About
Deep Learning is revolutionizing the fields of computer vision, speech recognition and control systems. In recent years, a number of scientific domains (climate, high-energy physics, nuclear physics, astronomy, cosmology, etc) have explored applications of Deep Learning to tackle a range of data analytics problems. As one attempts to scale Deep Learning to analyze massive scientific datasets on HPC systems, data management becomes a key bottleneck. This talk will explore leading scientific use cases of Deep Learning in climate, cosmology, and high-energy physics on NERSC and OLCF platforms; enumerate I/O challenges and speculate about potential solutions..
0:00:00 Slide 1
0:00:07 Slide 2
0:01:12 Slide 3
0:02:30 Slide 4
0:04:45 Slide 5
0:04:49 Slide 6
0:05:00 Slide 7
0:05:36 Slide 8
0:07:42 Slide 9
0:09:00 Slide 10
0:10:36 Slide 11
The talk
Credits and licence
- Institution
- CERN
- Department
- other events or meetings
- Speaker
- Quincey Koziol
- Year
- 2019
- Language
- English
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed