System Description
Host name: hybrid.ncsa.illinois.edu
Hardware
SuperMicro board
2x 8-core Intel Xeon CPU
E5-2630 v3
@ 2.40GHz
64 GB DDR4
4 PCI-E 3.0 ports
1x 75GB SSD and 6x 4 TB HDDs, arranged as 2x RAID 0 arrays
4x
NVIDIA P100
GPUs
3584 cores
16 GB HBM 2
Software
CentOS 7, 4.9 kernel
CUDA 8.0
need picture
Projects
1. Gravitational waves detection via deep learning
Start date: 03/2017
End date: TBD
PI: Eliu Antonio Huerta Escudero <
elihu@illinois.edu
>
Users:
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
2. Evaluation of TCP-BBR - Google's new congestion control protocol
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
Open issues