Computing

Advanced Research Computing offers several distinct high-performance computing systems to Virginia Tech researchers and collaborators, listed below. Click on a link to read more about a given resource.

NAME HUCKLEBERRY CASCADES DRAGONSTOOTH NEWRIVER
Vendor/Model IBM HP Lenovo Dell
Key Features, Uses Deep learning applications Data Intensive Problems Single-node, long jobs Data Intensive Problems
Login Node
(xxx.arc.vt.edu)
huckleberry1 cascades1 or cascades2 dragonstooth1 newriver1 or newriver2
Available August 2018 October 2016, Expanded April 2018 August 2016 August 2015, Expanded June 2017
Operating System CentOS Linux 7 CentOS Linux 7 CentOS Linux 7 CentOS Linux 7
Theoretical Peak (TFlops/s) 820.6 38.7 536.1
Nodes 14 236 48 165
Cores 280 7,288 1,152 4,380
Cores/Node 20 24-72 24 24-60
CPU Model Power8 Varies by node type Intel Xeon E5-2680v3 (Haswell) Varies by node type
CPU Speed 3.26 GHz 2.1-3.0 GHz 2.50 GHz 2.4-2.8 GHz
Accelerators/Coprocessors 56 88 N/A 86
Accelerator Model NVIDIA P100 NVIDIA V100, NVIDIA Tesla K80 N/A NVIDIA P100,* NVIDIA Tesla K80**
Accelerators/Node 4 2* N/A 2*, 1**
Memory Size 44.6 TB 12.0 TB 41.3 TB
Memory/Core 4.0-42.7 GB 10.6 GB 5.3-51.2 GB
Memory/Node 256 GB 128 GB** 256 GB 128 GB***
Interconnect EDR InfiniBand EDR InfiniBand 10 GbE EDR InfiniBand
Notes *For GPU-enabled nodes
**2 nodes have 3 TB; 40 V100 nodes have 376 GB
All nodes have locally mounted SSDs
*For 39 GPU nodes
**For 8 vis nodes
***63 nodes have 512 GB & 2 nodes have 3TB