Abstract
New graphics APIs require users to implement a lot of needed functionality, such as memory management, by themselves. In this paper we present an abstraction layer build on top of such API, in our case the Vulkan API, for purpose of off-screen rendering of large data. We also present a use case for such abstraction layer implementation – a remote rendering system for simple Path Tracing accessible through web-based client-side application. The preliminary evaluation results show that implementation of simple Path Tracer is significantly faster then comparable implementation in OpenCL. In conclusion we also present possible extension and improvements of the developed abstraction layer.
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References
Sellers, G., Kessenich, J.: Vulkan Programming Guide: The Official Guide to Learning Vulkan. Addison-Wesley Professional, Boston (2016)
Guthe, S., Wand, M., Gonser, J., Strasser, W.: Interactive rendering of large volume data sets, November 2002
Yoon, I., Neumann, U.: Web-based remote renderingwith IBRAC (image-based rendering acceleration and compression). Comput. Graph. Forum 19(3), 321–330 (2000)
Shi, S., Jeon, W.J., Nahrstedt, K., Campbell, R.H.: Real-time remote rendering of 3D video for mobile devices. In: Proceedings of the 17th ACM International Conference on Multimedia, MM 2009, pp. 391–400. ACM, New York (2009)
Karonis, N.T., Papka, M.E., Binns, J., Bresnahan, J., Insley, J.A., Jones, D., Link, J.M.: High-resolution remote rendering of large datasets in a collaborative environment. Future Gener. Comput. Syst. 19(6), 909–917 (2003). 3rd Biennial International Grid Applications-Driven Testbed Event, Amsterdam, The Netherlands, 23–26 September 2002
Arntzen, H.K., et al.: KhronosGroup/SPIRV-Cross. https://github.com/KhronosGroup/SPIRV-Cross. Accessed 15 Feb 2018
Arntzen, H.K.: Using SPIR-V in practice with SPIRVcross (2016). https://www.khronos.org/assets/uploads/developers/library/2016-vulkan-devday-uk/4-Using-spir-v-with-spirv-cross.pdf
Sawicki, A., et al.: Vulkan Memory Allocator 1.0 - GPUOpen. https://gpuopen.com/vulkan-memory-allocator-1-0/. Accessed 15 Feb 2018
Kajiya, J.T.: The rendering equation. In: ACM SIGGRAPH Computer Graphics, vol. 20, pp. 143–150. ACM (1986)
Beason, K.: smallpt: Global Illumination in 99 lines of C++. http://www.kevinbeason.com/smallpt/ (2014). Accessed 15 Feb 2018
Shirley, P., Morley, R.K.: Realistic Ray Tracing, 2nd edn. A. K. Peters, Ltd., Natick (2003)
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Lavrič, P., Bohak, C., Marolt, M. (2018). Vulkan Abstraction Layer for Large Data Remote Rendering System. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2018. Lecture Notes in Computer Science(), vol 10850. Springer, Cham. https://doi.org/10.1007/978-3-319-95270-3_40
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DOI: https://doi.org/10.1007/978-3-319-95270-3_40
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