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Posts

Mar, 25

Interpolation with Radial Basis Functions on GPGPUs using CUDA

This report gives a brief introduction to the interpolation with radial basis functions and it’s application to the deformation of computational grids. The FGP algorithm is quoted as an iterative method for the calculation of the interpolation coefficients. A multipole method is described for the efficient approximation of the required matrix-vector product. Results are presented […]
Mar, 25

Distortion correction algorithm for UAV remote sensing image based on CUDA

In China, natural disasters are characterized by wide distribution, severe destruction and high impact range, and they cause significant property damage and casualties every year. Following a disaster, timely and accurate acquisition of geospatial information can provide an important basis for disaster assessment, emergency relief, and reconstruction. In recent years, Unmanned Aerial Vehicle (UAV) remote […]
Mar, 24

2014 5th International Conference on Software and Computing Technology, ICSCT 2014

Submission Deadline: 2014-06-10 Publication: All accepted papers that are registered and presented of ICSCT 2014 will be published in WIT Transactions on Information and Communication Technologies (ISSN: 1743-3517), which will be indexed by EI Compendex, Scopus and ISI. Call for Paper: AI and Knowledge based software engineering Artificial Intelligence Aspect-orientation and feature interaction Business Process […]
Mar, 24

The orthorectified technology for UAV aerial remote sensing image based on the Programmable GPU

The increasingly heterogeneous modern hardware landscape is forcing database vendors to rethink basic design decisions: With more and more architectures to support, the traditional approach of building on hand-tuned operators might simply become too cost- and labor-intensive. With this problem in mind, we introduced the notion of a hardware-oblivious database engine, which avoids device-specific optimizations […]
Mar, 24

Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine

The increasingly heterogeneous modern hardware landscape is forcing database vendors to rethink basic design decisions: With more and more architectures to support, the traditional approach of building on hand-tuned operators might simply become too cost- and labor-intensive. With this problem in mind, we introduced the notion of a hardware-oblivious database engine, which avoids device-specific optimizations […]
Mar, 24

High-Performance Image Synthesis for Radio Interferometry

A radio interferometer indirectly measures the intensity distribution of the sky over the celestial sphere. Since measurements are made over an irregularly sampled Fourier plane, synthesising an intensity image from interferometric measurements requires substantial processing. Furthermore there are distortions that have to be corrected. In this thesis, a new high-performance image synthesis tool (imaging tool) […]
Mar, 23

An unsupervised parallel genetic cluster algorithm for graphics processing units

During times of stock market turbulence, monitoring the intraday clustering behaviour of financial instruments allows one to better understand market characteristics and systemic risks. While genetic algorithms provide a versatile methodology for identifying such clusters, serial implementations are computationally intensive and can take a long time to converge to the global optimum. We implement a […]
Mar, 23

Computer Vision Accelerators for Mobile Systems based on OpenCL GPGPU Co-Processing

In this paper, we present an OpenCL-based heterogeneous implementation of a computer vision algorithm — image inpainting-based object removal algorithm — on mobile devices. To take advantage of the computation power of the mobile processor, the algorithm workflow is partitioned between the CPU and the GPU based on the profiling results on mobile devices, so […]
Mar, 23

Fast GPGPU-Based Elliptic Curve Scalar Multiplication

This paper presents a fast implementation to compute the scalar multiplication of elliptic curve points based on a General-Purpose computing on Graphics Processing Units (GPGPU) approach. A GPU implementation using Dan Bernstein’s Curve25519, an elliptic curve over a 255-bit prime field complying with the new 128-bit security level, computes the scalar multiplication in less than […]
Mar, 22

Accelerating Low-Fidelity Aerodynamic Codes

Low-fidelity aerodynamic codes, including panel, lifting line and vortex lattice methods, are used in the preliminary aerodynamic studies in the early stages of the aircraft design and constitute an important and compute-intensive part of aircraft design process. This preliminary design phase is usually very time consuming as it involves parametric studies counting tens of Excellent […]
Mar, 22

CUDA Implementation of a Lattice Boltzmann Method and Code Optimization

We study fluid flow in a 2D lid driven cavity for large Reynolds numbers using multirelaxation time – Lattice Boltzmann Method(LBM). LBM is an alternative to conventional CFD methods that solve Navier-Stokes equations to simulate incompressible fluid dynamics. In LBM, one solves the linearized Boltzmann equation on a discrete lattice to study spatio-temporal evolution of […]
Mar, 22

Applying GPU Dynamic Parallelism to High-Performance Normalization of Gene Expressions

High-density oligonucleotide microarrays allow several millions of genetic markers in a single experiment to be observed. Current bioinformatics tools for gene expression quantile data normalization are unable to process such huge data sets. In parallel with this reality, the huge volume of molecular data produced by current high-throughput technologies in modern molecular biology has increased […]

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