high performance computing on graphics processing units: hgpu.org

This paper shows approaches to accelerate pixel-level image fusion speed using graphics hardware. Recently, to improve visibility through maximization of information collected through development of various sensors and improvement of sensing technology, the importance of not only development of new fusion algorithm but speed of fusion process is increasing. Though specialized fusion boards for real […]

In this paper, we propose an optimization system based on the fast electromagnetic field solver and metaheuristics for reducing electromagnetic interference (EMI) on electronic control unit (ECU). We adopt simulated annealing (SA), genetic algorithm (GA) and taboo search (TS) to seek optimal solutions, and the finite difference time domain (FDTD) method with general purpose computing […]

Our work describes the simulation of a planar network of spiking I/F neurons on graphics processing hardware. The described approach adds to the fast-growing field of general-purpose computation on GPUs (GPGPU). We provide an in-depth explanation of the steps involved in implementing the network using programmable shading hardware. We replicated simulation results by Hopfield et […]

Software defined radios (SDRs) are increasingly attractive to replace common hardware solutions. Using desktop computers for executing software defined radio receivers in real time is not common or even achievable due to the huge amount of processing resources required. In this paper we present some measurement results using an already available general purpose graphics processing […]

A Private Information Retrieval (PIR) scheme is a protocol in which a user retrieves a record out of n from a replicated database, while hiding from the database which record has been retrieved, as long as the different replicas do not collude. A specially interesting sub-field of research, called single-database PIR, deals with the schemes […]

Summary form only given. In the past 20 years there has been an explosive growth of the variety of traded financial instruments, from European and American options to a more complex, alas ill-fated, credit derivatives. The rapid increase in computational power coupled with the use of mathematical tools for valuing these instruments and estimating the […]

With the advent of high-performance COTS clusters, there is a need for a simple, scalable and fault-tolerant parallel programming and execution paradigm. In this paper, we show that the popular MapReduce programming model can be utilized to solve many interesting scientific simulation problems with much higher performance than regular cluster computers by leveraging GPGPU accelerators […]

In this paper, we propose a method for fast generating a digital hologram using General-Purpose Computation on Graphics Processing Units (GPGPU). This method can reduce the computational time of generating a digital hologram by using the parallel processing with CUDA. And we demonstrate the effectiveness of our algorithm through a variety of experiment.

GPGPU (General Purpose computing on Graphic Processing Unit) attracts a great deal of attention, which is used for general-purpose computations like numerical calculations as well as graphic processing. In this paper, we implement Fractal image coding algorithms on GPUs by using CUDA (Compute Unified Device Architecture) and evaluate the effectiveness of the shared memory using […]

GPUs excel in parallel computations, so they are very efficient calculating the discrete cosine transform of spatial domain images, as required for video encoding. The last steps of MPEG-2 compression, however, are inherently sequential since they require a serial processing of the resulting DCT coefficients. As that can easily become a bottleneck in GPUbased video […]

trip3d is a field line simulation code that numerically integrates a set of nonlinear magnetic field line differential equations. The code is used to study properties of magnetic islands and stochastic or chaotic field line topologies that are important for designing non-axisymmetric magnetic perturbation coils for controlling plasma instabilities in future machines. The code is […]

We present new algorithms for scalable clustering using graphics processors. Our basic approach is based on k-means. By changing the order of determining object labels, and exploiting the high computational power and pipeline of graphics processing units (GPUs) for distance computing and comparison, we speed up the k-means algorithm substantially. We introduce two strategies for […]