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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6期18卷 837-837页

作者： Pajarola, Renato Zhou, Kun Univ Zurich Visualizat & MultiMedia Lab CH-8006 Zurich Switzerland Zhejiang Univ State Key Lab CAD & CG Hangzhou 310058 Zhejiang Peoples R China

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 Computer graphics V Isualization

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A suite of domain-specific visual languages for scientific software application modelling

A suite of domain-specific visual languages for scientific s...

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ieee symposium on Visual Languages and Human Centric Computing (VL/HCC)

作者： Mohamed Almorsy John Grundy Richard Sadus Willem van Straten David G. Barnes Owen Kaluza Centre for Computing and Engineering Software and Systems Swinburne University of Technology Hawthorn Australia Centre for Astrophysics and Supercomputing Swinburne University of Technology Hawthorn Australia Monash Monash Biomedical Imaging and Monash e-Research Centre Monash University Clayton Australia

ISBN: (纸本)9781479903702

Many advances in science now require sophisticated scientific software applications that facilitate data and computationally intensive experiments. However, the effective utilization of existing computational power e.g., grid and cloud platforms depends on the capabilities of scientists to implement parallel, scalable code for such experiments. Currently, tools aimed at supporting scientists are either very limited to specific domains, or require significant development using low-level code. We describe our work towards a more end user-friendly scientific applications development process, notations and toolset. We introduce a scientific application designer intended for use primarily by scientists to enable them in describing workflow, processes, entities, formulae, computation and ultimately realization code for different computing platforms. This is achieved via a set of integrated, domain-specific visual and textual languages (DSVLs). A Web-based modeling tool supports definition of new DSVLs and modeling of these applications. We are currently extending our tool to support generation of multi-core and GPU implementations, and visualization of results.

关键词： Computational modeling visualization Prototypes graphics processing units Programming Mathematical model

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Geant4 Based Simulation of Radiation Dosimetry in CUDA

Geant4 Based Simulation of Radiation Dosimetry in CUDA

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ieee Nuclear Science symposium

作者： K. Murakami N. Henderson K. Amako M. Asai T. Aso A. Dotti A. Kimura M. Gerritsen H. Kurashige J. Perl T. Sasaki High Energy Accelerator Research Organization (KEK) Tsukuba Japan Institute for Computational & Mathematical Engineering Stanford University Stanford CA USA SLAC National Accelerator Laboratory Menlo Park CA USA Electrical Engineering Nagaoka University of Technology Niigata Japan Ashikaga Institute of Technology Ashikaga Japan Kobe University Kobe Japan

Geant4 is a large-scale particle physics package that facilitates every aspect of particle transport simulation. This includes, but is not limited to, geometry description, material definition, tracking of particles passing through and interacting with matter, storage of event data, and visualization. As more detailed and complex simulations are required in different application domains, there is much interest in adapting the code for parallel and multi-core architectures. parallelism can be achieved by tracking many particles at the same time. The complexity in the context of a GPU/CUDA adaptation is the highly serialized nature of the Geant4 package and the presence of large lookup tables that guide the simulation. This work presents G4CU, a CUDA implementation of the core Geant4 algorithm adapted for dose calculations in radiation therapy. For these applications the geometry is a block of voxels and the physics is limited to low energy electromagnetic physics. These features allow efficient tracking of many particles in parallel on the GPU. Experiments with radiotherapy simulations in G4CU demonstrate about 40 times speedups over Geant4.

关键词： graphics processing units Instruction sets Scattering Photonics Phantoms Materials

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Views, alignment and incongruity in indirect augmented reality

Views, alignment and incongruity in indirect augmented reali...

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ieee International symposium on Mixed and Augmented Reality - Arts, Media and Humanities, ISMAR-AMH

作者： Gunnar Liestøl Andrew Morrison Department of Media & Communication University of Oslo Norway Centre for Design Research Oslo School of Architecture and Design

Alignment between the real and the virtual has been a defining quality of mixed and augmented reality. With the emergence of Indirect Augmented Reality the problem of alignment is no longer primarily concerned with the relationship between a live video feed and a 3D graphics layer at the level of the screen, but with the relationship between the visual information on the display and the real world perspective outside the display of the device. Experiments show that users easily connect the perspective into the 3D virtual environment on the full screen with their parallel perspective in the real world. It also turns out that although congruence and alignment between the two perspectives is fundamental to the user experience, in certain contexts it may be transcended. This paper describes and discusses applications of Indirect Augmented Reality where we explore how the discrepancy between the virtual and the real perspectives in a variety of ways can be used to improve the user experience. We call these features views. The views will be exemplified with several Indirect Augmented Reality applications: reconstructions of Augustus' Forum and the Republican Forum in Rome and a preconstruction of the planned National Museum in Oslo. The applications have been tested with users on location, and their feedback and evaluation is included in the discussion. Finally, we relate the experiential value of the views to some epistemological and pedagogical perspectives.

关键词： Augmented reality Cameras Context Three-dimensional displays visualization Media

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A flexible Java GPU-enhanced visualization framework and its applications

A flexible Java GPU-enhanced visualization framework and its...

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25th International symposium on Computer-Based Medical Systems (CBMS)

作者： Cheng, Ruida Senseney, Justin Pandya, Nishith McCreedy, Evan McAuliffe, Matthew J. Bokinsky, Alexandra Natl Inst Hlth Imaging Sci Lab Ctr Informat Technol Bethesda MD 20892 USA Geometr Tools Inc Chapel Hill NC USA

ISBN: (纸本)9781467320511

A flexible biomedical visualization framework implemented with Java, OpenGL, and OpenCL performs efficient volume rendering with large, multi-modal datasets. The,framework takes advantage of the parallel processing power on modern graphics hardware with novel Open CL and GLSL shading language implementations. The Java and GPU environment provide portable advanced biomedical image visualization applications. Several applications built on top of the GPU framework are also presented to show the extensibility of the application. These include multi-surface rendering, stereoscopic rendering, image fusion, and diffusion tensor visualization.

关键词： graphics processing unit

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Efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data

Efficient parallel extraction of crack-free isosurfaces from...

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2nd symposium on Large-Scale Data Analysis and visualization, LDAV 2012

作者： Weber, Gunther H. Childs, Hank Meredith, Jeremy S. Lawrence Berkeley National Laboratory University of California Davis CA United States Oak Ridge National Laboratory United States

ISBN: (纸本)9781467347334

We present a novel extraction scheme for crack-free isosurfaces from adaptive mesh refinement (AMR) data that builds on prior work utilizing dual grids and filling resulting gaps with stitch cells. We use a case-table-based approach to simplify the implementation of stitch cell generation. The most significant benefit of our new approach is that it uses ghost data to handle parallel isosurface extraction efficiently. We further present the results of applying this method to large scale data sets and analyze its computation time on parallel high-performance computing (HPC) platforms. © 2012 ieee.

关键词： Mesh generation

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ieee symposium on Large Data Analysis and visualization 2012, LDAV 2012 - Proceedings

IEEE Symposium on Large Data Analysis and Visualization 2012...

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2nd symposium on Large-Scale Data Analysis and visualization, LDAV 2012

ISBN: (纸本)9781467347334

The proceedings contain 18 papers. The topics discussed include: panning and zooming the observable universe with subsequence-matching trees;interactive exploration of large-scale time-varying data using dynamic tracking graphs;interactive transfer function design on large multiresolution volumes;query-driven parallel exploration of large datasets;efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data;parallel stream surface computation for large data sets;salient time steps selection from large scale time-varying data sets with dynamic time warping;Gaussian mixture model based volume visualization;virtual rheoscopic fluids for dense, large-scale fluid flow visualizations;meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data;redirecting research in large-format displays for visualization;flow-guided file layout for out-of-core pathline computation;and scalable computation of distributions from large scale data sets.

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parallel stream surface computation for large data sets

Parallel stream surface computation for large data sets

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2nd symposium on Large-Scale Data Analysis and visualization, LDAV 2012

作者： Camp, David Childs, Hank Garth, Christoph Pugmire, David Joy, Kenneth I. Lawrence Berkeley National Laboratory University of California Davis CA United States University of Kaiserslautern Germany Oak Ridge National Laboratory United States University of California Davis CA United States

ISBN: (纸本)9781467347334

parallel stream surface calculation, while highly related to other particle advection-based techniques such as streamlines, has its own unique characteristics that merit independent study. Specifically, stream surfaces require new integral curves to be added continuously during execution to ensure surface quality and accuracy;performance can be improved by specifically accounting for these additional particles. We present an algorithm for generating stream surfaces in a distributed-memory parallel setting. The algorithm incorporates multiple schemes for parallelizing particle advection and we study which schemes work best. Further, we explore speculative calculation and how it can improve overall performance. In total, this study informs the efficient calculation of stream surfaces in parallel for large data sets, based on existing integral curve functionality. © 2012 ieee.

关键词： parallel programming

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Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data

Meta parallel coordinates for visualizing features in large,...

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2nd symposium on Large-Scale Data Analysis and visualization, LDAV 2012

作者： Dasgupta, Aritra Kosara, Robert Gosink, Luke UNC Charlotte United States Pacific Northwest National Lab. United States

ISBN: (纸本)9781467347334

Managing computational complexity and designing effective visual representations are two important challenges for the visualization of large, complex, high-dimensional datasets. parallel coordinates are an effective technique for visualizing high-dimensional data, but do not scale well to very large datasets. The addition of the temporal dimension leads to more uncertainty due to clutter on screen. Consequently, this poses a significant challenge for visually finding trends and patterns that maximize insight about the underlying time-varying properties of the data. To address these problems, we present meta parallel coordinates, a parallel coordinates display that is guided by perceptually motivated visual metrics. These metrics describe the visual structures typically found in parallel coordinates and thus aid the user's analysis by providing meaningful views of the data. Since they are computed in screen space, our metrics are computationally more efficient than data-based metrics. Our choice of metrics is driven by the different analytical tasks that a user typically wants to perform with time-varying multivariate data. In particular, we have worked with domain scientists who performed simulations of bioremediation experiments, and use their data and results to demonstrate the usefulness of our approach. © 2012 ieee.

关键词： Bioremediation

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Performance Study of SIMD Programming Models on Intel Multicore Processors

Performance Study of SIMD Programming Models on Intel Multic...

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26th ieee International parallel and Distributed Processing symposium (IPDPS) / Workshop on High Performance Data Intensive Computing

作者： Kristof, Peter Yu, Hongtao Li, Zhiyuan Tian, Xinmin Purdue Univ Dept Comp Sci W Lafayette IN 47906 USA Intel Corp Mobile Comp & Compilers Santa Clara CA USA

ISBN: (纸本)9780769546766

Modern multicore hardware employs a variety of parallel execution units, including multiple CPU cores for executing multiple threads simultaneously, vector units such as the Intel SIMD on the CPU cores, as well as GPU-like processing arrays. Availability of such unprecedented level of parallelism on main-stream computers offers an enormous potential to enable a new generation of computation-intensive nontraditional applications. On the other hand, how to best harness the hardware parallelism presents a new challenge to application programmers, language designers and compiler developers. In this paper, we evaluate the impact of several different parallel execution models, especially the new SIMD vectorization methods, supported by the latest Intel ICC compiler (version 12.1), using three computation-intensive nontraditional parallel applications as the test workload. Unlike traditional numerical programs, these applications use highly irregular data structures and therefore present nontrivial challenges to effective use of SIMD vector units. The first application is a game engine architecture requiring real-time performance. The second application involves a kd-tree traversal, which is typical to the state-of-the-art 3D ray-tracing applications. The last application processes data for large-scale weather visualization system in the order of tens of minutes. We compare the execution time of these codes using different SIMD models supported by ICC in conjunction with parallel threading under TBB and OpenMP.

关键词： Intel ICC compiler parallel programming SIMD optimization computer graphics

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