In the last decade a new generation of telescopes and sensors has allowed the production of a very large amount of data and astronomy has become, a data-rich science; this transition is often labeled as: "data revolution" and "data tsunami". …
May 3, 2013 by hgpu
This article presents a method of implementation genetic algorithm in CUDA. Used algorithm operat on a large population and a complex genotype, so that it exceeded the size of the cache memory. It is not completely transferred to the graphics …
April 22, 2013 by hgpu
We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from our CPU serial implementation, named GAME (Genetic Algorithm Model Experiment). It was successfully tested and validated on the detection …
April 3, 2013 by hgpu
This thesis focuses on the implementations of a support vector machine (SVM) algorithm on digital signal processor (DSP), graphics processor unit (GPU), and a common Intel i7 core architecture. The purpose of this work is to identify which of the …
March 2, 2013 by hgpu
Wide amount of applications like volumetric medical data compression, video watermarking and video coding use the three-dimensional wavelet transform (3D-DWT) in their algorithms. In this work, we present GPU algorithms, based on both global and shared memory, to compute the …
January 24, 2013 by hgpu
Autonomous navigation systems used in Unmanned Aerial Vehicle (UAV) are mostly dependent on Global Positioning System (GPS) as a primary means of aiding Inertial Navigation Systems (INS) for accurate and reliable navigation. GPS, however, has limitations in terms of indoor …
December 30, 2012 by hgpu
Heterogeneous computing system increases the performance of parallel computing in many domain of general purpose computing with CPU, GPU and other accelerators. Open Computing Language (OpenCL) is the first open, royaltyfree standard for heterogenous computing on multi hardware platforms. In …
December 23, 2012 by hgpu
Ray tracing simulations are required for investigating the dynamical behavior of optical systems. By means of image simulations, an exposed image can be generated. However, this requires a high number of rays which have to be traced through an optical …
September 14, 2012 by hgpu
Fractal image compression provides immense advantages as compared to conventional image compressions. Though the fractal image encoding time is comparatively quite high as compared to the conventional ones but the decoding time is far less and almost instantaneous. Besides, fractal …
August 18, 2012 by hgpu
The challenges and benefits of using the GPU to compute solutions to Lambert’s Problem are discussed. Three algorithms (Universal Variables, Gooding’s algorithm, and Izzo’s algorithm) were adapted for GPU computation directly within MATLAB. The robustness of each algorithm was considered, …
June 16, 2012 by hgpu
Current CPU and GPU architectures heavily use data and instruction parallelism at different levels. Floating point operations are organised in vector instructions of increasing vector length. For reasons of performance it is mandatory to use the vector instructions efficiently. Several …
May 24, 2012 by hgpu
Modern computer processing units tend towards simpler cores in greater numbers, favouring the development of data-parallel applications. Evolutionary algorithms are ideal for taking full advantage of SIMD (Single Instruction, Multiple Data) processing, which is available on both CPUs and GPUs. …
May 19, 2012 by hgpu
Most viewed papers (last 30 days)
- OpenCL Performance Evaluation on Modern Multi Core CPUs
- JPEG-GPU:: a GPGPU Implementation of JPEG Core Coding Systems
- Surface Reconstruction from Scattered Point via RBF Interpolation on GPU
- Parallelization of the Ant Colony Optimization for the Shortest Path Problem using OpenMP and CUDA
- Enabling OS Research by Inferring Interactions in the Black-Box GPU Stack
- CLgrep: A Parallel String Matching Tool
- Rapid Computation of Sodium Bioscales Using GPU-Accelerated Image Reconstruction
- Using GPU Simulation to Accurately Fit to the Power-Law Distribution
- OCLoptimizer: An Iterative Optimization Tool for OpenCL
- 3DES ECB Optimized for Massively Parallel CUDA GPU Architecture
