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parallel visualization of gigabyte datasets in GeoFEM

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2002年第6-7期14卷 521-530页

作者： Fujishiro, I Chen, L Takeshima, Y Nakamura, H Suzuki, Y Res Org Informat Sci & Technol Tokyo Japan Ochanomizu Univ Tokyo 112 Japan Tohoku Univ Sendai Miyagi 980 Japan

An initial overview of parallel visualization in the GeoFEM software system is provided. Our visualization subsystem offers many kinds of parallel visualization methods for the users to visualize their huge finite-element analysis datasets for scalar, vector and/or tensor fields at a reasonable cost. A polygonal simplification scheme is developed to make the transmission and rendition of output graphic primitives more efficient. A salient feature of the subsystem lies in its capability in the automatic setting of visualization parameter values based on the analysis of scalar/flow field topology and volumetric coherence, to improve the quality of visualization results with a minimized number of batch re-executions. Representative experimental results illustrate the effectiveness of our subsystem. Copyright (C) 2002 John Wiley Sons, Ltd.

关键词： scientific visualization parallel visualization large-scale data visualization volume visualization flow visualization polygonal simplification feature analysis

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parallel visualization of large-scale multifield scientific data

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JOURNAL OF visualization 2019年第6期22卷 1107-1123页

作者： Cao, Yi Mo, Zeyao Ai, Zhiwei Wang, Huawei Xiao, Li Zhang, Zhe Inst Appl Phys & Computat Math High Performance Comp Ctr Beijing Peoples R China

Following the recent rapid growth in supercomputer performance, many real-world problems in fields such as nuclear fusion energy and electromagnetic environments can be solved via multiphysics simulation, which outputs multifield datasets. However, current multifield visualization has difficulty handling multiphysics parallel simulation data. First, it is difficult to correctly visualize overlapping multifield data with semitransparent properties because of the complex distribution of partitioned data domains across multicore processors. Second, the interactive visualization performance of large-scale multifield data in serial processing mode on a personal computer is often slow because multiphysics simulations can produce large-scale datasets, i.e., of the order of gigabytes to terabytes. Considering the fidelity and efficiency of large-scale data visualization on supercomputer, a new parallel visualization method is required for multifield scientific data that do not change the original distribution of the mesh data generated by the multiphysics applications. This paper introduces a hybrid scheduling framework for the parallel visualization of large-scale multifield scientific data. This framework is used to overcome problems both in correct visual representation and in efficient visualization of large-scale multiphysics applications. We discuss the results of several typical multiphysics applications to verify the feasibility and reliability of our proposed framework. This framework currently supports scalable in situ visualization of up to 8.5 billion mesh cells on the 10 k cores of China's Tianhe-2 supercomputer, which could help domain scientists understand multiphysics phenomena more clearly and accurately.

关键词： Multiphysics simulation Multifield visualization parallel visualization In situ visualization

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parallel visualization of large-scale unstructured geophysical data for the Earth Simulator

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PURE AND APPLIED GEOPHYSICS 2004年第11-12期161卷 2245-2263页

作者： Chen, L Fujishiro, I Nakajima, K Res Org Informat Sci & Technol Meguro Ku Tokyo 1530061 Japan Ochanomizu Univ Bunkyo Ku Tokyo 1128610 Japan

A scalable and high-performance parallel visualization subsystem has been developed in GeoFEM for the Earth Simulator. As part of the Earth Simulator project in Japan, the proposed subsystem is effective for the visualization of large-scale geoscientific data, and can be concurrent with computation subsystems on the same high-performance parallel computer. Moreover, several parallel visualization methods are developed for large unstructured datasets, covering scalar, vector and tensor fields. Furthermore, a number of strategies are adopted in order to improve the parallel performance of the proposed subsystem for the Earth simulator, including the three-level hybrid parallelization and dynamic load balancing. Good visualization images and high parallel performance have been obtained on a Hitachi SR8000 for large unstructured geoscientific data sets, and thus demonstrating the feasibility and effectiveness of the proposed method for use on the Earth Simulator.

关键词： parallel visualization unstructured grid large-scale geoscientific dataset Earth Simulator parallel volume rendering hybrid parallelization

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parallel visualization of seismic wave propagation

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Visual Geosciences 2008年第1期13卷 117-124页

作者： Zhang, Huai Chen, Shaolin Chen, Shi Chen, Si Jing, Huimin Yuen, David A. Shi, Yaolin Laboratory of Computational Geodynamics Graduate University of Chinese Academy of Sciences 100049 Beijing 19A Yue Quanlu Ave. China Department of Geology and Geophysics Minnesota Supercomputing Institute University of Minnesota Minneapolis MN 55455 United States

Today parallel visualization of massive datasets from observation and numerical simulation of seismic waves is one of the major goals of geoscience community. A majority of these datasets are time-varying volume data (TVVD), also known as 4D field data. The difficulty of visualizing them on distributed parallel system mainly lies in the algorithm designing for distributed preprocessing of raw datasets, hierarchical point-to-point or collective communication implementation based on distributed data allocation, synchronous volume rendering techniques. In this work we present viable solutions for preprocessing of raw data sets, novel algorithms of parallel rendering and display matrix. Our main objective is focused on the parallel visualization of results coming from full 4D seismic wave propagation simulations. © Springer-Verlag 2008.

关键词： 3D seismic wave propagation High-resolution display matrix Massive data sets parallel rendering parallel visualization

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A prototype framework for parallel visualization of large flow data

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ADVANCES IN ENGINEERING SOFTWARE 2019年第0期130卷 14-23页

作者： Liu, Zhanping Old Dominion Univ Dept Modeling Simulat & Visualizat Engn Norfolk VA 23529 USA

Scientific visualization seeks to provide deep insight into the complex pattern underlying big data, while flow visualization plays a crucial role in oceanographic-atmospheric modeling and computational fluid dynamics simulation. As an increasingly important strategy, parallel visualization incorporates data visualization with parallel computing by means of MPI (Message Passing Interface) to achieve efficient visual analysis to facilitate scientific study. This paper presents a prototype framework for parallel visualization of large flow data, involving MPI as the low-level parallel computing paradigm, DIY (Do It Yourself) as a block-oriented data-parallel programming library on top of MPI, OSUFlow as a geometry-based flow visualization engine, and VTK (visualization Toolkit) for data input, graphics rendering, and scene interaction. It exposes the combined power of DIY and OSUFlow, including parallel yet seamless generation of streamlines as well as pathlines from vector data defined on Cartesian, rectilinear, and curvilinear grids, to a broad community of high-performance flow visualization through VTK. Preliminary results show that this framework is capable of exploiting the horsepower of a vast number of processors to accelerate data processing and visualization for explorative analysis of massive steady/unsteady volume flows.

关键词： Scientific visualization Flow visualization parallel visualization Data analysis Streamlines Pathlines

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Application of interactive parallel visualization for commodity-based clusters using visualization APIs

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COMPUTERS & GRAPHICS-UK 2004年第2期28卷 273-278页

作者： Tomov, S Bennett, R McGuigan, M Peskin, A Smith, G Spiletic, J Brookhaven Natl Lab Div Informat Technol Upton NY 11973 USA

We present an efficient and inexpensive to develop application for interactive high-performance parallel visualization. We extend popular APIs such as Open Inventor and VTK to support commodity-based cluster visualization. Our implementation follows a standard master/slave concept: the general idea is to have a "Master" node, which will intercept a sequential graphical user interface and broadcast it to the "Slave" nodes. The interactions between the nodes are implemented using MPI The parallel remote rendering uses Chromium. This paper is mainly the report of our implementation experiences. We present in detail the proposed model and key aspects of its implementation. Also, we present performance measurements, we benchmark and quantitatively demonstrate the dependence of the visualization speed on the data size and the network bandwidth, and we identify the singularities and draw conclusions on Chromium's sort-first rendering architecture. The most original part of this work is the combined use of Open Inventor and Chromium. (C) 2003 Elsevier Ltd. All rights reserved.

关键词： interactive visualization visualization APIs commodity-based cluster visualization parallel visualization remote rendering chromium open inventor VTK MPI

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HIGH-PERFORMANCE parallel visualization LIBRARY FOR VARIOUS SIMULATION ENVIRONMENTS

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INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS 2008年第2期5卷 273-287页

作者： Chen, Li Okuda, Hiroshi Tsinghua Univ Sch Software Inst Comp Graph & Comp Aided Design Beijing 100084 Peoples R China Univ Tokyo Ctr Engn Chiba 2778568 Japan

This paper describes a parallel visualization library for large-scale datasets developed in the HPC-MW project. Three parallel frameworks are provided in the library to satisfy different requirements of applications. Meanwhile, it is applicable for a variety of mesh types covering particles, structured grids and unstructured grids. Many techniques have been employed to improve the quality of the visualization. High speedup performance has been achieved by some hardware-oriented optimization strategies on different platforms, from PC clusters to the Earth Simulator. Good results have been obtained on some typical parallel platforms, thus demonstrating the feasibility and effectiveness of our library.

关键词： parallel visualization large-scale unstructured datasets parallel performance optimization

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Interactive parallel visualization of large particle datasets

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parallel COMPUTING 2005年第2期31卷 243-260页

作者： Liang, K Monger, P Couchman, H McMaster Univ Res & HPC Support Hamilton ON L8S 4M1 Canada McMaster Univ Dept Phys & Astron Hamilton ON L8S 4M1 Canada

This paper presents a new interactive parallel visualization method for large particle datasets by directly rendering individual particles based on a parallel rendering cluster. A frame rate of 9 frames-per-second is achieved for 256 3 particles using 7 render nodes and a display node. This provides real time interaction and interactive exploration of large datasets, which has been a challenge for scientific visualization and other real time data mining applications. A dynamic data distribution technique is designed for highlighting a subset of the particle volume. It maintains load balance of the system and minimizes network traffic by reconfiguring the rendering chain. Experiments show that on a given subset, interactive manipulation of the subset usually requires less than 3% of the particles inside the subset to be redistributed among all render nodes. The method can be easily extended to other large datasets such as hydrodynamic turbulence, fluid dynamics, and so on. (c) 2005 Elsevier B.V. All rights reserved.

关键词： interactive graphics parallel visualization high performance scientific visualization distributed/network graphics volume rendering

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Interactive parallel visualization of large particle datasets

Interactive parallel visualization of large particle dataset...

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Symposium on parallel Graphics and visualization

作者： Liang, K Monger, P Couchman, H McMaster Univ Res & HPC Support Hamilton ON L8S 4M1 Canada McMaster Univ Dept Phys & Astron Hamilton ON L8S 4M1 Canada

关键词： interactive graphics parallel visualization high performance scientific visualization distributed/network graphics volume rendering

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A steering environment for online parallel visualization of legacy parallel simulations 06

A steering environment for online parallel visualization of ...

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10th IEEE International Symposium on Distributed Simulation and Real-Time Applications

作者： Esnard, Aurelien Richart, Nicolas Coulaud, Olivier INRIA Futurs/LaBri France

ISBN: (纸本)0769526977

In the context of scientific computing, the computational steering consists in the coupling of numerical simulations with 3D visualization systems through the network. This allows scientists to monitor online the inter mediate results of their computations in a more interactive way than the batch mode, and allows them to modify the simulation parameters on-the-fly. While most of existing computational steering environments support parallel simulations, they are often limited to sequential visualization systems. This may lead to an important bottleneck and increased rendering time. To achieve the required performance for online visualization, we have designed the EPSN framework, a computational steering environment that enables to interconnect legacy parallel simulations with parallel visualization systems. For this, we have introduced a redistribution algorithm for unstructured data, that is well adapted to the context of M x N computational steering. Then, we focus on the design of our parallel viewer and present some experimental results obtained with a particle-based simulation in astrophysics.

关键词： computational steering numerical simulation data redistribution parallel visualization

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