Distributed rendering system for 3D animations with Blender

Patil, Ganesh V.; Deshpande, Santosh L.

doi:10.1109/icaecct.2016.7942562

Cited by 16 publications

(10 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This solution is effective since pixel computation is independence to each other; a value on one pixel does not affect the other pixel. Research by Nonaka et al [3], Kantert et al [4], and Patil et al [5] are a few examples of research in using multiple computers to render complex image. Cao et al developed a distributed multi-GPU solution to perform parallel rendering [6].…”

Section: Related Workmentioning

confidence: 99%

Desktop Based Volunteer Computing Application to Perform Distributed Rendering

2019

ijrte

View full text Add to dashboard Cite

The ability of computer to communicate to other computer gives a possibility to perform collaboration of multiple nodes to perform a complex computation. Distributed computing is one of the many solutions that use this idea. However, forming a set of computers dedicated to performing a single task may be too expensive. In this paper, we present a desktop based volunteered computing as an alternative to distributed computing. The system is able to perform distributed rendering on computer that voluntarily run the program. In the test, we use 5 computers with different specification connected to the server through the internet. By using this system, we were able to render a 3D scene collaboratively on 5 computers.

show abstract

Section: Related Workmentioning

confidence: 99%

Desktop Based Volunteer Computing Application to Perform Distributed Rendering

2019

ijrte

View full text Add to dashboard Cite

show abstract

“…In dynamic load balancing [1,4,5,9,11,12,24,26,27,28,29], run time decision making is done which results better resource provisioning whereas in static compile time decision making is done.…”

Section: Related Workmentioning

confidence: 99%

Dynamic load balancing in image retargeting using pipeline architecture

Patil¹,

Deshpande²

2018

PEN

Self Cite

View full text Add to dashboard Cite

In today's smart world demand of efficient multimedia based communication has increased at a rapid rate. Diversity on display sizes of gadgets used for multimedia communication confines the quality of images. Image retargeting is used as the focal solution to this problem which results in images with appropriate sizes. Enormously mounting demand of image retargeting expedites the rate of increment in computational load. This research paper expatiate and experiments a dynamic load balancing based three phase image retargeting methodology using pipeline architecture. In the first phase of image retargeting resize operation is performed on input image which results in multiple sized image copies of the same image. In the second phase resized images undergo quantization operation. In the final phase lossless compression is performed to have an expedient image. In the proposed exhibit think, we have done statistical analysis of results obtained, to confirm an impartial dynamic load balancing with a better degree of underlying resource utilization. We extend the approach to achieve significant storage optimization using three phase image retargeting.

show abstract

“…Rendering is the process of generating high-resolution photorealistic or non-photorealistic 2D images from 2D or 3D models [1][2][3]. Rendering is widely used in animations, video games and visual effects in movies, where more than 24 frames should be generated per second.…”

Section: Introductionmentioning

confidence: 99%

File Type and Access Pattern Aware Buffer Cache Management for Rendering Systems

Shin¹,

Cho

Bahn³

2020

Electronics

View full text Add to dashboard Cite

Rendering is the process of generating high-resolution images by software, which is widely used in animation, video games and visual effects in movies. Although rendering is a computation-intensive job, we observe that storage accesses may become another performance bottleneck in desktop-rendering systems. In this article, we present a new buffer cache management scheme specialized for rendering systems. Unlike general-purpose computing systems, rendering systems exhibit specific file access patterns, and we show that this results in significant performance degradation in the buffer cache system. To cope with this situation, we collect various file input/output (I/O) traces of rendering workloads and analyze their access patterns. The results of this analysis show that file I/Os in rendering processes consist of long loops for configuration, short loops for texture input, random reads for input, and single-writes for output. Based on this observation, we propose a new buffer cache management scheme for improving the storage performance of rendering systems. Experimental results show that the proposed scheme improves the storage I/O performance by an average of 19% and a maximum of 55% compared to the conventional buffer cache system.

show abstract

Distributed rendering system for 3D animations with Blender

Cited by 16 publications

References 5 publications

Desktop Based Volunteer Computing Application to Perform Distributed Rendering

Desktop Based Volunteer Computing Application to Perform Distributed Rendering

Dynamic load balancing in image retargeting using pipeline architecture

File Type and Access Pattern Aware Buffer Cache Management for Rendering Systems

Contact Info

Product

Resources

About