high performance computing on graphics processing units: hgpu.org

Graphics Processing Units (GPUs) are massively parallel, many-core processorswith tremendous computational power and very high memory bandwidth. GPUs areprimarily designed for accelerating 3D graphics applications on modern computersystems and are therefore, specialized for highly data parallel, compute intensiveproblems, unlike general-purpose CPUs. In recent times, there has been significantinterest in finding ways to accelerate general purpose […]

Graphics Processing Units (GPUs) are massively parallel, many-core processors with tremendous computational power and very high memory bandwidth. With the advent of general purpose programming models such as NVIDIA’s CUDA and the new standard OpenCL, general purpose programming using GPUs (GPGPU) has become very popular. However, the GPU architecture and programming model have brought along […]

In some sense, computer graphics and computer vision are inverses of one another. Special purpose computer vision hardware is rarely found in typical mass-produced personal computers, but graphics processing units (GPUs) found on most personal computers, often exceed (in number of transistors as well as in compute power) the capabilities of the Central Processing Unit […]

This paper deals with using tools commonly available to programmers to implement the finite difference time domain (FDTD) calculations using video cards. In the past few years developments in the field of graphic processing units (CPU’s) for video cards have vastly outpaced their general central processing unit (CPU) counterparts. As specifically applied to vector mathematic […]

Quantum Monte Carlo (QMC) is among the most accurate methods for solving the time independent Schrodinger equation. Unfortunately, the method is very expensive and requires a vast array of computing resources in order to obtain results of a reasonable convergence level. On the other hand, the method is not only easily parallelizable across CPU clusters, […]

Molecular dynamics (MD) simulation is a powerful computational tool to studythe behavior of macromolecular systems. But many simulations of this field arelimited in spatial or temporal scale by the available computational resource.In recent years, graphics processing unit (GPU) provides unprecedentedcomputational power for scientific applications. Many MD algorithms suit withthe multithread nature of GPU. In this […]

Efficient and accurate techniques for simulation of soft tissue deformation are an increasingly valuable tool in many areas of medical image computing, such as biomechanically-driven image registration and interactive surgical simulation. For reasons of efficiency most analyses are based on simplified linear formulations, and previously almost all have ignored well established features of tissue mechanical […]

PMID: 18229900 The modification of a general purpose code for quantum mechanical calculations of molecular properties (Q-Chem) to use a graphical processing unit (GPU) is reported. A 4.3x speedup of the resolution-of-the-identity second-order MollerPlesset perturbation theory (RI-MP2) execution time is observed in single point energy calculations of linear alkanes. The code modification is accomplished using […]

We study the feasibility of using Graphics Processing Units (GPUs) for cryptographic processing, by exploiting the ability for GPUs to simultaneously process large quantities of pixels, to offload symmetric key encryption from the main processor. We demonstrate the use of GPUs for applying the key stream when using stream ciphers. We also investigate the use […]

Modern programmable GPUs represent a vast potential in terms of performance and visual flexibility for information visualization research, but surprisingly few applications even begin to utilize this potential. In this paper, we conjecture that this may be due to the mismatch between the high-level abstract data types commonly visualized in our field, and the low-level […]

Repeated acquisitions of computed tomography and magnetic resonance imaging are increasingly used during radiotherapy treatment to accurately deliver radiation while limiting side effects. This is only feasible however after all acquisitions have been correlated to a single reference scan using a deformable registration method. This paper presents a parallel implementation of one such method, the […]

Discrete wavelet transform (DWT) has been heavily studied and developed in various scientific and engineering fields. Its multiresolution and locality nature facilitates applications requiring progressiveness and capturing high-frequency details. However, when dealing with enormous data volume, its performance may drastically reduce. On the other hand, with the recent advances in consumer-level graphics hardware, personal computers […]