| Title |
Large Data Visualization |
| Abstract |
This module provides an introduction to concepts of visualization with a focus on parallel computing techniques to handle large datasets. It should clarify some of the choices you have when configuring visualization tools such as ParaView for use on Stampede2 or Frontera. |
| Authors |
['Aaron Birkland (original author), Adam Brazier'] |
| Expertise Level |
None |
| Learning Outcome |
None |
| Learning Resource Type |
asynchronous online training |
| Target Group |
['Researchers', 'Research groups', 'Student'] |
| Keywords |
['data visualization', 'pipeline', 'task parallelism', 'projection', 'data parallelism', 'remote visualization', 'clipping'] |
| Cost |
None |
| Duration |
240 |
| Language |
en |
| License |
None |
| Resource URL Type |
URL |
| Start Datetime |
None |
| URL |
https://cvw.cac.cornell.edu/large-data-vis |
| Version Date |
2023-03 |
| Provider ID |
urn:ogf.org:glue2:access-ci.org:resource:cider:infrastructure.organizations:898 |
| Rating |
None |
