Posts
Nov, 7
Functional Programming for High-Performance Computing on Heterogeneous Architectures
Heterogeneous architectures become dominant in high-performance computing platforms but programming them remains really hard, especially because high-performance programs are usually written using low-level languages (C, Fortran, OpenMP…) and frameworks (CUDA, OpenCL…). Mid-level frameworks have been introduced to automatically perform management of distributed memory and scheduling on different devices, allowing applications to only submit tasks and […]
Nov, 7
Fast TV-L1 Optical Flow for Interactivity
Vision is a natural tool for human-computer interaction, since it pro- vides visual feedback to the user and mimics some human behaviors. It requires however the fast and robust computation of motion primi- tives, which remains a difficult problem. In this work, we propose to apply some recent mathematical results about convex optimization to the […]
Nov, 7
Keeneland: Bringing heterogeneous GPU computing to the computational science community
The Keeneland project’s goal is to develop and deploy an innovative, GPU-based high-performance computing system for the NSF computational science community.
Nov, 7
A GPU accelerated interactive interface for exploratory functional connectivity analysis of fMRI data
Functional connectivity analysis is a way to investigate how different parts of the brain are connected and interact. A common measure of connectivity is the temporal correlation between a reference voxel time series and all the other time series in a functional MRI data set. An fMRI data set generally contains more than 20,000 within-brain […]
Nov, 7
Acceleration of physics simulation engine through OpenCL
Nowadays, physics simulation is a relevant topic in several domains, from scientific areas like medicine to entertainment purposes such as movie’s effects, computer animation and games. To make easier the production of faster simulations, developers are using physics engines because they provide a variety of features like rigid and deformable body simulation, fluids dynamics and […]
Nov, 7
Computer Simulation of Dark Matter Effects on Galaxy Rotation
The main goal of this project is to develop a computer program to model the rotation of a galaxy including dark matter. The computer program will be used to answer these questions: (1) How does dark matter affect rotational curves in galaxies; (2) how accurately can this be modeled; (3) what will happen when the […]
Nov, 7
Fast Computation of Dipole Radiation in Stratified Background Using Graphics Processing Unit
We present the GPUs computation acceleration for a very recurrent electromagnetic problem which is the calculation of the field radiated by electric dipoles in a multilayer structure (Green’s tensor in stratified background), based on the well-known Sommerfeld integrals. Using an optimized parallelization scheme, huge computation acceleration is obtained. Applications of such a work are very […]
Nov, 7
Vergence Using GPU Cepstral Filtering
Vergence ability is an important visual behavior observed on living creatures when they use vision to interact with the environment. The notion of active observer is equally useful for robotic vision systems on tasks like object tracking, fixation and 3D environment structure recovery. Humanoid robotics are a potential playground for such behaviors. This paper describes […]
Nov, 7
GPU-accelerated Convex Multi-phase Image Segmentation
Image segmentation is a key area of research in computer vision. Recent advances facilitated reformulation of the non-convex multi-phase segmentation problem as a convex optimization problem (see for example [2, 4, 9, 10, 13, 16]). Recently, [3] proposed a new convex relaxation approach for a class of vector-valued minimization problems, and this approach is directly […]
Nov, 6
Real-time Sliding Phase Vocoder using a Commodity GPU
We describe a new approach to the processing of audio by way of transformations to and from the frequency domain. In previous papers we described the Sliding Discrete Fourier Transform (SDFT), comprising an extension to the classic phase vocoder algorithm to perform a frame update every sample. We proposed this as offering musical advantages over […]
Nov, 6
Parallelization of algorithms for solving the Boltzmann equation for GPU-based computations
The paper describes specific features of parallelization of collision integral computation algorithms, which are conditioned by the CUDA architecture of parallelization on graphic cards [1].
Nov, 6
The conjugate gradient solver accelerated by GPU for solving wave-propagation problems
There are several possibilities to speed-up an iterative solver, e.g. by applying an efficient preconditioner to decrease the number of required iterations, or by parallelizing the given algorithm, etc. To acquire maximum performance from a massively parallelized environment, different parts of such a solver must be asynchronously parallelized to avoid expensive cooperation between threads. The […]
