Posts
Jun, 17
The Rhombic Dodecahedron Map: An Efficient Scheme for Encoding Panoramic Video
Omnidirectional videos are usually mapped to planar domain for encoding with off-the-shelf video compression standards. However, existing work typically neglects the effect of the sphere-to-plane mapping. In this paper, we show that by carefully designing the mapping, we can improve the visual quality, stability and compression efficiency of encoding omnidirectional videos. Here we propose a […]
Jun, 17
Coarse grain computation-communication overlap for efficient application-level checkpointing for GPUs
Graphics Processing Units (GPUs) are increasingly used to solve non-graphical scientific problems. However, it has been shown that the reliability of the GPUs is a concern because of the occurrence of the soft and hard errors. The checkpoint/restart is the most commonly used technique to achieve fault tolerance in the presence of failures. This work […]
Jun, 17
Interactive Histology of Large-Scale Biomedical Image Stacks
Histology is the study of the structure of biological tissue using microscopy techniques. As digital imaging technology advances, high resolution microscopy of large tissue volumes is becoming feasible; however, new interactive tools are needed to explore and analyze the enormous datasets. In this paper we present a visualization framework that specifically targets interactive examination of […]
Jun, 17
Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures
The introduction of General-Purpose computation on GPUs (GPGPUs) has changed the landscape for the future of parallel computing. At the core of this phenomenon are massively multithreaded, data-parallel architectures possessing impressive acceleration ratings, offering low-cost supercomputing together with attractive power budgets. Even given the numerous benefits provided by GPGPUs, there remain a number of barriers […]
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 […]
