and CPU. We introduce an object oriented framework for GPGPU-based image processing. We illustrate a set of classes exploiting the design and programming advantages of an object oriented language, such as code reusability/extensibility, flexibility, information hiding, and complexity hiding. This […]

The Fermi GF100 is a GPU architecture that provides several new capabilities beyond the Nvidia GT200 or Tesla architecture. The Fermi architecture offers up to 512 CUDA cores and special features for gaming and high-performance computing. This article describes the GPU’s new capabilities for tessellation, physics processing, and computational graphics.

The computation of an electromagnetic reflectivity image from a set of radar returns is a computationally intensive process. Therefore, the use of high performance computing is required to form images from radar signals in a short time frame. This paper explores the use of distributed memory cluster computers and accelerator technologies such as GPUs for […]

In this paper, we propose a novel floor planning algorithm for GPUs. Floor planning is an inherently sequential algorithm, far from the typical programs suitable for Single Instruction Multiple Thread (SIMT) style concurrency in a GPU. We propose a fundamentally different approach of exploring the floor plan solution space, where we evaluate concurrent moves on […]