Add to ORKGPrevious studies on photo-realistic volume rendering have failed to optimize for performance with respect to the cache-hierarchy. With this thesis, we consider a tile-based approach for photo-realistic volume rendering, in an effort to improve cache performance and decrease overall execution time. We evaluated the algorithm compared to the traditional approach, with workloads of varying data sizes, resolutions, samples per pixel. Overall we ran 48 serial experiments, and found that the tile-based approach is consistently faster than the traditional approach, including speedups of up to 20%. Additionally we determine that the improvement does not carry forward directly to parallel platforms like Intel TBB
We introduce a novel texture-based volume rendering approach that achieves the image quality of the ...
In computer graphics, the goal of photorealistic rendering algorithms is to create con-vincing image...
With the computing industry trending towards multi- and many-core processors, we study how a standa...
A major challenge when designing general purpose graphics hardware is to allow efficient access to t...
The texture-based volume rendering is a memory-intensive algorithm. Its performance relies heavily o...
The Volume Ray-Casting rendering algorithm, often used to produce medical imaging, is a well-known a...
Volume Rendering methods employing the GPU capabilities offer high performance on off-the-shelf hard...
We introduce a parallel, distributed memory algorithm for volume rendering massive data sets. The al...
Volume rendering with texture mapping hardware is a fast volume rendering method available on high-e...
Given the computing industry trend of increasing processing capacity by adding more cores to a chip,...
In this paper we present a multi-GPU parallel volume rendering implemention built using the MapReduc...
We present a novel approach to accelerate direct volume rendering of large data sets using texture m...
We present an image-based rendering technique to accelerate surfaces rendering from volume data. We ...
Non-photorealistic rendering can be used to illustrate subtle spa-tial relationships that might not ...
Abstract. We present an image-based rendering technique to accelerate render-ing of surfaces from vo...
We introduce a novel texture-based volume rendering approach that achieves the image quality of the ...
In computer graphics, the goal of photorealistic rendering algorithms is to create con-vincing image...
With the computing industry trending towards multi- and many-core processors, we study how a standa...
A major challenge when designing general purpose graphics hardware is to allow efficient access to t...
The texture-based volume rendering is a memory-intensive algorithm. Its performance relies heavily o...
The Volume Ray-Casting rendering algorithm, often used to produce medical imaging, is a well-known a...
Volume Rendering methods employing the GPU capabilities offer high performance on off-the-shelf hard...
We introduce a parallel, distributed memory algorithm for volume rendering massive data sets. The al...
Volume rendering with texture mapping hardware is a fast volume rendering method available on high-e...
Given the computing industry trend of increasing processing capacity by adding more cores to a chip,...
In this paper we present a multi-GPU parallel volume rendering implemention built using the MapReduc...
We present a novel approach to accelerate direct volume rendering of large data sets using texture m...
We present an image-based rendering technique to accelerate surfaces rendering from volume data. We ...
Non-photorealistic rendering can be used to illustrate subtle spa-tial relationships that might not ...
Abstract. We present an image-based rendering technique to accelerate render-ing of surfaces from vo...
We introduce a novel texture-based volume rendering approach that achieves the image quality of the ...
In computer graphics, the goal of photorealistic rendering algorithms is to create con-vincing image...
With the computing industry trending towards multi- and many-core processors, we study how a standa...