Posts
Oct, 9
Efficient deconvolution methods for astronomical imaging: algorithms and IDL-GPU codes
The Richardson-Lucy method is the most popular deconvolution method in astronomy because it preserves the number of counts and the non-negativity of the original object. Regularization is, in general, obtained by an early stopping of Richardson-Lucy iterations. In the case of point-wise objects such as binaries or open star clusters, iterations can be pushed to […]
Oct, 8
Learning hash codes for efficient content reuse detection
Content reuse is extremely common in user generated mediums. Reuse detection serves as be the basis for many applications. However, along with the explosion of Internet and continuously growing uses of user generated mediums, the task becomes more critical and difficult. In this paper, we present a novel efficient and scalable approach to detect content […]
Oct, 8
Realtime Two-Way Coupling of Meshless Fluids and Nonlinear FEM
In this paper, we present a novel method to couple Smoothed Particle Hydrodynamics (SPH) and nonlinear FEM to animate the interaction of fluids and deformable solids in real time. To accurately model the coupling, we generate proxy particles over the boundary of deformable solids to facilitate the interaction with fluid particles, and develop an efficient […]
Oct, 8
Measuring the Performance of Realtime DSP Using Pure Data and GPU
In order to achieve greater amounts of computation while lowering the cost of artistic and scientific projects that rely on realtime digital signal processing techniques, it is interesting to study the performance of commodity parallel processing GPU cards coupled with commonly used software for realtime DSP. In this article, we describe the measurement of data […]
Oct, 8
GPU Accelerated NIDS Search
Network Intrusion Detection System (NIDS) analyzes network traffic for malicious activities and report’s findings from events that intend to compromise the security of the computers and other equipment. NIDS looks into both headers and payloads of the network packets to identify possible intrusions. NIDS models that only use Central Processing Units (CPU) such as the […]
Oct, 8
CUTE solutions for two-point correlation functions from large cosmological datasets
In the advent of new large galaxy surveys, which will produce enormous datasets with hundreds of millions of objects, new computational techniques are necessary in order to extract from them any two-point statistic, the computational time of which grows with the square of the number of objects to be correlated. Fortunately technology now provides multiple […]
Oct, 6
GPGPU accelerated optimization method of Interconnection Network Topology
The optimization of the irregular connection network of the multiprocessor systems with the distributed memory is the NP complete problem which is generally compute-intensive process. Graphics processing units provide a large computational power at a very low price allowing the fine-grained parallelism. This work investigates the use of the GPU in the parallelisation of the […]
Oct, 6
Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters
This paper presents a design for parallel processing of synthetic aperture radar (SAR) data using multiple Graphics Processing Units (GPUs). Our approach supports real-time reconstruction of a two-dimensional image from a matrix of echo pulses and their response values. Key to runtime efficiency is a partitioning scheme that divides the output image into tiles and […]
Oct, 6
Architectural explorations for streaming accelerators with customized memory layouts
The basic concept behind the architecture of a general purpose CPU core conforms well to a serial programming model. The integration of more cores on a single chip helped CPUs in running parts of a program in parallel. However, the utilization of huge parallelism available from many high performance applications and the corresponding data is […]
Oct, 6
Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster
Multidimensional scaling (MDS) is a very popular and reliable method used in feature extraction and visualization of multidimensional data. The role of MDS is to reconstruct the topology of an original N-dimensional feature space consisting of M feature vectors in target 2-D (3-D) Euclidean space. It can be achieved by minimization of the error – […]
Oct, 6
An Efficient GPU Implementation of Modified Discrete Cosine Transform Using CUDA
A new method is presented in this paper for using general purpose programming tools of graphics processing units. It aims to calculate the modified discrete cosine transform in audio coding and compression algorithms for popular audio formats such as MP3, AAC/AC-3, and WMA. The proposed algorithm consists of matrix multiplications that are performed by the […]
Oct, 5
Accelerated protein structure comparison using TM-score-GPU
MOTIVATION: Accurate comparisons of different protein structures play important roles in structural biology, structure prediction and functional annotation. The root-mean-square-deviation (RMSD) after optimal superposition is the predominant measure of similarity due to the ease and speed of computation. However, global RMSD is dependent on the length of the protein and can be dominated by divergent […]
