high performance computing on graphics processing units: hgpu.org

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 […]

Visual attention is a complex concept that includes many processes to find the region of concentration in a visual scene. In this paper, we discuss a spatio-temporal visual saliency model where the visual information contained in videos is divided into two types: static and dynamic that are processed by two separate pathways. These pathways produce […]

CUDA is a platform developed by Nvidia for general purpose computing on Graphic Processing Unit to utilize the parallelism capabilities. Serpent encryption is considered to have high security margin as its advantage; however it lacks in speed as its disadvantage. We present a methodology for the transformation of CPU-based implementation of Serpent encryption algorithm (in […]

Graphics Processing Units (GPUs) are being used in many areas of physics, since the performance versus cost is very attractive. The GPUs can be addressed by CUDA which is a NVIDIA’s parallel computing architecture. It enables dramatic increases in computing performance by harnessing the power of the GPU. We present a performance comparison between the […]

DNA analysis is an emerging application of high performance bioinformatics. Modern sequencing machinery are able to provide, in few hours, large input streams of data which needs to be matched against exponentially growing databases of known fragments. The ability to recognize these patterns effectively and fastly may allow extending the scale and the reach of […]