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A multilayered image cache for scientific visualization 03

A multilayered image cache for scientific visualization

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ieee symposium on parallel and Large-Data visualization and graphics 2003, PVG 2003

作者： LaMar, E. Pascucci, V. Lawrence Livermore Nat. Lab. BerkeleyCA United States

ISBN: (纸本)078038122X

We introduce a multilayered image cache system that is designed to work with a pool of rendering engines to facilitate a frame-less, asynchronous rendering environment for scientific visualization. Our system decouples the rendering from the display of imagery at many levels;it decouples render frequency and resolution from display frequency and resolution;allows asynchronous transmission of imagery instead of the compute-send cycle of standard parallel systems;and allows local, incremental refinement of imagery without requiring all imagery to be rerendered. Interactivity is accomplished by maintaining a set of image tiles for display while the production of imagery is performed by a pool of processors. The image tiles are placed in fixed places in camera (vs. world) space to eliminate occlusion artifacts. Display quality is improved by increasing the number of image tiles and imagery is refreshed more frequently by decreasing the number of image tiles. © 2003 ieee.

关键词： visualization

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Sort-first, distributed memory parallel visualization and rendering 03

Sort-first, distributed memory parallel visualization and re...

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ieee symposium on parallel and Large-Data visualization and graphics

作者： Bethel, EW Humphreys, G Paul, B Brederson, JD R3vis Corp Novato CA 94948 USA

ISBN: (纸本)078038122X

While commodity computing and graphics hardware has increased in capacity and dropped in cost, it is still quite difficult to make effective use of such systems for general-purpose parallel visualization and graphics. We describe the results of a recent project that provides a software infrastructure suitable for general-purpose use by parallel visualization and graphics applications. Our work combines and extends two technologies: Chromium, a stream-oriented framework that implements the OpenGL programming interface;and OpenRM Scene Graph, a pipelined-parallel scene graph interface for graphics data management, Using this combination we implement a sort-first, distributed memory, parallel volume rendering application. We describe the performance characteristics in terms of bandwidth requirements and highlight key algorithmic considerations needed to implement the sort-first system. We characterize system performance using a distributed memory parallel volume rendering application, and present performance gains realized by using scene specific knowledge to accelerate rendering by reducing network traffic. The contribution of this work is an exploration of general-purpose, sort-first architecture performance characteristics as applied to distributed memory, commodity hardware, along with a description of the algorithmic support needed to realize parallel, sort-first implementations.

关键词： distributed memory visualization parallel visualization parallel scene graph

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SLIC: Scheduled linear image compositing for parallel volume rendering 03

SLIC: Scheduled linear image compositing for parallel volume...

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ieee symposium on parallel and Large-Data visualization and graphics

作者： Stompel, A Ma, KL Lum, EB Ahrens, J Patchett, J Univ Calif Davis Davis CA 95616 USA

ISBN: (纸本)078038122X

parallel volume rendering offers a feasible solution to the large data visualization problem by distributing both the data and rendering calculations among multiple computers connected by a network. In sort-last parallel volume rendering, each processor generates an image of its assigned subvolume, which is blended together with other images to derive the final image. Improving the efficiency of this compositing step, which requires interprocesssor communication, is the key to scalable, interactive rendering. The recent trend of using hardware-accelerated volume rendering demands further acceleration of the image compositing step. This paper presents a new optimized parallel image compositing algorithm and its performance on a PC cluster. Our test results show that this new algorithm offers significant savings over previous algorithms in both communication and compositing costs. On a 64-node PC cluster with a 100BaseT network interconnect, we can achieve interactive rendering rates for images at resolutions up to 1024 x 1024 pixels at several frames per second.

关键词： high-performance computing image compositing parallel rendering PC clusters visualization volume rendering

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A PC cluster system for simultaneous interactive volumetric modeling and visualization 03

A PC cluster system for simultaneous interactive volumetric ...

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ieee symposium on parallel and Large-Data visualization and graphics

作者： Muraki, S Lum, EB Ma, KL Ogata, M Liu, XZ AIST Japan University of California Davis Mitsubishi Precision Co. Ltd. Japan

ISBN: (纸本)078038122X

A number of problems are well suited for volumetric representation for both simulation and storage, however, the large amount of data that needs to be processed and rendered with these volumes makes interactive manipulation extremely challenging. In this paper, we present a scalable PC cluster system (VG cluster) designed specifically to enable simultaneous volumetric computation and visualization, using compositing hardware devices and the latest PC graphics accelerators. We demonstrate the flexibility and performance of this system with several different applications that include reaction-diffusion simulation, volumetric image processing, and vector field visualization. We also discuss how to improve the visual computing performance of this system with some load balancing techniques.

关键词： graphics hardware PC clusters parallel volume rendering reaction-diffusion patterns visual computing volume graphics volume modeling

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A parallel framework for simplification of massive meshes 03

A parallel framework for simplification of massive meshes

引用

ieee symposium on parallel and Large-Data visualization and graphics

作者： Brodsky, D Pedersen, JB Univ British Columbia Dept Comp Sci Vancouver BC V6T 1W5 Canada

ISBN: (纸本)078038122X

As polygonal models rapidly grow to sizes orders of magnitudes bigger than the memory of commodity workstations, a viable approach to simplifying such models is parallel mesh simplification algorithms. A naive approach that divides the model into a number of equally sized chunks and distributes them to a number of potentially heterogeneous workstations is bound to fail. In severe cases the computation becomes virtually impossible due to significant slow downs because of memory thrashing. We present a general parallel framework for simplification of very large meshes. This framework ensures a near optimal utilization of the computational resources in a cluster of workstations by providing an intelligent partitioning of the model. This partitioning ensures a high quality output, low runtime due to intelligent load balancing, and high parallel efficiency by providing total memory utilization of each machine, thus guaranteeing not to trash the virtual memory system. To test the usability of our framework we have implemented a parallel version of R-Simp [Brodsky and Watson 2000].

关键词： Workstations Computer science Computational intelligence Machine intelligence Usability Partitioning algorithms Educational institutions Runtime Load management Testing

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Distributed interactive ray tracing for large volume visualization 03

Distributed interactive ray tracing for large volume visuali...

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ieee symposium on parallel and Large-Data visualization and graphics

作者： DeMarle, DE Parker, S Hartner, M Gribble, C Hansen, C Univ Utah Salt Lake City UT 84112 USA

ISBN: (纸本)078038122X

We have constructed a distributed parallel ray tracing system that interactively produces isosurface renderings from large data sets on a cluster of commodity PCs. The program was derived from the SCI Institute's interactive ray tracer (*-Ray), which utilizes small to large shared memory platforms, such as the SGI Origin series, to interact with very large-scale data sets. Making this approach work efficiently on a cluster requires attention to numerous system-level issues, especially when rendering data sets larger than the address space of each cluster node. The rendering engine is an image parallel ray tracer with a supervisor/workers organization. Each node in the cluster runs a multi-threaded application. A minimal abstraction layer on top of TCP links the nodes, and enables asynchronous message handling. For large volumes, render threads obtain data bricks on demand from an object-based software distributed shared memory. Caching improves performance by reducing the amount of data transfers for a reasonable working set size. For large data sets, the cluster-based interactive ray tracer performs comparably with an SGI Origin system. We examine the parameter space of the renderer and provide experimental results for interactive rendering of large (7.5 GB) data sets.

关键词： visualization interactive ray tracing large data cluster computing distributed shared memory

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Real-time volume rendering of time-varying data using a fragment-shader compression approach 03

Real-time volume rendering of time-varying data using a frag...

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ieee symposium on parallel and Large-Data visualization and graphics

作者： Binotto, APD Comba, JLD Freitas, CMD Univ Fed Rio Grande do Sul Inst Informat Porto Alegre RS Brazil

ISBN: (纸本)078038122X

The recent advance of graphics hardware allowed real-time volume rendering of structured grids using a 3D texturing approach. The next challenging problem is to extend the algorithms to time-varying volumetric data (4D functions), which consume more storage and are not directly supported in current graphics hardware. In this work we present a new visualization technique that includes (1) a compression scheme of sparse 4D functions into 3D textures, and (2) a visualization algorithm that decompress the stored data from the 3D textures using the programmability of fragment shaders, allowing real-time visualization of such data. We illustrate the system in action with datasets resulting from computational fluid dynamics simulations.

关键词： compression volume rendering graphics hardware

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From cluster to wall with VTK 03

From cluster to wall with VTK

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ieee symposium on parallel and Large-Data visualization and graphics

作者： Moreland, K Thompson, D Sandia Natl Labs Livermore CA 94550 USA

ISBN: (纸本)078038122X

This paper describes a new set of parallel rendering components for VTK, the visualization Toolkit. The parallel rendering units allow for the rendering of vast quantities of geometry with a focus on cluster computers. Furthermore, the geometry may be displayed on tiled displays at full or reduced resolution. We demonstrate an interactive VTK application processing an isosurface consisting of nearly half a billion triangles and displaying on a power wall with a total resolution of 63 million pixels. We also demonstrate an interactive VTK application displaying the same geometry on a desktop connected to the cluster via a TCP/IP socket over 100BASE-T Ethernet.

关键词： parallel rendering desktop delivery tile display PC cluster Chromium VTK

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parallel cell projection rendering of adaptive mesh refinement data 03

Parallel cell projection rendering of adaptive mesh refineme...

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ieee symposium on parallel and Large-Data visualization and graphics

作者： Weber, GH Öhler, M Kreylos, O Shalf, JM Bethel, EW Hamann, B Scheuermann, G Univ Calif Davis Dept Comp Sci CIPIC Davis CA 95616 USA

ISBN: (纸本)078038122X

Adaptive Mesh Refinement (AMR) is a technique used in numerical simulations to automatically refine (or de-refine) certain regions of the physical domain in a finite difference calculation. AMR data consists of nested hierarchies of data grids. As AMR visualization is still a relatively unexplored topic, our work is motivated by the need to perform efficient visualization of large AMR data sets. We present a software algorithm for parallel direct volume rendering of AMR data using a cell-projection technique on several different parallel platforms. Our algorithm can use one of several different distribution methods, and we present performance results for each of these alternative approaches. By partitioning an AMR data set into blocks of constant resolution and estimating rendering costs of individual blocks using an application specific benchmark, it is possible to achieve even load balancing.

关键词： volume rendering adaptive mesh refinement load balancing. multi-arid methods parallel rendering visualization

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The feature tree: Visualizing feature tracking in distributed AMR datasets 03

The feature tree: Visualizing feature tracking in distribute...

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ieee symposium on parallel and Large-Data visualization and graphics

作者： Chen, J Silver, D Jiang, L Rutgers State Univ Dept Elect & Comp Engn Piscataway NJ 08855 USA

ISBN: (纸本)078038122X

In this paper, we describe a feature extraction and tracking algorithm for AMR (Adaptive Mesh Refinement) datasets that operates within a distributed computing environment. Because features can span multiple refinement levels and multiple processors, tracking must be performed across time, across levels, and across processors. The resulting visualization is represented as a "Feature Tree". A feature will now contain multiple parts corresponding to different levels of refinements. The feature tree allows a viewer to determine that a feature splits or merges at the next refinement level, and allows a viewer to extract and isolate a multi-level isosurface and watch how that surface changes over both time and space. The algorithm is implemented within a computational steering environment which enables the visualization routines to operate on the data in-situ (while the simulation is ongoing).

关键词： scientific visualization AMR visualization feature tracking distributed visualization problem solving environment

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