Compute Systems – Pascal and Family


In 2017 NVIDIA’s Educator GPU Grant program made specialized hardware available to several groups at the University. Two Titan X Pascals were provided. One was given to CIS in response to a proposal submitted by CIS faculty and Professor Jon Beagley of MST. The other was sent to Electrical and Computer Engineering and was later generously transferred to CIS. These were combined with assets provided by the University’s central IT team and Steve Vittitoe, a local University benefactor. This set of components allowed students and staff to build a new specialized server named

It provides MST/CIS faculty and other collaborators with a locally administered asset for complex numerical work. This asset is now complemented by additional systems (below) and the NSF XSEDE program.

A second generation of servers, built based on the experience of constructing and operating these systems, has since been built; information is available here.



  • Two NVIDIA Titan X Pascal GPUs (~7000 CUDA cores)
  • Two Intel – Xeon E5-2620 v4 x86-64 V4 2.1GHz 8-Core Processors (16 physical cores)
  • added: NVIDIA SLI Bridge unit to link the GPU cards [‘4 slot’]
  • Motherboard – Supermicro MBD-X10DAX EATX Dual-CPU LGA2011-3


  • 1 TB SSD (“/” – OS/application storage) [upgrade from original 120 GB SSD, Jan. 2021]
  • 120 GB SSD (swap partition)
  • 120 GB SSD (/media/storage0)
  • 3 TB 7200 RPM Standard HDD (/media/storage)
  • 3 TB Variable-speed Standard HDD [Western Digital ‘green’] (/media/storage2)
  • 3 TB Variable-speed Standard HDD [Western Digital ‘green’] (/media/storage3)
  • See also: Network & Support Systems


  • System: 128 GB Registered DDR4-2133 SDRAM (upgrade from 64 GB initial configuration on 7/10/2018)
  • Titan X Pascal:12 GB RAM per card (24 GB total)


  • EVGA SuperNOVA G2 1300W 80+ Gold Fully-Modular ATX PSU, attached to an
  • external UPS unit – a CyberPower Systems LX1500GU (1500VA AVR)


  • Corsair – H100i Liquid CPU Cooler
  • Corsair – H80i Liquid CPU Cooler
  • Large case and power supply fans

Current software:

  • OS: GNU/Linux Ubuntu 20.04.1 (upgraded Fall 2019 to 18.04; originally GNU/Linux Ubuntu 16.04.3 LTS)
  • Libraries: CUDA suite(s) v9.2, 10.0, 10.1 (/usr/local/CUDA) [Driver Version: 440]
  • Languages: Oracle/Sun Java 11, GNU Fortran, GNU C, GNU C++, Python v2 (python); Python v3 (python3)

Pascal has access to /mnt/sharedFiles and /mnt/diskBox – NFS shares linked to the various compute systems.

[Particular thanks to Charles Morris, the first principal student sysadmin, who helped build the system.]

“The Mathematicians” I

A set of additional machines was brought online in stages beginning in Spring 2019, all running GNU/Linux Ubuntu 20.04 LTS with upgraded power supplies, etc. These are:

  • (Intel Core i3-6100 2-Core @ 3.70GHz /  20 GB RAM; GEFORCE GTX 1060) ^
  • (AMD Ryzen 5 1600X @ 3.60 GHz / 32 GB RAM; GEFORCE GTX 1060) ^
  • (Intel Celeron G3930 2-Core @ 2.90GHz / 16 GB RAM; GEFORCE GTX 1060)
  • (Intel Core i5-4570 4-Core @ 3.20GHz / 32 GB RAM; GEFORCE GTX 660) ^
  • (Two Intel Xeons E5-2667 @ 2.9 GHz – 12 cores total / 48 GB ECC RAM; Quadro K2000) ^^ *
  • (Two Intel Xeons E5-2630 @ 2.30GHzl – 12 cores total / 48 GB ECC RAM; Quadro K2000) ^^

[* thanks to Aaron Adams MS ’19, who donated both “germain” and his time to make it fully operational.]

Additional Software

See the Cluster Use page for more info, and

[Thanks also to Dane Towner and Erik Kispert for many assists with system build-out and various software help.].