Ivan Viola, Armin Kanitsar, Meister Eduard Groller
Frequency domain volume rendering (FVR) is a volume rendering technique with lower computational complexity as compared to other techniques. In this paper the FVR algorithm is accelerated by factor of 17 by mapping the rendering stage to the GPU. The overall hardware-accelerated pipeline is discussed and the changes according to previous work are pointed out. […]
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Simon Stegmaier, Thomas Ertl
Feature detection in flow fields is a well researched area, but practical application is often difficult due to the numerical complexity of the algorithms preventing interactive use and due to noise in experimental or high-resolution simulation data sets. We present an integrated system that provides interactive denoising, vortex detection, and visualization of vector data on […]
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Thomas Schiwietz, Rudiger Westermann
Digital Particle Image Velocimetry (PIV) is an optical technique used to measure the velocity of seeded particles in real flow. A CCD camera captures the flow field twice under exposure to a short duration laser flash. Recorded image pairs are cross-correlated to extract velocity information from these records. Time resolved PIV technology can capture images […]
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S. May, M. Klodt, E. Rome, R. Breithaupt
This work focuses on the relevance of visual attention in affordance-inspired robotics. Among all approaches in robotics related to Gibson’s concept of affordances the dealing with attention cues is only rudimentary. We are introducing this concept within the perception layer of our affordance-inspired robotic framework. In this context we present a high-performance visual attention system […]
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I. Buck, T. Foley, D. Horn, J. Sugerman, K. Mike, H. Pat
In this paper, we present Brook for GPUs, a system for general-purpose computation on programmable graphics hardware. Brook extends C to include simple data-parallel constructs, enabling the use of the GPU as a streaming co-processor. We present a compiler and runtime system that abstracts and virtualizes many aspects of graphics hardware. In addition, we present […]
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K. Fatahalian,J. Sugerman,P. Hanrahan
Utilizing graphics hardware for general purpose numerical computations has become a topic of considerable interest. The implementation of streaming algorithms, typified by highly parallel computations with little reuse of input data, has been widely explored on GPUs. We relax the streaming model’s constraint on input reuse and perform an in-depth analysis of dense matrix-matrix multiplication, […]
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