Scalable interactive volume rendering using off-the-shelf components

Lombeyda, Santiago; Moll, Laurent; Shand, M.; Breen, David E.; Heirich, Alan

doi:10.1109/pvgs.2001.964412

Cited by 36 publications

(34 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hardware-based image compositing equipment and solutions such as Lighting-2 [14] and Sepia-2 [6] have also been introduced. Although these methods achieve impressive compositing speed and high scalability, the cost for building a large-scale visualization system using such hardware devices could be prohibitively expensive.…”

Section: Related Workmentioning

confidence: 99%

Massively parallel volume rendering using 2--3 swap image compositing

Wang

Liu

2008

ACM SIGGRAPH ASIA 2008 Courses on - SIGGRAPH Asia '08

View full text Add to dashboard Cite

The ever-increasing amounts of simulation data produced by scientists demand high-end parallel visualization capability. However, image compositing, which requires interprocessor communication, is often the bottleneck stage for parallel rendering of large volume data sets. Existing image compositing solutions either incur a large number of messages exchanged among processors (such as the direct send method), or limit the number of processors that can be effectively utilized (such as the binary swap method). We introduce a new image compositing algorithm, called 2-3 swap, which combines the flexibility of the direct send method and the optimality of the binary swap method. The 2-3 swap algorithm allows an arbitrary number of processors to be used for compositing, and fully utilizes all participating processors throughout the course of the compositing. We experiment with this image compositing solution on a supercomputer with thousands of processors, and demonstrate its great flexibility as well as scalability.

show abstract

Section: Related Workmentioning

confidence: 99%

Massively parallel volume rendering using 2--3 swap image compositing

Wang

Liu

2008

ACM SIGGRAPH ASIA 2008 Courses on - SIGGRAPH Asia '08

View full text Add to dashboard Cite

show abstract

“…Due to its conceptual simplicity, a number of special-purpose image compositing hardware solutions for sort-last parallel rendering have been developed. The proposed hardware architectures include Sepia [38,32], Sepia 2 [35,36], Lightning 2 [52], Metabuffer [9,59], MPC Compositor [43] and PixelFlow [40,17], of which only a few have reached the commercial product stage (i.e. Sepia 2 and MPC Compositor).…”

Section: Special-purpose Architecturesmentioning

confidence: 99%

Equalizer: A Scalable Parallel Rendering Framework

Eilemann

Makhinya

Pajarola

2009

IEEE Trans. Visual. Comput. Graphics

141

View full text Add to dashboard Cite

Abstract-Continuing improvements in CPU and GPU performances as well as increasing multi-core processor and cluster-based parallelism demand for flexible and scalable parallel rendering solutions that can exploit multipipe hardware accelerated graphics. In fact, to achieve interactive visualization, scalable rendering systems are essential to cope with the rapid growth of data sets. However, parallel rendering systems are non-trivial to develop and often only application specific implementations have been proposed. The task of developing a scalable parallel rendering framework is even more difficult if it should be generic to support various types of data and visualization applications, and at the same time work efficiently on a cluster with distributed graphics cards. In this paper we introduce a novel system called Equalizer, a toolkit for scalable parallel rendering based on OpenGL which provides an application programming interface (API) to develop scalable graphics applications for a wide range of systems ranging from large distributed visualization clusters and multi-processor multipipe graphics systems to single-processor single-pipe desktop machines. We describe the system architecture, the basic API, discuss its advantadges over previous approaches, present example configurations and usage scenarios as well as scalability results.

show abstract

“…Lombeyda et.al. [Lombeyda et al 2001] introduces the Sepia-2 compositing network. This system connects N COTS rendering devices in a daisy-chain, with the output of one device is fed into the input of the next in chain, and the final device is the display.…”

Section: Related Workmentioning

confidence: 99%

A multilayered image cache for scientific visualization

LaMar

Pascucci

IEEE Sensors Journal

View full text Add to dashboard Cite

We introduce a multi-layered 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 re-rendered.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.

show abstract

Scalable interactive volume rendering using off-the-shelf components

Cited by 36 publications

References 20 publications

Massively parallel volume rendering using 2--3 swap image compositing

Massively parallel volume rendering using 2--3 swap image compositing

Equalizer: A Scalable Parallel Rendering Framework

A multilayered image cache for scientific visualization

Contact Info

Product

Resources

About