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Program optimization space pruning for a multithreaded GPU,” in

by Shane Ryoo , Christopher I Rodrigues , Sam S Stone , Sara S Baghsorkhi , Sain-Zee Ueng , John A Stratton , Wen-Mei W Hwu - Proc. 6th Ann. IEEE/ACM Intl. Symp. Code Generation and Optimization, , 2008
"... ABSTRACT Program optimization for highly-parallel systems has historically been considered an art, with experts doing much of the performance tuning by hand. With the introduction of inexpensive, single-chip, massively parallel platforms, more developers will be creating highly-parallel application ..."
Abstract - Cited by 85 (9 self) - Add to MetaCart
. This paper shows the complexity involved in optimizing applications for one such system and one relatively simple methodology for reducing the workload involved in the optimization process. This work is based on one such highly-parallel system, the GeForce 8800 GTX using CUDA. Its flexible allocation

GPU Ray Casting

by Ricardo Marques, Dep Informática, Peter Leškovský, Céline Paloc, Luís Paulo Santos
"... For many applications, such as walk-throughs or terrain visualization, drawing geometric primitives is the most efficient and effective way to represent the data. In contrast, other applications require the visualization of data that is inherently volumetric. For example, in biomedical imaging, it m ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
, it might be necessary to visualize 3D datasets obtained from CT or MRI scanners as a meaningful 2D image, in a process called volume rendering. As a result of the popularity and usefulness of volume data, a broad class of volume rendering techniques has emerged. Ray casting is one of these techniques

Parallel face Detection and Recognition on GPU

by Shivashankar J. Bhutekar, Arati K. Manjaramkar
"... Abstract — Human face detection and recognition finds various application in domain like Surveillance, Law Enforcement, Interactive game application etc. These application requires fast image processing in real time however with the proposed work earlier does not gives that capability. In this paper ..."
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. In this paper we have proposed technique that process image for face detection and recognition in parallel on NVIDIA GeForce GTX 770 GPU which has compute Capability of 3.0. We have used Viola and Jones for face detection and PCA Eigenfaces algorithm for face recognition. The viola and jones shown result

An integrated software system for analyzing ChIP-chip and ChIP-seq

by Hongkai Ji, Hui Jiang, Wenxiu Ma, David S Johnson, Richard M Myers, Wing H Wong , 2008
"... We present CisGenome, a software system for analyzing genome-wide chromatin immunoprecipitation (ChIP) data. CisGenome is designed to meet all basic needs of ChIP data analyses, including visualization, data normalization, peak detection, false discovery rate computation, gene-peak association, and ..."
Abstract - Cited by 166 (5 self) - Add to MetaCart
by either genome tiling array analysis (ChIP-chip) 1–3 or massively parallel sequencing (ChIP-seq) 4–10 enables transcriptional regulation to be studied on a genome-wide scale (Supplementary Fig. 1 online). By systematically identifying protein-DNA interactions of interest, studies using these

An Efficient GPU-based Approach for Interactive Global Illumination

by Rui Wang, Rui Wang, Kun Zhou, Minghao Pan, Hujun Bao
"... This paper presents a GPU-based method for interactive global illumination that integrates complex effects such as multi-bounce indirect lighting, glossy reflections, caustics, and arbitrary specular paths. Our method builds upon scattered data sampling and interpolation on the GPU. We start with ra ..."
Abstract - Cited by 37 (4 self) - Add to MetaCart
. In contrast, we select sample points adaptively in a single pass, enabling parallel computation. As a result, our algorithm runs entirely on the GPU, achieving interactive rates for scenes with complex illumination effects.

Cloth simulation using AABB hierarchies and GPU parallelism

by Frizzi San, Roman Salazar, Bruno Brandoli, Machado Alexander, Ocsa Maria, Cristina F. Oliveira, Paulo Usp
"... Providing realistic, high-resolution and high-fidelity representation of motions ia essential in the cloth simulation problem. In order to make high resolution simulations tractable, several algorithms have been developed that manage cloth-object interactions efficiently through specialized data str ..."
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Providing realistic, high-resolution and high-fidelity representation of motions ia essential in the cloth simulation problem. In order to make high resolution simulations tractable, several algorithms have been developed that manage cloth-object interactions efficiently through specialized data

Parallel Banding Algorithm to Compute Exact Distance Transform with the GPU ∗

by Thanh-tung Cao, Ke Tang, Anis Mohamed, Tiow-seng Tan
"... We propose a Parallel Banding Algorithm (PBA) on the GPU to compute the exact Euclidean Distance Transform (EDT) for a binary image in 2D and higher dimensions. Partitioning the image into small bands to process and then merging them concurrently, PBA computes the exact EDT with optimal linear total ..."
Abstract - Cited by 36 (4 self) - Add to MetaCart
We propose a Parallel Banding Algorithm (PBA) on the GPU to compute the exact Euclidean Distance Transform (EDT) for a binary image in 2D and higher dimensions. Partitioning the image into small bands to process and then merging them concurrently, PBA computes the exact EDT with optimal linear

Empowering Visual Categorization With the GPU

by Koen E. A. van de Sande, Theo Gevers, Cees G. M. Snoek , 2011
"... Visual categorization is important to manage large collections of digital images and video, where textual metadata is often incomplete or simply unavailable. The bag-of-words model has become the most powerful method for visual categorization of images and video. Despite its high accuracy, a severe ..."
Abstract - Cited by 22 (7 self) - Add to MetaCart
the same numerical results. In the experiments on large scale datasets, it is shown that, by using a parallel implementation on the Geforce GTX260 GPU, classifying unseen images is 4.8 times faster than a quad-core CPU version on the Core i7 920, while giving the exact same numerical results. In addition

Interactive Lighting Manipulation Application on GPU

by Borom Tunwattanapong, Paul Debevec
"... (a) novel lighting (b) interface of application (c) combining result Figure 1: (a): The face lit from per pixel view dependence reflection angles. (b): Interface of the application implemented on Qt. (c): Specifying illumination from light direction map and combining the result from several sets of ..."
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be visualized interactively as a falsecolor image of the directions by showing (X,Y,Z) lighting direction vector components as (R,G,B) colors (see Fig. 1, c). Users can add multiple, indpendently constrained lights to create more complicated lighting configurations. Figure 2: Illumination data from 480 light

Interactive Distributed Fluid Simulation on the GPU

by Tamás Umenhoffer, László Szirmay-kalos
"... Abstract- Fluid dynamics is described by the Navier-Stokes differential equations, which need to be solved by fluid simulators. The numerical solution of these equations in 3D has high computational and data storing costs. In this paper we present a real-time fluid simulation and visualization metho ..."
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method that exploits the computational power of a GPU cluster to solve this task interactively. We use object space decomposition of the 3D volume. A single CPU/GPU node solves the Navier-Stokes equations only for its subvolume, taking into account the data from neighboring nodes as boundary conditions
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