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Posts

Apr, 23

Introduction to GPU Computing and CUDA Programming: A Case Study on FDTD [EM Programmer’s Notebook]

The recent advent of general-purpose graphics-processing units (GPGPUs) as inexpensive arithmetic-processing units brings a relevant amount of computing power to modern desktop PCs. This thus providing an interesting pathway to the acceleration of several numerical electromagnetic methods. In this paper, we explain how to exploit GPGPU features by examining how the computational time of the […]
Apr, 23

Accelerating Multi-Sensor Image Fusion Using Graphics Hardware

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 […]
Apr, 23

Design optimization of automotive electronic control unit using the analysis of common-mode current by fast electromagnetic field solver

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 […]
Apr, 23

Using parallel GPU architecture for simulation of planar I/F networks

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 […]
Apr, 22

Scalable software defined receivers running on desktop computers using General Purpose Graphics Processing Units

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 […]
Apr, 22

High-Speed Private Information Retrieval Computation on GPU

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 […]
Apr, 22

Challenges of mapping financial analytics to many-core architecture

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 […]
Apr, 22

MITHRA: Multiple data independent tasks on a heterogeneous resource architecture

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 […]
Apr, 22

Fast generating of a digital hologram using general-purpose computation on graphics processing units

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.
Apr, 22

Preliminary implementation of two parallel programs for fractal image coding on GPUs

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 […]
Apr, 22

Parallel Zigzag Scanning and Huffman Coding for a GPU-based MPEG-2 Encoder

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 […]
Apr, 22

Accelerating the numerical simulation of magnetic field lines in tokamaks using the GPU

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 […]

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