Abstract
Now-a-days, photorealistic images are demanded for the realization of scientific models, so we use rendering tools that convert three-dimensional models into highly realistic images. The problem of generating photorealistic images occurs when the three-dimensional model becomes larger and more complex, so the time to generate an image is much greater due to the limitations of hardware resources, about this problem is implemented the render farm, which consists in a set of computers interconnected by a high-speed network that provides a strip of the global image distributed in each participating computers with the intention of reducing the processing time of highly complex computational images. The research was implemented in a high-performance Beowulf group of the Universidad de Ciencias y Humanidades using a total of 18 computers. To demonstrate the efficiency of a rendering farm implementation, scalability tests were performed using a 360° equirrectangular model with a total of 67 million pixels, the work is carried out to achieve highly complex renderings in less time to benefit the direction of the research.
Highlights
A great demand began to grow in the generation of high-realism images where three-dimensional models require greater hardware resources to solve renderings of high complexity due to this need the rendering farms are implemented [1] which are groups of computers that they are interconnected with each other through a network that distributes the work of the images to each participating computers to obtain results of photorealistic images in less time
The problematic of this investigation is the rendering of high realism images that due to the complexity of the project, the rendering processes can take hours or days to return a result of a complex image
The research direction of the Universidad de Ciencias y Humanidades puts at your disposal the use of the high performance Beowulf cluster implemented by [2], which is located in the embedded systems laboratory
Summary
A great demand began to grow in the generation of high-realism images where three-dimensional models require greater hardware resources to solve renderings of high complexity due to this need the rendering farms are implemented [1] which are groups of computers that they are interconnected with each other through a network that distributes the work of the images to each participating computers to obtain results of photorealistic images in less time. The research direction of the Universidad de Ciencias y Humanidades puts at your disposal the use of the high performance Beowulf cluster implemented by [2], which is located in the embedded systems laboratory This work uses this architecture for the integration of a rendering farm using the Python programming language that will determine the amount of participating
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