Posts
May, 25
Optimizing Sweep3D for Graphic Processor Unit
As a powerful and flexible processor, the Graphic Processing Unit (GPU) can offer great faculty in solving many high-performance computing applications. Sweep3D, which simulates a single group time-independent discrete ordinates (Sn) neutron transport deterministically on 3D Cartesian geometry space, represents the key part of a real ASCI application. The wavefront process for parallel computation in […]
May, 25
GPU-Based Parallel Computing: A New Computational Approach and its Applications to Nuclear Engineering
Faster speed and higher accuracy are, and will always be pursued by computational scientists and engineers. To achieve these goals, single-core microprocessors were assembled to arrive at "parallel computing". This parallelism is recently extended to chiplevel with the emergence of multi- and many-core architectures-that is, roughly, adding more cores onto a single chip-in both Central […]
May, 25
Accelerating the Sweep3D for a Graphic Processor Unit
As a powerful and flexible processor, the Graphic Processing Unit (GPU) can offer a great faculty in solving many high-performance computing applications. Sweep3D, which simulates a single group time-independent discrete ordinates (Sn) neutron transport deterministically on 3D Cartesian geometry space, represents the key part of a real ASCI application. The wavefront process for parallel computation […]
May, 25
Fast, large volume, GPU enabled simulations for the Ly-alpha forest: power spectrum forecasts for baryon acoustic oscillation experiments
High redshift measurements of the baryonic acoustic oscillation scale (BAO) from large Ly-alpha forest surveys represent the next frontier of dark energy studies. As part of this effort, efficient simulations of the BAO signature from the Ly-alpha forest will be required. We construct a model for producing fast, large volume simulations of the Ly-alpha forest […]
May, 25
Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms
We present a mathematical framework for constructing and analyzing parallel algorithms for lattice Kinetic Monte Carlo (KMC) simulations. The resulting algorithms have the capacity to simulate a wide range of spatio-temporal scales in spatially distributed, non-equilibrium physiochemical processes with complex chemistry and transport micro-mechanisms. The algorithms can be tailored to specific hierarchical parallel architectures such […]
May, 24
A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter
A novel framework for acceleration of particle filtering approaches to 3D model-based, markerless visual tracking in monocular video is described. Specifically, we present a methodology for partitioning and mapping the computationally expensive weight-update stage of a particle filter to a graphics processing unit (GPU) to achieve particle- and pixel-level parallelism. Nvidia CUDA and Direct3D are […]
May, 24
A new representation of intensity atlas for GPU-accelerated instance generation
Fast instance generation is a key requirement in atlas-based registration and other problems that need a large number of atlas instances. This paper describes a new method to represent and construct intensity atlases. Both geometry and intensity information are represented using B-spline deformation lattices; intensities are approximated using the multi-level B-spline approximation algorithm during model […]
May, 24
SSE Vectorized and GPU Implementations of Arakawa’s Formula for Numerical Integration of Equations of Fluid Motion
The numerical method presented by Arakawa in 1966[3] implements a finite difference scheme of the Jacobian for the solution of the equation of motion for two-dimensional incompressible flows, which diminishes nonlinear computational instability and permits long-term numerical integrations. This paper presents an efficient implementation of Arakawa’s formula using vectorized Streaming SIMD Extension (SSE) and Advanced […]
May, 24
Parallel Computing Model of Multiple Dimensions Data Streams Canonical Correlation Analysis with GPU
With view to satisfying the requirement of real-time under the circumstance of resource-constraints, specific and practical architecture for high-dimensional data streams are proposed, meanwhile, based on CUDA (Compute Unified Device Architecture), canonical correlation analysis between two multiple dimensions data streams using data cube pattern and dimensionality-reduction technique is carried out in this framework. The theoretical […]
May, 24
GPU Rendering of the Thin Film on Paints with Full Spectrum
Spectrum-based rendering uses spectral distributions instead of just three RGB colors for representation of light sources and surface properties in rendering equation. Since, spectrum has a value at every visible wavelength, the spectrum-based rendering gives much accurate color computation compared to RGB-based rendering and it give us opportunity to simulate wavelength dependent phenomena and effects […]
May, 24
GPU-based DVB-S2 LDPC decoder with high throughput and fast error floor detection
A new strategy is proposed for implementing computationally intensive high-throughput decoders based on the long length irregular LDPC codes adopted in the DVB-S2 standard. It is supported on manycore graphics processing unit (GPU) architectures, for performing parallel multi-threaded decoding of multiple codewords with reduced accesses to global memory. This novel approach is flexible and scalable, […]
May, 24
GPU-based tolerance volumes for mesh processing
In an increasing number of applications triangle meshes represent a flexible and efficient alternative to traditional NURBS-based surface representations. Especially in engineering applications it is crucial to guarantee that a prescribed approximation tolerance to a given reference geometry is respected for any combination of geometric algorithms that are applied when processing a triangle mesh. We […]

