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检索条件"任意字段=2014 Eurographics Symposium on Parallel Graphics and Visualization, EGPGV 2014"

共 5 条记录，以下是1-10 订阅

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eurographics Workshop on parallel graphics and visualization

Eurographics Workshop on Parallel Graphics and Visualization

引用

2014 eurographics symposium on parallel graphics and visualization, egpgv 2014

ISBN: (纸本)9783905674590

The proceedings contain 10 papers. The topics discussed include: precomputing sound scattering for structured surfaces;performance modeling of vl3 volume rendering on GPU-based clusters;parallel progressive mesh editing;free-processing: transparent in situ visualization via data interception;auto-tuning complex array layouts for GPUs;finely-threaded history-based topology computation;clustered pre-convolved radiance caching;parallel methodologies for a micropolygon renderer;collaborative high-fidelity rendering over peer-to-peer networks;and a study of parallel data compression using proper orthogonal decomposition on the K computer.

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Freeprocessing: Transparent in situ visualization via data interception

Freeprocessing: Transparent in situ visualization via data i...

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2014 eurographics symposium on parallel graphics and visualization, egpgv 2014

作者： Fogal, Thomas Proch, Fabian Schiewe, Alexander Hasemann, Olaf Kempf, Andreas Krüger, Jens

ISBN: (纸本)9783905674590

In situ visualization has become a popular method for avoiding the slowest component of many visualization pipelines: reading data from disk. Most previous in situ work has focused on achieving visualization scalability on par with simulation codes, or on the data movement concerns that become prevalent at extreme scales. In this work, we consider in situ analysis with respect to ease of use and programmability. We describe an abstraction that opens up new applications for in situ visualization, and demonstrate that this abstraction and an expanded set of use cases can be realized without a performance cost. © The eurographics Association 2014.

关键词： visualization

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parallel methodologies for a micropolygon renderer

Parallel methodologies for a micropolygon renderer

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2014 eurographics symposium on parallel graphics and visualization, egpgv 2014

作者： Bolstad, Mark A. University of Maryland BaltimoreMD United States

ISBN: (纸本)9783905674590

This paper compares the performance of three different methodologies for a multi-threaded micropolygon-based renderer. We extend the REYES [AG99] algorithm for multi-threaded rendering, which we call CASCADE. CASCADE processes one bucket per thread, forwarding primitives and micropolygons to other buckets/threads through split and dice operations. ROUND-ROBIN runs N single-threaded versions of CASCADE and a compositor, where primitives are distributed to each thread in a semi-random manner. NO-FORWARD executes split and dice operations, but a primitive that spans multiple buckets is processed independently by different threads and the primitives generated through split and dice operations that project outside the current bucket are discarded. In addition, bucket scheduling is used in this case to ensure that no thread is starved for work. Extensive analysis demonstrates that none of these methodologies are clearly superior to the others under all combinations of primitive size, count, transparency, and parallelism, so, a hybrid algorithm is proposed whose performance characteristics make it the best choice under all but the most pathological cases. © The eurographics Association 2014.

关键词： Routers

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parallel progressive mesh editing

Parallel progressive mesh editing

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2014 eurographics symposium on parallel graphics and visualization, egpgv 2014

作者： Derzapf, Evgenij Grund, Nico Guthe, Michael Sirona Dental Systems GmbH Bensheim Germany Universität Bayreuth Visual Computing Germany

ISBN: (纸本)9783905674590

Highly detailed models are commonly used in computer games and other interactive rendering applications. Intuitive editing methods are thus also required in addition to rendering algorithms. Progressive meshes are often employed to improve the rendering performance by reducing the number of rasterized triangles. The classical work flow is to generate a model and then use simplification algorithms to construct the progressive mesh. Thus the whole simplification has to be performed again after editing the model. This does not only require additional processing time but also hinders animations of progressive meshes. Based on this observation we propose a real-time parallel multi resolution modeling algorithm for progressive meshes. It can be used for real-time editing and animation of complex progressive meshes. Due to the progressive representation we can intuitively modify the overall shape or small scale details. To quickly generate a progressive mesh from a complex triangle model we also propose a massively parallel simplification algorithm that generates all required data structures within a few seconds. © The eurographics Association 2014.

关键词： Animation

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A study of parallel data compression using proper orthogonal decomposition on the K computer

A study of parallel data compression using proper orthogonal...

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2014 eurographics symposium on parallel graphics and visualization, egpgv 2014

作者： Bi, Chongke Ono, Kenji Ma, Kwan-Liu Wu, Haiyuan Imamura, Toshiyuki Advanced Institute for Computational Science RIKEN Japan University of California Davis United States Wakayama University Japan

ISBN: (纸本)9783905674590

The growing power of supercomputers continues to improve scientists' ability to model larger, more sophisticated problems in science with higher accuracy. An equally important ability is to make full use of the data output from the simulations to help clarify the modeled phenomena and facilitate the discovery of new phenomena. However, along with the scale of computation, the size of the resulting data has exploded;it becomes infeasible to output most of the data, which defeats the purpose of conducting large-scale simulations. In order to address this issue so that more data may be archived and studied, we have developed a scalable parallel data compression solution to reduce the size of large-scale data with low computational cost and minimal error. We use the proper orthogonal decomposition (POD) method to compress data because this method can effectively extract the main features from the data, and the resulting compressed data can be decompressed in linear time. Our implementation achieves high parallel efficiency with a binary load-distributed approach, which is similar to the binary-swap image composition method. This approach allows us to effectively use all of the processors and to reduce the interprocessor communication cost throughout the parallel compression calculations. The results of tests using the K computer indicate the superior performance of our design and implementation. (c) The eurographics Association 2014.

关键词： Supercomputers

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