Multilevel Performance Evaluation of Nvidia Grid VCA Using Iray and V-Ray Rendering Engines in 3DS Max Design
Internet of Things and Cloud Computing
Volume 6, Issue 2, June 2018, Pages: 36-48
Received: Mar. 22, 2018; Accepted: Apr. 4, 2018; Published: May 5, 2018
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Authors
Kenneth Ritter III, College of Engineering, University of Louisiana at Lafayette, Lafayette, USA
Aaron Morgan, College of Engineering, University of Louisiana at Lafayette, Lafayette, USA
Charles Taylor, College of Engineering, University of Louisiana at Lafayette, Lafayette, USA
Terrence Chambers, College of Engineering, University of Louisiana at Lafayette, Lafayette, USA
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Abstract
High performance computing is increasingly common in technological industries and there are many different solutions available on the market. Determining which computing solution is most cost-effective can be difficult. This study outlines the performance between a single-user, traditional high-performance workstation and a multi-user, virtualized workstation. Along with this direct performance comparison, the impacts of virtualization on rendering performance, GPUs, and the technological industry is evaluated in this study. Through the repeated rendering of two different Computer-Aided Design (CAD) models under varying test scenarios, a pool of data including render times and image quality is collected and analyzed. Two phenomena are observed and explained. One is a diminishing return in GPU power output that is observed after allocating four or more GPUs to a single rendering task. The second is a noticeable point of image-noise convergence during a render that could potentially be calculated and exploited to make rendering more time-efficient. These discoveries may impact the effectiveness of virtual GPU scalability and make time-consuming rendering more efficient for industry users. The NVIDIA GRID Visual Computing Appliance (VCA) is found to be cost effective for research laboratories that have several users with diverse needs.
Keywords
Rendering, Virtualization, Nvidia Grid Visual Computing Appliance, Graphics Processing Unit Computing, Iray, V-Ray
To cite this article
Kenneth Ritter III, Aaron Morgan, Charles Taylor, Terrence Chambers, Multilevel Performance Evaluation of Nvidia Grid VCA Using Iray and V-Ray Rendering Engines in 3DS Max Design, Internet of Things and Cloud Computing. Vol. 6, No. 2, 2018, pp. 36-48. doi: 10.11648/j.iotcc.20180602.11
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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