Distributed Multi-GPU Accelerated Hybrid Parallel Rendering for Massively Parallel Environment

Cao, Yi; Wang, Huawei; Ai, Zhiwei

doi:10.1109/icvrv.2014.50

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…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]. Zotos et al developed a distributed rendering application using Xbox 360 systems and personal computers as volunteers [7].…”

Section: Related Workmentioning

confidence: 99%

Desktop Based Volunteer Computing Application to Perform Distributed Rendering

2019

ijrte

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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.

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Section: Related Workmentioning

confidence: 99%

Desktop Based Volunteer Computing Application to Perform Distributed Rendering

2019

ijrte

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“…GPU clusters are used where two or more computers with GPUs are networked together and share the computational load. This has significant advantages as the extremely parallel hardware architecture and high performance of floating point arithmetic and memory operations on GPU's, allow them to handle similar scientific and engineering workloads of high performance computing (HPC) clusters [9][10][11][12]. This leads to GPU incorporation as HPC accelerators that use the GPU and CPU combined to accelerate scientific, analytics, engineering, consumer, and enterprise applications.…”

Section: Cloud Computingmentioning

confidence: 99%

Multilevel Performance Evaluation of Nvidia Grid VCA Using Iray and V-Ray Rendering Engines in 3DS Max Design

Ritter

Morgan

Taylor

et al. 2018

IOTCC

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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 multiuser , 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.

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A composition-free parallel volume rendering method

Wang

Deng

et al. 2021

J Vis

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Distributed Multi-GPU Accelerated Hybrid Parallel Rendering for Massively Parallel Environment

Cited by 6 publications

References 9 publications

Desktop Based Volunteer Computing Application to Perform Distributed Rendering

Desktop Based Volunteer Computing Application to Perform Distributed Rendering

Multilevel Performance Evaluation of Nvidia Grid VCA Using Iray and V-Ray Rendering Engines in 3DS Max Design

A composition-free parallel volume rendering method

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