Journal of Robotics, Networking and Artificial Life

Volume 6, Issue 2, September 2019, Pages 101 - 104

High-performance Computing for Visual Simulations and Rendering

Authors
Jasmine Wu*, Chia-Chen Kuo
Innovation Applications, National Center for High-performance Computing, National Applied Research Laboratories, Hsinchu 300, Taiwan
*Corresponding author. Email: 1803040@narlabs.org.tw
Corresponding Author
Jasmine Wu
Received 12 November 2018, Accepted 26 November 2018, Available Online 10 September 2019.
DOI
10.2991/jrnal.k.190828.006How to use a DOI?
Keywords
Render farm; visual simulation; virtual desktop infrastructure; high-performance computing
Abstract

National Center for High-performance Computing (NCHC) built a render farm that provides a platform for the industry to render their work in a much more efficient timeframe, allowing for both central processing unit (CPU) and graphics processing unit (GPU) rendering. The throughput has also been greatly improved to support complex and large scale simulations. The main goal of this session is to introduce the improvements and new applications of NCHC’s render farm.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)
View full text (HTML)

Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
6 - 2
Pages
101 - 104
Publication Date
2019/09/10
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.k.190828.006How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Jasmine Wu
AU  - Chia-Chen Kuo
PY  - 2019
DA  - 2019/09/10
TI  - High-performance Computing for Visual Simulations and Rendering
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 101
EP  - 104
VL  - 6
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.190828.006
DO  - 10.2991/jrnal.k.190828.006
ID  - Wu2019
ER  -