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检索条件"任意字段=Proceedings of the IEEE 2001 symposium on parallel and large-data visualization and graphics"

共 388 条记录，以下是41-50 订阅

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Coupling LAMMPS and the vl3 Framework for Co-visualization of Atomistic Simulations

Coupling LAMMPS and the vl3 Framework for Co-Visualization o...

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

作者： Silvio Rizzi Mark Hereld Joseph Insley Preeti Malakar Michael E. Papka Thomas Uram Venkatram Vishwanath Argonne National Laboratory

ISBN: (纸本)9781509036837

In this work we perform in-situ visualization of molecular dynamics simulations, which can help scientists to visualize simulation output on-the-fly, without incurring storage overheads. We present a case study to couple LAMMPS, the large-scale molecular dynamics simulation code with vl3, our parallel framework for large-scale visualization and analysis. Our motivation is to identify effective approaches for co-visualization and exploration of large-scale atomistic simulations at interactive frame rates. We propose a system of coupled libraries and describe its architecture, with an implementation that runs on GPU-based clusters. We present the results of strong and weak scalability experiments, as well as future research avenues based on our results.

关键词： Rendering (computer graphics) visualization Scalability Libraries data visualization Protocols graphics processing units

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High Performance Molecular visualization: In-Situ and parallel Rendering with EGL

High Performance Molecular Visualization: In-Situ and Parall...

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

作者： John E. Stone Peter Messmer Robert Sisneros Klaus Schulten Beckman Institute University of Illinois at Urbana-Champaign Urbana IL Developer Technology Group NVIDIA Zurich Switzerland National Center for Supercomputing Applications University of Illinois at Urbana-Champaign Urbana IL Department of Physics University of Illinois at Urbana-Champaign Urbana IL

ISBN: (纸本)9781509036837

large scale molecular dynamics simulations produce terabytes of data that is impractical to transfer to remote facilities. It is therefore necessary to perform visualization tasks in-situ as the data are generated, or by running interactive remote visualization sessions and batch analyses co-located with direct access to high performance storage systems. A significant challenge for deploying visualization software within clouds, clusters, and supercomputers involves the operating system software required to initialize and manage graphics acceleration hardware. Recently, it has become possible for applications to use the Embedded-system graphics Library (EGL) to eliminate the requirement for windowing system software on compute nodes, thereby eliminating a significant obstacle to broader use of high performance visualization applications. We outline the potential benefits of this approach in the context of visualization applications used in the cloud, on commodity clusters, and supercomputers. We discuss the implementation of EGL support in VMD, a widely used molecular visualization application, and we outline benefits of the approach for molecular visualization tasks on petascale computers, clouds, and remote visualization servers. We then provide a brief evaluation of the use of EGL in VMD, with tests using developmental graphics drivers on conventional workstations and on Amazon EC2 G2 GPU-accelerated cloud instance types. We expect that the techniques described here will be of broad benefit to many other visualization applications.

关键词： data visualization Software Servers Rendering (computer graphics) Supercomputers Libraries

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Immersive Molecular visualization with Omnidirectional Stereoscopic Ray Tracing and Remote Rendering

Immersive Molecular Visualization with Omnidirectional Stere...

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

作者： John E. Stone William R. Sherman Klaus Schulten Beckman Institute University of Illinois at Urbana-Champaign Urbana IL USA Pervasive Technology Institute Indiana University Bloomington IN USA Department of Physics University of Illinois at Urbana-Champaign Urbana IL USA

ISBN: (纸本)9781509036837

Immersive molecular visualization provides the viewer with intuitive perception of complex structures and spatial relationships that are of critical interest to structural biologists. The recent availability of commodity head mounted displays (HMDs) provides a compelling opportunity for widespread adoption of immersive visualization by molecular scientists, but HMDs pose additional challenges due to the need for low-latency, high-frame-rate rendering. State-of-the-art molecular dynamics simulations produce terabytes of data that can be impractical to transfer from remote supercomputers, necessitating routine use of remote visualization. Hardware-accelerated video encoding has profoundly increased frame rates and image resolution for remote visualization, however round-trip network latencies would cause simulator sickness when using HMDs. We present a novel two-phase rendering approach that overcomes network latencies with the combination of omnidirectional stereoscopic progressive ray tracing and high performance rasterization, and its implementation within VMD, a widely used molecular visualization and analysis tool. The new rendering approach enables immersive molecular visualization with rendering techniques such as shadows, ambient occlusion lighting, depth-of-field, and high quality transparency, that are particularly helpful for the study of large biomolecular complexes. We describe ray tracing algorithms that are used to optimizeinteractivity and quality, and we report key performance metrics of the system. The new techniques can also benefit many other application domains.

关键词： Rendering (computer graphics) Stereo image processing Ray tracing visualization Lighting graphics processing units Head

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Real-Time Agent-Based Modeling Simulation with in-Situ visualization of Complex Biological Systems: A Case Study on Vocal Fold Inflammation and Healing

Real-Time Agent-Based Modeling Simulation with in-Situ Visua...

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

作者： Nuttiiya Seekhao Caroline Shung Joseph Jaja Luc Mongeau Nicole Y. K. Li-Jessen Department of Electrical and Computer Engineering University of Maryland College Park Maryland USA Department of Mechanical Engineering McGill University Montreal Canada School of Communication Sciences and Disorders McGill University Montreal Canada

ISBN: (纸本)9781509036837

We present an efficient and scalable scheme for implementing agent-based modeling (ABM) simulation with In Situ visualization of large complex systems on heterogeneous computing platforms. The scheme is designed to make optimal use of the resources available on a heterogeneous platform consisting of a multicore CPU and a GPU, resulting in minimal to no resource idle time. Furthermore, the scheme was implemented under a client-server paradigm that enables remote users to visualize and analyze simulation data as it is being generated at each time step of the model. Performance of a simulation case study of vocal fold inflammation and wound healing with 3.8 million agents shows 35x and 7x speedup in execution time over single-core and multi-core CPU respectively. Each iteration of the model took less than 200 ms to simulate, visualize and send the results to the client. This enables users to monitor the simulation in real-time and modify its course as needed.

关键词： Computational modeling graphics processing units Biological system modeling Object oriented modeling data visualization data models Central Processing Unit

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large-Scale Co-visualization for LAMMPS using vl3 5

Large-Scale Co-Visualization for LAMMPS using vl3

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ieee 5th symposium on large data Analysis and visualization (LDAV)

作者： Rizzi, Silvio Hereld, Mark Insley, Joseph Papka, Michael E. Uram, Thomas Vishwanath, Venkatram Argonne Natl Lab Argonne IL 60439 USA Northern Illinois Univ De Kalb IL USA

ISBN: (纸本)9781467385176

In this poster we propose to interconnect LAMMPS and vl3, our parallel framework for large-scale visualization and analysis. The goal is co-visualization and exploration at interactive frame rates of large-scale atomistic simulations. We describe the architecture of the proposed system, as well as a preliminary implementation that runs on GPU-based visualization clusters.

关键词： I.3.2 [Computing Methodologies]: Computer graphics ??? graphics Systems: Distributed/network graphic Posters visualization large sizes Frame Rate Exploration Building construction ARCHITECTURE

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Streaming Ultra High Resolution Images to large Tiled Display at Nearly Interactive Frame Rate with vl3 5

Streaming Ultra High Resolution Images to Large Tiled Displa...

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ieee 5th symposium on large data Analysis and visualization (LDAV)

作者： Jiang, Jie Hereld, Mark Insley, Joseph Papka, Michael E. Rizzi, Silvio Uram, Thomas Vishwanath, Venkatram Univ Illinois Chicago IL 60607 USA Argonne Natl Lab Argonne IL 60439 USA Northern Illinois Univ De Kalb IL USA

ISBN: (纸本)9781467385176

visualization of large-scale simulations running on supercomputers requires ultra-high resolution images to capture important features in the data. In this work, we present a system for streaming ultra-high resolution images from a visualization cluster to a remote tiled display at nearly interactive frame rates. vl3, a modular framework for large scale data visualization and analysis, provides the backbone of our implementation. With this system we are able to stream over the network volume renderings of a 2048(3) voxel dataset at a resolution of 6144x3072 pixels with a frame rate of approximately 3.3 frames per second.

关键词： I.3.1 [Computing Methodologies]: Computer graphics ??? Hardware Architecture: parallel Processing I.3.2 [Computing Methodologies]: Computer graphics ??? graphics Systems: Distributed/network graphic Frame Rate image resolution Streaming Resolving power supercomputer visualization Interactive images pixel Frame High definition

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Flying Edges: A High-Performance Scalable Isocontouring Algorithm 5

Flying Edges: A High-Performance Scalable Isocontouring Algo...

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ieee 5th symposium on large data Analysis and visualization (LDAV)

作者： Schroeder, William Maynard, Rob Geveci, Berk Kitware Inc Clifton Pk NY 12065 USA

ISBN: (纸本)9781467385176

Isocontouring remains one of the most widely used visualization techniques. While a plethora of important contouring algorithms have been developed over the last few decades, many were created prior to the advent of ubiquitous parallel computing systems. With the emergence of large data and parallel architectures, a rethinking of isocontouring and other visualization algorithms is necessary to take full advantage of modern computing hardware. To this end we have developed a high-performance isocontouring algorithm for structured data that is designed to be inherently scalable. Processing is performed completely independently along edges over multiple passes. This novel algorithm also employs computational trimming based on geometric reasoning to eliminate unnecessary computation, and removes the parallel bottleneck due to coincident point merging. As a result the algorithm performs well in serial or parallel execution, and supports heterogeneous parallel computation combining data parallel and shared memory approaches. Further it is capable of processing data too large to fit entirely inside GPU memory, does not suffer additional costs due to preprocessing and search structures, and is the fastest non-preprocessed isocontouring algorithm of which we are aware on shared memory, multicore systems. The software is currently available under a permissive, open source licence in the VTK visualization system.

关键词： I.3.1 [Computing Methodologies]: Computer graphics ??? parallel processing I.3.5 [Computing Methodologies]: Computational Geometry and Object Modeling ??? Geometric algorithms Flying shared memory spatial reasoning algorithms parallel execution Scalability parallel PROCESSING (COMPUTERS) Plethora Serial Publications edges Computer hardware

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Ray Tracing Within a data parallel Framework 8

Ray Tracing Within a Data Parallel Framework

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ieee Pacific visualization symposium (PacificVis)

作者： Larsen, Matthew Meredith, Jeremy S. Navratil, Paul A. Childs, Hank Univ Oregon Eugene OR 97403 USA Oak Ridge Natl Lab Oak Ridge TN USA Univ Texas Austin Texas Adv Comp Ctr Austin TX 78712 USA Lawrence Berkeley Natl Lab Berkeley CA USA

ISBN: (纸本)9781467368797

Current architectural trends on supercomputers have dramatic increases in the number of cores and available computational power per die, but this power is increasingly difficult for programmers to harness effectively. High-level language constructs can simplify programming many-core devices, but this ease comes with a potential loss of processing power, particularly for cross-platform constructs. Recently, scientific visualization packages have embraced language constructs centering around data parallelism, with familiar operators such as map, reduce, gather, and scatter. Complete adoption of data parallelism will require that central visualization algorithms be revisited, and expressed in this new paradigm while preserving both functionality and performance. This investment has a large potential payoff: portable performance in software bases that can span over the many architectures that scientific visualization applications run on. With this work, we present a method for ray tracing consisting of entirely of data parallel primitives. Given the extreme computational power on nodes now prevalent on supercomputers, we believe that ray tracing can supplant rasterization as the work-horse graphics solution for scientific visualization. Our ray tracing method is relatively efficient, and we describe its performance with a series of tests, and also compare to leading-edge ray tracers that are optimized for specific platforms. We find that our data parallel approach leads to results that are acceptable for many scientific visualization use cases, with the key benefit of providing a single code base that can run on many architectures.

关键词： Ray tracing data parallel data visualisation supercomputer Raster processing code base Frameworks Computer personnel computational power

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A parallel and Memory Efficient Algorithm for Constructing the Contour Tree 8

A Parallel and Memory Efficient Algorithm for Constructing t...

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ieee Pacific visualization symposium (PacificVis)

作者： Acharya, Aditya Natarajan, Vijay Indian Inst Sci Supercomp Educ & Res Ctr Bangalore Karnataka India Indian Inst Sci Supercomp Educ & Res Ctr Dept Comp Sci & Automat Bangalore Karnataka India

ISBN: (纸本)9781467368797

The contour tree is a topological structure associated with a scalar function that tracks the connectivity of the evolving level sets of the function. It supports intuitive and interactive visual exploration and analysis of the scalar function. This paper describes a fast, parallel, and memory efficient algorithm for constructing the contour tree of a scalar function on shared memory systems. Comparisons with existing implementations show significant improvement in both the running time and the memory expended. The proposed algorithm is particularly suited for large datasets that do not fit in memory. For example, the contour tree for a scalar function defined on a 8.6 billion vertex domain (2048 x 2048 x 2048 volume data) can be efficiently constructed using less than 10GB of memory.

关键词： I.3.5 [Computer graphics]: Computational Geometry and Object Modeling SCALAR FUNCTIONS efficient algorithm Memory Memory contour Trees topological structure

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ieee Pacific visualization symposium

IEEE Pacific Visualization Symposium

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2015 8th ieee Pacific visualization symposium, PacificVis 2015

ISBN: (纸本)9781467368797

The proceedings contain 44 papers. The topics discussed include: interactive streamline exploration and manipulation using deformation;surface flow visualization using the closest point embedding;parallel unsteady flow line integral convolution for high-performance dense visualization;dendrogramix: a hybrid tree-matrix visualization technique to support interactive exploration of dendrograms;attribute-driven edge bundling for general graphs with applications in trail analysis;interactive visual summary of major communities in a large network;spherical layout and rendering methods for immersive graph visualization;multistory: visual analytics of dynamic multi-relational networks;variational circular treemaps for interactive visualization of hierarchical data;and applying feature integration theory to glyph-based information visualization.

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