Posts
Jun, 17
A Memory Centric Kernel Framework for Accelerating Short-Range, Interactive Particle Simulation
To maximize the performance of emerging multi- and many-core accelerators such as the IBM Cell B.E. and the NVIDIA GPU, a Memory Centric Kernel Framework (MCKF) was developed. MCKF allows a user to decompose the physical space of an application based on the available fast memory in the accelerators. In this way, reducing the communication […]
Jun, 16
GPGPU-based Gaussian Filtering for Surface Metrological Data Processing
Engineering surfaces are characterized by the form, waviness and roughness features that are comprised of a range of spatial wavelengths. Filtering techniques are commonly adopted to separate these different wavelength components into well-defined bandwidths for further processing. The Gaussian filtered surface in which a 2D Gaussian filter is employed for surface assessments has been recommended […]
Jun, 16
Efficient High-Quality Volume Rendering of SPH Data
High quality volume rendering of SPH data requires a complex order-dependent resampling of particle quantities along the view rays. In this paper we present an efficient approach to perform this task using a novel view-space discretization of the simulation domain. Our method draws upon recent work on GPU-based particle voxelization for the efficient resampling of […]
Jun, 16
Adapting MoM with RWG Basis Functions to GPU Technology Using CUDA
In this paper, a CUDA-enabled GPU accelerated implementation of Method of Moments (MoM) for solving three dimensional conducting body-wire problems is presented. The solution is based on the Mixed Potential Integral Equation (MPIE) discretized using Rao-Wilton-Glisson (RWG) basis functions. The CUDA environment is employed to port a single-CPU sequential code to the parallel GPU platform, […]
Jun, 16
Architecture, Design, and Experimental Evaluation of a Lightfield Descriptor Depth Buffer Algorithm on Reconfigurable Logic and on a GPU
The Light field descriptor method for 3D computer graphics offers the highest quality object retrieval from a database at the expense of higher storage and computational cost vs. other methods. This paper presents two special purpose architectures, based on FPGAs and GPUs, for the depth buffer extraction algorithm which is used by the Light field […]
Jun, 16
Iris recognition on GPU with the usage of Non-Negative Matrix Factorization
In this paper, we describe an alternative method of the recognition of human irises with the usage of Non-Negative Matrix Factorization. The proposed method has been implemented on graphic processor unit (GPU) which makes the method usable in the real world due to short computation time.
Jun, 16
Potential of General Purpose Graphic Processing Unit for Energy Management System
This paper investigates the potential of General Purpose Graphic Processing Unit (GPGPU) for the serve rand HMI parts of Energy Management System (EMS). TheHMI investigation focuses on the applicability and performance improvement of GPGPU for scattered data interpolation algorithms typically used to visually represent the overall state of a power network. The server side investigation […]
Jun, 16
Using the PhysX engine for physics-based virtual surgery with force feedback
BACKGROUND: The development of modern surgical simulators is highly challenging, as they must support complex simulation environments. The demand for higher realism in such simulators has driven researchers to adopt physics-based models, which are computationally very demanding. This poses a major problem, since real-time interactions must permit graphical updates of 30 Hz and a much […]
Jun, 16
Brownian dynamics simulations on CPU and GPU with BD_BOX
Abstract There has been growing interest in simulating biological processes under in vivo conditions due to recent advances in experimental techniques dedicated to study single particle behavior in crowded environments. We have developed a software package, BD_BOX, for multiscale Brownian dynamics simulations. BD_BOX can simulate either single molecules or multicomponent systems of diverse, interacting molecular […]
Jun, 16
High-Performance Monte Carlo Radiosity on GPU based on Scene Partitioning
The recent interest in GPGPU, (General-Purpose computation on Graphics Processing Unit), has stimulated improvements in the programmability of the GPU. Although the utilization of new languages like OpenCL and CUDA facilitate GPU programming, different challenges have to be overcome to optimize the results of a direct implementation. Specifically, a straightforward implementation of the Monte Carlo […]
Jun, 16
Single Chain Slip-Spring Model for Fast Rheology Simulations of Entangled Polymers on GPU
We propose a single chain slip-spring model, which is based on the slip-spring model by Likhtman [A. E. Likhtman, Macromolecules, 38, 6128 (2005)], for fast rheology simulations of entangled polymers on a GPU. We modify the original slip-spring model slightly for efficient calculations on a GPU. Our model is designed to satisfy the detailed balance […]
Jun, 15
Parallel cross-layer optimization of high-level synthesis and physical design
Integrated circuit (IC) design automation has traditionally followed a hierarchical approach. Modern IC design flow is divided into sequentially-addressed design and optimization layers; each successively finer in design detail and data granularity while increasing in computational complexity. Eventual agreement across the design layers signals design closure. Obtaining design closure is a continual problem, as lack […]
