Abstract
The Volume Ray-Casting rendering algorithm, often used to produce medical imaging, is a well-known algorithm and the underlying computation can be easily executed in parallel. This is due to the fact that the huge number of rays, used to sample the volumetric data, can be processed independently. However, the algorithm’s performance may drop substantially when the complexity/size of the volumetric dataset increases. In this paper, we present three implementations of our parallel volume ray-casting algorithm in different multi-core architectures, such as CMPs, GPUs and MPSoCs. Furthermore, we show that using multi-GPUs, that perform in parallel, we can almost halve the rendering time. The performance and aspects of the three implementations are discussed.
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Nery, A.S., Nedjah, N., França, F.M.G., Jozwiak, L. (2013). Interactive Volume Rendering Based on Ray-Casting for Multi-core Architectures. In: Daydé, M., Marques, O., Nakajima, K. (eds) High Performance Computing for Computational Science - VECPAR 2012. VECPAR 2012. Lecture Notes in Computer Science, vol 7851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38718-0_19
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DOI: https://doi.org/10.1007/978-3-642-38718-0_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38717-3
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