Render farm based on CPU cluster

A technology of GPU clusters and farms, applied in the field of rendering farms, can solve the problems of reducing animation product production efficiency, affecting work delivery, and unable to meet actual needs, etc., to achieve the effect of saving energy consumption, reducing input costs, and improving rendering speed

Inactive Publication Date: 2009-11-25
CHANGCHUN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If you want to render an animated feature film, it may take several months to complete, which reduces the production efficiency of animation products and even affects the timely delivery of works
It is no longer possible to improve work efficiency by relying on the performance of a single machine to meet actual needs. Rendering farms emerged under this background

Method used

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  • Render farm based on CPU cluster
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Experimental program
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Embodiment Construction

[0017] All computers in the production system (1) share the same network and are connected to the gigabit switch (2);

[0018] The rendering control and task distribution node (3) is equipped with dual network cards, one of which is connected to the gigabit switch (2) for receiving animation files delivered by the production system (1), and the other is connected to the gigabit Ethernet (4 ), used to send rendering tasks;

[0019] The data of the Gigabit switch (2) and Gigabit Ethernet (4) are completely isolated at the rendering control and task distribution node (3), thereby reducing the network data load, increasing the network transmission rate, and accelerating the animation rendering process;

[0020] The rendering control and task distribution node (3) decomposes the animation file into several rendering tasks and assigns them to each CPU+GPU heterogeneous twin rendering node (7) in the CPU+GPU heterogeneous twin rendering node group (5). This process is Dynamically, t...

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Abstract

The present invention discloses a render farm based on CPU cluster. A distributed parallel cluster rendering system is constructed with high-efficiency low-energy-consumption CPUs so that the computing power obtains and even exceeds the computing performance of a supercomputer. The invention settles a batch rendering problem in the digital innovation producing process. Through using the render farm based on the CPU cluster according to the invention, the producing of the three-dimensional cartoon, special effect of video image, architecture designing, etc. can be completed with a high efficiency. The render farm based on CPU cluster according to the invention further has the advantages of increasing the rendering speed for more than 40 times, reducing the investment cost of building the render farm for 20%-70%, and saving the energy consumption in the production process for 60%-80%.

Description

technical field [0001] The present invention relates to a GPU cluster-based rendering farm (English: Render Farm), which is widely applicable to digital creativity and production fields related to graphic design, such as 3D animation, film and television production, architectural design, etc., and solves the problem of batch rendering in the process of digital creativity , quickly obtain graphic design models or real-effect image files of lens scenes. Background technique [0002] Rendering is an indispensable production link in the fields of digital media production and design. Due to the complexity and high resolution of today's 3D model generation, dynamic media synthesis, and visual effects production, there are very high requirements for the processing capabilities of rendering machines. Rendering becomes the main bottleneck. The more detailed and complex the image, the more calculations are required to produce the final image or animation sequence. An image can take ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00G06T1/20G06T15/00H04L12/56H04L12/70
Inventor 范静涛杨华民丁莹韩成陈纯毅李岩芳
Owner CHANGCHUN UNIV OF SCI & TECH
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