Projects

1. Gravitational wave detection via deep learning

Start date: 03/2017
End date: TBD
PI: Eliu Antonio Huerta Escudero <elihu@illinois.edu>
- Users: Daniel George: dgeorge5, Miguel Holgado: holgado2, Eliu Huerta: elihu, Daniel Johnson: dsjohns2, Michael Usachenko: usachenk, Hsi-Yu Schive: hyschive
Objective: Develop deep learning based methodology for gravitational wave detection in support of LAGO project.
- This is a dedicated platform for this specific project because developers need interactive GUI-based access to the system.
Current status
- 03/01/17: 4x P100 donated by NVIDIA were installed
- 03/17: access granted.
Open issues
- need to mount RAID0 arrays and setup user space on them

Start date: 02/2017
End date: 05/2017
PI: Luda
- Users: xnie8, yanzhan2
Objective: Evaluate new congestion control algorithm that should help with long-distance data transfer of large datasets.
- TCP-BBR: Google’s new congestion control algorithm
- This required 4.9 kernel.
Current status
- 02/17: system configured, access granted
- 03/17: waiting for availability of servers abroad
- 03/29: tests with public bwctl servers completed.
- 04/07: file transfer tests with international partners in Sudan and UK in progress
Open issues

...