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Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Gregorio Palmas Myroslav Bachynskyi Antti Oulasvirta Hans Peter Seidel Tino Weinkauf MPI Informatik MPI Informatik Saarland University

parallel Coordinates is an often used visualization method for multidimensional data sets. Its main challenges for large data sets are visual clutter and over plotting which hamper the recognition of patterns in the data. We present an edge-bundling method using density-based clustering for each dimension. This reduces clutter and provides a faster overview of clusters and trends. Moreover, it allows rendering the clustered lines using polygons, decreasing rendering time remarkably. In addition, we design interactions to support multidimensional clustering with this method. A user study shows improvements over the classic parallel coordinates plot in two user tasks: correlation estimation and subset tracing.

关键词： Strips Layout Image color analysis visualization Data visualization Rendering (computer graphics) Clutter

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Visualizing large 3D geodesic grid data with massively distributed GPUs

Visualizing large 3D geodesic grid data with massively distr...

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ieee symposium on Large Data Analysis and visualization (LDAV)

作者： Jinrong Xie Hongfeng Yu Kwan-Liu Ma University of California-Davis California USA University of Nebraska-Lincoln Nebraska USA University of California Davis Davis CA US

Geodesic grids become increasingly prevalent in large weather and climate applications. The deluge amount of simulation data demands efficient and scalable visualization capabilities for scientific exploration and understanding. Given the unique characteristics of geodesic grids, no current techniques can scalably visualize scalar fields defined on a geodesic grid. In this paper, we present a new parallel ray-casting algorithm for large geodesic grids using massively distributed GPUs. We construct a spherical quadtree to adaptively partition and distribute the data according to the grid resolution of simulation, and ensure a balanced workload assignment over a large number of processors from different view angles. We have designed and implemented the entire rendering pipeline based on the MPI and CUDA architecture, and demonstrated the effectiveness and scalability of our approach using an example of large application on a supercomputer with thousands of GPUs.

关键词： Rendering (computer graphics) Data visualization Data models Sea surface Surface treatment graphics processing units

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Cache-aware sampling strategies for texture-based ray casting on GPU

Cache-aware sampling strategies for texture-based ray castin...

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ieee symposium on Large Data Analysis and visualization (LDAV)

作者： Junpeng Wang Fei Yang Yong Cao Virginia Polytechnic Institute and State University Blacksburg VA US Chinese Academy of Sciences

As a major component of volume rendering, the ray casting algorithm is memory-intensive. However, most existing texture-based volume rendering methods blindly map computational resources to texture memory and result in an incoherent access pattern, causing low cache hit rates in certain cases. The distance between samples taken by threads of the same scheduling unit (e.g. a warp of 32 threads in CUDA), of the GPU is a major factor that affects the texture cache hit rate. Based on this fact, we present a new sampling strategy, i.e. warp marching, which displays a novel computation-to-core mapping. In addition, a double buffer approach is introduced and special GPU operations are leveraged to improve the efficiency of parallel executions. To keep a roughly constant rendering performance when rotating the volume, we change our warp marching algorithm, so that samples can be taken along different directions of the volume. As a result, varying texture cache hit rates in different viewing directions are averaged out. Through a series of micro-benchmarking and real-life data experiments, we rigorously analyze our sampling strategies, and demonstrate significant performance enhancements over existing sampling methods.

关键词： Instruction sets graphics processing units Rendering (computer graphics) Benchmark testing Casting Algorithm design and analysis Message systems

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Real-Time Fine-Tuned Adjustment of Fiber Tracking Parameters

Real-Time Fine-Tuned Adjustment of Fiber Tracking Parameters

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Annual ieee symposium on Computer-Based Medical Systems

作者： Adiel Mittmann Eros Comunello Aldo von Wangenheim Image Processing and Computer Graphics Lab-LAPIX Federal University of Santa Catarina-UFSC Florianopolis SC Brazil

Fiber tracking is a mature technique that aids neurosurgeons by providing the location of neuronal fibers in a patient's brain. Although the interactivity of tools have been typically limited, the exploitation of the parallel nature of fiber tracking is rapidly changing this landscape. The parallel environment offered by GPUs and modern CPUs enables fiber tracking to be executed very quickly on consumer-grade computers. The adjustment of fiber tracking parameters can currently be made on the fly, and the new results can be both computed and displayed in real-time on the screen. In order to further improve the interactivity of fiber tracking tools, this article proposes the application of histogram equalization, a traditional digital image processing procedure, to the fiber tracking parameters. The non-linear scale obtained by this process allows the user to interactively explore sensitive regions of the parameter space. Results show that this scale can be computed in real-time and that it can be cleanly integrated into fiber tracking tools.

关键词： Histograms Trajectory Indexes visualization graphics processing units Real-time systems Anisotropic magnetoresistance

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FiberScout: An Interactive Tool for Exploring and Analyzing Fiber Reinforced Polymers

FiberScout: An Interactive Tool for Exploring and Analyzing ...

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Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Johannes Weissenböck Artem Amirkhanov Weimin Li Andreas Reh Alexander Amirkhanov Eduard Gröller Johann Kastner Christoph Heinzl University of Applied Sciences Upper Austria Ufa State Aviation Technical University Ufa Russia Vienna University of Technology Institute of Computer Graphics and Algorithms Vienna Austria

Advanced composites such as fiber reinforced polymers are promising candidate materials for future components as they allow integrating the continuously rising demands of industry regarding cost-effectiveness, function-orientation, integration and weight. The most important structures of fiber reinforced polymers are the individual fibers, as their characteristics (stiffness, strength, ductility, durability, etc.) to a large extent determine the properties of the final component. The main contribution of this paper is the introduction of a new system for interactive exploration and visual analysis of fiber properties in X-ray computed tomography data of fiber reinforced polymers. The presented tool uses parallel coordinates to define and configure initial fiber classes. Using a scatter plot matrix linked to the parallel coordinates the initial classification may be refined. This allows to analyze hidden relationships between individual fiber properties. 2D and 3D views depict the resulting fiber classifications. By using polar plots an intuitive rendering of the fiber orientation distribution is provided. In addition, two modules of higher abstraction are proposed: The Blob visualization creates a hull around fibers with similar characteristics. The fiber metadata visualization allows to calculate overlays for 2D and 3D views containing regional information of particular material characteristics. The proposed system has been evaluated by two groups of domain experts. Applying the presented concepts the user feedback shows that the domain experts are now able to efficiently perform tasks as classification of fibers, visualization of fiber lengths and orientations, and visualization of fiber regions. The insights gained can be forwarded to the design office as well as to material development and simulation, in order to speed up the development of novel composite components.

关键词： Data visualization Three-dimensional displays visualization Image color analysis Plastics Pipelines

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GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-directional Pedestrian Movement

GPU Accelerated Nature Inspired Methods for Modelling Large ...

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ieee International symposium on parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Sankha Baran Dutta Robert McLeod Marcia Friesen Electrical and Computer Engineering University of Manitoba Winnipeg Canada

ISBN: (纸本)9781479941155

Pedestrian movement, although ubiquitous and well-studied, is still not that well understood due to the complicating nature of the embedded social dynamics. Interest among researchers in simulating pedestrian movement and interactions has grown significantly in part due to increased computational and visualization capabilities afforded by high power computing. Different approaches have been adopted to simulate pedestrian movement under various circumstances and interactions. In the present work, bi-directional crowd movement is simulated where an equal numbers of individuals try to reach the opposite sides of an environment. Two movement methods are considered. First a Least Effort Model (LEM) is investigated where agents try to take an optimal path with as minimal changes from their intended path as possible. Following this, a modified form of Ant Colony Optimization (ACO) is proposed, where individuals are guided by a goal of reaching the other side in a least effort mode as well as a pheromone trail left by predecessors. The basic idea is to increase agent interaction, thereby more closely reflecting a real world scenario. The methodology utilizes graphics Processing Units (GPUs) for general purpose computing using the CUDA platform. Because of the inherent parallel properties associated with pedestrian movement such as proximate interactions of individuals on a 2D grid, GPUs are well suited. The main feature of the implementation undertaken here is that the parallelism is data driven. The data driven implementation leads to a speedup up to 18x compared to its sequential counterpart running on a single threaded CPU. The numbers of pedestrians considered in the model ranged from 2K to 100K representing numbers typical of mass gathering events. A detailed discussion addresses implementation challenges faced and averted. Detailed analysis is also provided on the throughput of pedestrians across the environment.

关键词： graphics processing units Computer architecture Microprocessors Cities and towns Instruction sets Indexes Computational modeling

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Using the VSim GUI to visualize high-order FV24 simulations of electrically large systems

Using the VSim GUI to visualize high-order FV24 simulations ...

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Antennas and Propagation Society International symposium

作者： Melinda Piket-May Sanjay DMello Ryan Smith Mohammed Hadi Department of Electrical and Computer Engineering University of Colorado Boulder CO United States Department of Electrical Engineering Kuwait University Kuwait City Kuwait

A three-dimensional second-order in time, fourth-order in space finite difference time-domain (FV24) algorithm is used in conjunction with the VSim electromagnetic (EM) simulation software package to completely model electrically large problems. FV24 has low numerical dispersion for electrically large EM problems with large grid sizes. visualization of a 160×160×160 EM simulation allows a deeper understanding of the complex electromagnetic phenomena in the example. Graphical processing units (GPUs) are used to execute the Compute Unified Device Architecture (CUDA) Fortran parallel implementation of the FV24 algorithm. Cutting-edge GPUs are evaluated for use with FV24 to reduce the algorithm's execution time.

关键词： graphics processing units Computational modeling Numerical models Time-domain analysis Finite difference methods Graphical user interfaces Dispersion

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Omegalib: A multi-view application framework for hybrid reality display environments

Omegalib: A multi-view application framework for hybrid real...

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ieee Annual International symposium Virtual Reality

作者： Alessandro Febretti Arthur Nishimoto Victor Mateevitsi Luc Renambot Andrew Johnson Jason Leigh Electronic Visualization Laboratory University of Illinois Chicago

In the domain of large-scale visualization instruments, hybrid reality environments (HREs) are a recent innovation that combines the best-in-class capabilities of immersive environments, with the best-in-class capabilities of ultra-high-resolution display walls. HREs create a seamless 2D/3D environment that supports both information-rich analysis as well as virtual reality simulation exploration at a resolution matching human visual acuity. Co-located research groups in HREs tend to work on a variety of tasks during a research session (sometimes in parallel), and these tasks require 2D data views, 3D views, linking between them and the ability to bring in (or hide) data quickly as needed. In this paper we present Omegalib, a software framework that facilitates application development on HREs. Omegalib is designed to support dynamic reconfigurability of the display environment, so that areas of the display can be interactively allocated to 2D or 3D workspaces as needed. Compared to existing frameworks and toolkits, Omegalib makes it possible to have multiple immersive applications running on a cluster-controlled display system, have different input sources dynamically routed to applications, and have rendering results optionally redirected to a distributed compositing manager. Omegalib supports pluggable front-ends, to simplify the integration of third-party libraries like OpenGL, OpenSceneGraph, and the visualization Toolkit (VTK). We present examples of applications developed with Omegalib for the 74-megapixel, 72-tile CAVE2™ system, and show how a Hybrid Reality Environment proved effective in supporting work for a co-located research group in the environmental sciences.

关键词： Three-dimensional displays Runtime Rendering (computer graphics) Collaboration visualization Operating systems

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Guest Editor's Introduction: Special Section on the Eurographics symposium on parallel graphics and visualization (EGPGV)

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ieee TRANSACTIONS ON visualization AND COMPUTER graphics 2012年第1期18卷 3-4页

作者： Ahrens, James Debattista, Kurt Los Alamos Natl Lab Appl Comp Sci Grp Los Alamos NM 87545 USA Univ Warwick Int Digital Lab WMG Coventry CV4 7AL W Midlands England

The articles in this special section contain selected papers from the Eurographics symposium on parallel graphics and visualization (EGPGV).

关键词： Special issues and sections Meetings graphics visualization

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Constrained Optimization for Disoccluding Geographic Landmarks in 3D Urban Maps

Constrained Optimization for Disoccluding Geographic Landmar...

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6th ieee symposium on Pacific visualization (PacificVis)

作者： Hirono, Daichi Wu, Hsiang-Yun Arikawa, Masatoshi Takahashi, Shigeo Univ Tokyo Tokyo 1138654 Japan

ISBN: (纸本)9781467347976

In composing hand-drawn 3D urban maps, the most common design problem is to avoid overlaps between geographic features such as roads and buildings by displacing them consistently over the map domain. Nonetheless, automating this map design process is still a challenging task because we have to maximally retain the 3D depth perception inherent in pairs of parallel lines embedded in the original layout of such geographic features. This paper presents a novel approach to disoccluding important geographic features when creating 3D urban maps for enhancing their visual readability. This is accomplished by formulating the design criteria as a constrained optimization problem based on the linear programming approach. Our mathematical formulation allows us to systematically eliminate occlusions of landmark roads and buildings, and further controls the degree of local 3D map deformation by devising an objective function to be minimized. Various design examples together with a user study are presented to demonstrate the robustness and feasibility of the proposed approach.

关键词： I.3.8 [Computer graphics]: Applications

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