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Graphical assistance in parallel program development

Graphical assistance in parallel program development

引用

ieee symposium on Visual Languages

作者： Kang Zhang Wanli Ma Department of Computing Macquarie University NSW Australia Computer Sciences Laboratory Australian National University ACT Australia

ISBN: (纸本)0818666609

Researchers have proposed many visualisation tools that assist the development of parallel programs. A number of graph formalisms or notations-which we call graph models-have been used to visualise various aspects of parallel programs and their executions. The paper attempts to classify and compare these graph models which provide different information at different stages of parallel program development.< >

关键词： Computer graphics Concurrent computing Taxonomy Data visualization Laboratories parallel programming Design optimization Software debugging Hardware Reflection

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Heterogeneous architecture for stereoscopic visualization

Heterogeneous architecture for stereoscopic visualization

引用

1993 ieee Annual Virtual Reality International symposium

作者： Nelson, Mark Cavaiuolo, Mario Yakovleff, Andre Defence Science and Technology Organization Salisbury

ISBN: (纸本)078031364X

This paper introduces a reconfigurable heterogeneous multiprocessor architecture, called Shiva, and describes a configuration of it for generating stereoscopic images in parallel. The main feature of Shiva is its ability to incorporate different types of processors. This allows a computational task to be distributed over the various processors in a way that best uses their combined capabilities. Some results of this system are presented.

关键词： Three dimensional computer graphics

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A pyramid-based approach to interactive terrain visualization

A pyramid-based approach to interactive terrain visualizatio...

引用

parallel Rendering symposium

作者： J. Kaba J. Peters National Information Display Laboratory David Samoff Research Center Inc. Princeton NJ USA

This paper describes a multiresolution approach to the visualization of surface data. The algorithms discussed allow the generation of arbitrary views of 3-dimensional surfaces. Image processing and texture mapping techniques are combined in a new 3-pass scanline algorithm to achieve smooth and continuous translations, rotations, and scale changes of large data sets. The implementation of the algorithms on a massively parallel SIMD video supercomputer, the Princeton Engine, allows the scenes to be generated interactively at video rates.

关键词： Rendering (computer graphics) Data visualization Terrain mapping Layout Displays Engines Supercomputers Level measurement Laboratories Image processing

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parallel volume rendering and data coherence

Parallel volume rendering and data coherence

引用

parallel Rendering symposium

作者： B. Corrie P. Mackerras Department of Computer Science Australian National University Canberra ACT Australia

The two key issues in implementing a parallel ray-casting volume renderer are the work distribution and the data distribution. We have implemented such a renderer on the Fujitsu AP1000 using an adaptive image-space subdivision algorithm based on the worker-farm paradigm for the work distribution, and a distributed virtual memory, implemented in software, to provide the data distribution. Measurements show that this scheme works efficiently and effectively utilizes the data coherence that is inherent in volume data.

关键词： Rendering (computer graphics) Computer architecture Computer graphics Ray tracing Data visualization Concurrent computing Distributed computing Communication system control Throughput Computer science

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Integrating volume data analysis and rendering on distributed memory architectures

Integrating volume data analysis and rendering on distribute...

引用

parallel Rendering symposium

作者： E. Camahort I. Chakravarty ABB HV Switchgear AB Austin TX USA AB Volvo Austin TX USA

The ability to generate visual representations of data, and the ability to enhance data into a suitable form for the purpose of visual representation, form two key components in a scientific visualization system. By a visual representation we mean the ability to render the data, using visual cues, such that the important features are readily perceived by the user. By the ability to enhance data we mean the ability to apply transformations to the data so that salient features embedded in the data become discernible and quantifiable. The rendering of data, computer graphics, and the enhancement of data, image processing, have emerged over the last twenty years into separate scientific disciplines. However, in scientific visualization and other applications of empirical data interpretation, we are increasingly confronted with the need to combine both data rendering and data transformation capabilities under one system framework. This paper describes the design issues and implementation of a program for visualizing and enhancing volume data on distributed memory architectures. Our design is motivated by the desire to interactively view, transform, and interpret volume data acquired using seismic imaging techniques. Experimental results derived from an implementation on the Connection Machine CM-5 are described.

关键词： Data analysis Memory architecture Data visualization Rendering (computer graphics) Biomedical imaging Computer graphics Numerical simulation Microwave integrated circuits Computer architecture Laboratories

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A multicomputer polygon rendering algorithm for interactive applications

A multicomputer polygon rendering algorithm for interactive ...

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parallel Rendering symposium

作者： D. Ellsworth Department of Computer Science North Carolina State University USA

This paper presents a new multicomputer polygon rendering algorithm that is specialized for interactive applications. The algorithm differs from previous algorithms in two ways. First, it load balances the rasterization once per frame, instead of as the frame progresses, using the previous frame's distribution of polygons on the screen as input to the load-balancing algorithm. Second, it uses a new message sending scheme that reduces the number of messages required. These characteristics mean that the algorithm only requires global synchronization between frames, which allows for higher frame rates. The algorithm was selected using a simulator which confirmed that using the previous frame's polygon distribution on the screen is nearly as good as using the current frame's distribution. The algorithm is implemented on Caltech's Intel Touchstone Delta, a 512 processor multicomputer system, and preliminary performance figures are given. The highest performance achieved to date is 930,000 triangles per second using 256 processors and a 806,640 triangle data set.

关键词： Rendering (computer graphics) Data visualization Application software Computer graphics parallel algorithms Coherence Hardware Pipelines Computer science parallel processing

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A data distributed, parallel algorithm for ray-traced volume rendering

A data distributed, parallel algorithm for ray-traced volume...

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parallel Rendering symposium

作者： K.-L. Ma J.S. Painter C.D. Hansen M.F. Krogh NASA Langley Research Center ICASE Hampton VA USA Department of Computer Science University of Utah Salt Lake UT USA Advanced Computing Laboratory Los Alamos NM USA

This paper presents a divide-and-conquer ray-traced volume rendering algorithm and a parallel image compositing method, along with their implementation and performance on the Connection Machine CM-5, and networked workstations. This algorithm distributes both the data and the computations to individual processing units to achieve fast, high-quality rendering of high-resolution data. The volume data, once distributed, is left intact. The processing nodes perform local raytracing of their subvolume concurrently. No communication between processing units is needed during this locally ray-tracing process. A subimage is generated by each processing unit and the final image is obtained by compositing subimages in the proper order, which can be determined a priori. Test results on the CM-5 and a group of networked workstations demonstrate the practicality of our rendering algorithm and compositing method.

关键词： parallel algorithms Rendering (computer graphics) Distributed computing Concurrent computing Data visualization Workstations Laboratories Testing parallel processing Computer graphics

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A heterogeneous architecture for stereoscopic visualisation

A heterogeneous architecture for stereoscopic visualisation

引用

ieee Annual International symposium Virtual Reality

作者： M. Nelson M. Cavaiuolo A. Yakovleff Information Technology Division Defence Science and Technology Organisation Salisbury SA Australia

A reconfigurable heterogeneous multiprocessor architecture, called Shiva is introduced, and a configuration of it for generating stereoscopic images in parallel is described. The main feature of Shiva is its ability to incorporate different types of processors. This allows a computational task to be distributed over the various processors in a way that best users their combined capabilities. Some results of this system are presented.< >

关键词： visualization Workstations Computer architecture Microprocessors Image generation Distributed computing graphics Testing Hardware Pipelines

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Scalable parallel volume raycasting for nonrectilinear computational grids

Scalable parallel volume raycasting for nonrectilinear compu...

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parallel Rendering symposium

作者： J. Challinger Computer Engineering & Information Sciences University of California Santa Cruz Santa Cruz CA USA

A scalable approach to parallel volume raycasting of structured and unstructured computational grids is presented. The algorithm is general enough to handle non-convex grids and cells, grids with voids, grids constructed from multiple grids, and embedded geometrical primitives. The algorithm is designed for a highly parallel MIMD architecture which features both local memory and shared memory with nonuniform access times. It has been implemented on a BBN TC2000 and benchmarked on several datasets. A variation of the algorithm which provides fast image updates for a changing transfer function is also presented. A distributed approach to controlling the execution of the volume render is used and the graphical user interface designed for this purpose is briefly described.

关键词： Concurrent computing Grid computing Rendering (computer graphics) Computational modeling visualization Analytical models Transfer functions Graphical user interfaces parallel machines Workstations

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Permutation warping for data parallel volume rendering

Permutation warping for data parallel volume rendering

引用

parallel Rendering symposium

作者： C.M. Wittenbrink A.K. Somani Department of Electrical Engineering University of Washington Seattle WA USA Department of Computer Science and Engineering Department of Electrical Engineering University of Washington Seattle WA USA

Volume rendering algorithms visualize sampled three dimensional data. A variety of applications create sampled data, including medical imaging, simulations, animation, and remote sensing. Researchers have sought to speed up volume rendering because of the high run time and wide application. Our algorithm uses permutation warping to achieve linear speedup on data parallel machines. This new algorithm calculates higher quality images than previous distributed approaches, and also provides more view angle freedom. We present permutation warping results on the SIMD MasPar MP-1. The efficiency results from nonconflicting communication. The communication remains efficient with arbitrary view directions, larger data sets, larger parallel machines, and high order filters. We show constant run time versus view angle, tunable filter quality, and efficient memory implementation.

关键词： Filters Rendering (computer graphics) parallel machines parallel processing Scalability Data visualization Biomedical imaging Medical simulation Animation Remote sensing

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