Multi-user predictive rendering on remote multi-GPU clusters

Autor: Laurent Lucas, A. Chanonier, Joël Randrianandrasana, H. Deleau, Philippe Porral, M. Krajecki, Thomas G. Müller
Přispěvatelé: Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), PSA Peugeot - Citroën (PSA), PSA Peugeot Citroën (PSA), United Visual Researchers (UVR), NVidia, Lucas, Laurent
Rok vydání: 2018
Předmět:
Exploit
Computer science
Distributed computing
[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]
[INFO.INFO-IM] Computer Science [cs]/Medical Imaging
02 engineering and technology
[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
Multi-user
Rendering (computer graphics)
Computer Graphics-Raytracing
Computer graphics
Computer Graphics-Distributed/Network graphics
Predictive Rendering
Server
[INFO.INFO-DC] Computer Science [cs]/Distributed
Parallel
and Cluster Computing [cs.DC]
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
0202 electrical engineering
electronic engineering
information engineering
0501 psychology and cognitive sciences
Human-centered computing-Collaborative interaction
ComputingMilieux_MISCELLANEOUS
050107 human factors
05 social sciences
020207 software engineering
Load balancing (computing)
[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
Visualization
[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]
Workflow
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
[INFO.INFO-DC]Computer Science [cs]/Distributed
Parallel
and Cluster Computing [cs.DC]
Zdroj: 2018 IEEE Fourth VR International Workshop on Collaborative Virtual Environments (3DCVE)
IEEE VR International Workshop on Collaborative Virtual Environments (3DCVE)
IEEE VR International Workshop on Collaborative Virtual Environments (3DCVE), 2018, Reutlingen, Germany. pp.1-4, ⟨10.1109/3DCVE.2018.8637114⟩
GPU Technology Conference Europe (GTC)
GPU Technology Conference Europe (GTC), NVidia, 2018, Munich, Germany
DOI: 10.1109/3dcve.2018.8637114
Popis: International audience; Many stages of the industry workflow have been benefiting from CAD software applications and real-time computer graphics for decades allowing manufacturers to perform team project reviews and assessments while decreasing the need for expensive physical mockups. However, when it comes to the perceived quality of the final product, more sophisticated physically based engines are often preferred though involving huge computation times. In this context, our work aims at reducing this gap by providing a predictive rendering solution leveraging the computing resources offered by modern multi-GPU supercomputers. To that end, we propose a simple static load balancing approach leveraging the stochastic nature of Monte Carlo rendering. Our solution efficiently exploits the available computing resources and addresses the industry collaboration needs by providing a real-time multiuser web access to the virtual mockup.
Databáze: OpenAIRE
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