high performance computing on graphics processing units: hgpu.org

An algorithm for evolving neural network via the genetic algorithm based on GPU parallel architecture was implemented on the CUDA, resulting in a system called CuParcone (CUDA based Partially Connected Neural Evolutionary) and was used on gender face recognition. By using the powerful ability of GPU parallel computing, CuParcone achieves a performance increase about 323 […]

Spatial-multiplex autostereoscopic systems display images interleaved from multi-view to provide adequate viewing zone sections for multiple users. The traditional methods render multiple views in multiple passes. In this paper, we present a GPU-based multi-view render (GBMVR) for spatial-multiplex autostereoscopic displays. It generates multiple views as textures in only one pass through the geometry shader and […]

Researchers built the EcoG GPU-based cluster to show that a system can be designed around GPU computing and still be power efficient.

The simulation of diffusion by Monte Carlo methods is often essential to describing NMR measurements of diffusion in porous media. However, simulation timescales must often span hundreds of milliseconds, with large numbers of trajectories required to ensure statistical convergence. Here we demonstrate that by parallelising code to run on graphics processing units (GPUs), these calculations […]

Massive convolution is the basic operation in multichannel acoustic signal processing. This field has experienced a major development in recent years. One reason for this has been the increase in the number of sound sources used in playback applications available to users. Another reason is the growing need to incorporate new effects and to improve […]

The MD4-family algorithms have been widely applied in cryptographic field. Nowadays, it is discovered that MD4-family algorithms are also suitable for random number generators. Since the MD4-family algorithms are computing intensive, they can be accelerated on Graphics Processing Units (GPUs) to generate massive high-quality random numbers. This paper presents acceleration of MD4-family algorithms based on […]

Volume reconstruction by backprojection is the computational bottleneck in many interventional clinical computed tomography (CT) applications. Today vendors in this field replace special purpose hardware accelerators by standard hardware like multicore chips and GPGPUs. This paper presents low-level optimizations for the backprojection algorithm, guided by a thorough performance analysis on four generations of Intel multicore […]

A comparative simulation study of polymer brushes formed by grafting at a planar surface either flexible linear polymers (chain length $N_L$) or (non-catenated) ring polymers (chain length $N_R=2 N_L$) is presented. Two distinct off-lattice models are studied, one by Monte Carlo methods, the other by Molecular Dynamics, using a fast implementation on graphics processing units […]

This paper is devoted to pricing American options using Monte Carlo and the Malliavin calculus. Unlike the majority of articles related to this topic, in this work we will not use localization fonctions to reduce the variance. Our method is based on expressing the conditional expectation E[f(St)/Ss] using the Malliavin calculus without localization. Then the […]

Particle system is an efficient approach to simulate fountain effect. Presently, a few of existent approaches are with the problems, such as complex and time-consuming in their algorithms, not vivid in their effects. This paper, presents a simulation approach based on particle system to the three-dimension fountain and realizes it on GPU. The basic idea […]

This article presents the application of parallel computing techniques using a Graphics Processing Unit (GPU)in order to improve the computational efficiency of a ray tracing algorithm. Three different GPU implementations of the ray tracing algorithm are presented. The experimental evaluation of the proposed methods demonstrates that a significant reduction of the computing time can be […]

List-mode processing provides an efficient way to deal with sparse projections in iterative image reconstruction for emission tomography. An issue often reported is the tremendous amount of computation required by such algorithm. Each recorded event requires several back- and forward line projections. We investigated the use of the programmable graphics processing unit (GPU) to accelerate […]