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The table below describes the available RCTF BRCF PODs, servers and currently available groups.

POD nameDescriptionRCTF BRCF delegatesCompute serversStorage serverUnix Groups
Lambowitz /CCBB POD

Shared POD for use by CCBB affiliates and the Alan Lambowitz lab.

Contact Hans Hofmann, CCBB Director, for more information. 


  • Rebecca Young Brim (Hofmann lab)
  • Douglas Wu (Lambowitz lab)
  • Katie Lyons (Hillis lab)
  • lambcomp01.ccbb.utexas.edu
    • Dell PowerEdge R410
    • dual 4-core/8-thread CPUs
    • 64 GB RAM
  • ccbbcomp01.ccbb.utexas.edu
    • Dell PowerEdge R420
    • dual 4-core CPUs
    • 96 GB RAM
  • ccbbcomp02.ccbb.utexas.edu
    • Dell PowerEdge R720
    • dual  6-core/12-thread CPUs
    • 192 GB RAM
lambstor01.ccbb.utexas.edu

Lambowitz groups:
Lambowitz, LambGuest

CCBB groups:
Cannatella, Hawkes, Hillis, Hofmann, Jansen

 

Instructional groups:
FRI-BigDataBio-2016


GSAF POD

Shared POD for use by GSAF customers. 2TB Work area allocation available for participating groups.

Contact Mike Wilson, GSAF Director, Anna Battenhouse, for more information.

  • Dhivya Arasappan
  • Anna Battenhouse
  • gsafcomp01.ccbb.utexas.edu
  • gsafcomp02.ccbb.utexas.edu
    • Dell PowerEdge R410
    • dual 4-core/8-thread CPUs
    • 64 GB RAM
  • gsafcbig01.ccbb.utexas.edu
    • Dell PowerEdge R720
    • dual  6-core/12-thread CPUs
    • 192 GB RAM
  • gsafcbig02.ccbb.utexas.edu (aka fourierseq.icmb.utexas.edu)
    • Dell PowerEdge R720
    • dual  8-core/16-thread CPUs
    • 192 GB RAM
gsafstor01.ccbb.utexas.edu

GSAF customer groups:
Atkinson, Barrick, Bray, Brock, Browning, Cannatella, Crews, Ellington, GSAFGuest, Kirisits, Leibold, LiuHw, Lloyd, Matz, Mueller, Ochman, Press, SSung, Sullivan

GSAF internal & instructional groups:
GSAF, 
BioComputing2017, CCBB_Workshops_1,   FRI-BigDataBio, FRI-BigDataBio-2016, FRI-DrugScreen

Iyer/Kim PODShared POD for members of the Vishy Iyer and Jonghwan Kim labs
  • Anna Battenhouse (Iyer lab)
  • Bum Kyu Lee (Kim lab)
  • iyercomp02.ccbb.utexas.edu (aka dragonfly.icmb.utexas.edu)
    • Dell PowerEdge R420
    • dual 4-core CPUs
    • 96 GB RAM
  • iyercomp03.ccbb.utexas.edu (aka adler3.icmb.utexas.edu)
    • Dell PowerEdge R900
    • quad 4-core CPUs
    • 128 GB RAM
  • iyercomp04.ccbb.utexas.edu (aka katydid.icmb.utexas.edu)
    • Dell PowerEdge R410
    • dual 4-core/8-thread CPUs
    • 64 GB RAM
iyerstor01.ccbb.utexas.eduIyer, JKim
Marcotte PODSingle-lab POD for members of the Edward Marcotte lab
  • Kevin Drew
  • marccomp01.ccbb.utexas.edu (aka hopper.icmb.utexas.edu)
    • Dell PowerEdge R730
    • dual 18-core/36-thread CPUs
    • 768 GB RAM
  • marccomp02.ccbb.utexas.edu (aka ada.icmb.utexas.edu)
    • Dell PowerEdge R610
    • dual 4-core/8-thread CPUs
    • 32 GB RAM
  • marccomp03.ccbb.utexas.edu (aka perutz.ccbb.utexas.edu)
    • Dell PowerEdge R610
    • dual 4-core/8-thread CPUs
    • 24 GB RAM
marcstor02.ccbb.utexas.eduMarcotte
Wilke PODFor use by members of the Claus Wilke lab and the AG3C collaboration
  • Ashley Teufel
  • wilkcomp01.ccbb.utexas.edu
  • wilkcomp02.ccbb.utexas.edu
    • Dell PowerEdge R930
    • quad 14-core/28-thread CPUs
    • 1 TB RAM

wilkstor01.ccbb.utexas.eduWilke, AG3C
Chen/Wallingford PODShared POD for members of the Jeffrey Chen and John Wallingford labs
  • Qingxin Song (Chen lab)
  • Robert Huebner (Wallingford lab)
  • chencomp01.ccbb.utexas.edu
    • Dell PowerEdge R230
    • single 4-core/8-thread CPU
    • 16 GB RAM
  • chencomp02.ccbb.utexas.edu
    • Dell PowerEdge R410
    • dual 4-core/8-thread CPUs
    • 64 GB RAM
chenstor01.ccbb.utexas.eduChen, Wallingford
Georgiou/WCAAR PODShared POD for members of the Georgiou lab and the Waggoner Center for Alcoholism & Addiction Research (WCAAR)
  • Russ Durrett (Georgiou lab)
  • Dayne Mayfield (WCAAR)
  • wcarcomp01.ccbb.utexas.edu
    • Dell PowerEdge R430
    • dual 16-core/32-thread CPUs
    • 256 GB RAM
  • georcomp02.ccbb.utexas.edu
    • Dell PowerEdge R410
    • dual 4-core/8-thread CPUs
    • 64 GB RAM


georstor01.ccbb.utexas.eduGeorgiou, WCAAR
Dickinson/Cambronne PODShared POD for members of the Dan Dickinson and Lulu Cambronne labs 
  • djdicomp01.ccbb.utexas.edu
    • Dell PowerEdge R410
    • dual 4-core/8-thread CPUs
    • 64 GB RAM
djdistor01.ccbb.utexas.eduDickinson, Cambronne
Ochman/Moran PODComing soon: Shared POD for members of the Howard Ochman and Nancy Moran labs 
  • ochmcomp01.ccbb.utexas.edu
    • Dell PowerEdge R430
    • dual 18-core/36-thread CPUs
    • 384 GB RAM
ochmstor01.ccbb.utexas.eduOchman, Moran

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POD delegates

POD delegates are RCTF members who act as local liaison to the RCTF BRCF for member organizations. Their responsibilities include:

  • Communicate and help enforce RCTF BRCF policies among their colleagues
  • Approve requests for user accounts
  • Recommend user and group quotas
  • Implement and monitor sub-directory organization in shared Work and Scratch areas
  • Evaluate requests for additional software installations and communicate such to RCTFBRCF
    • may also perform test installations to evaluate new software functionality
  • May have administrative rights on compute servers to assist their POD users with common issues (e.g. permissions)

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Compute servers can be accessed via ssh using either their formal RCTF BRCF name or their alias, from any Internet address. For Mac and Linux users, ssh is available from any Terminal window. For Windows users, any SSH client program can be used, such as PuTTY (http://www.putty.org/).

POD storage server file transfer access

RCTF BRCF storage servers do not offer interactive shell (ssh) access. However, they provide direct file transfer capability via scp or rsync. Using the storage server as a file transfer target is useful when you have many files and/or large files, as it provides direct access to the shared storage.

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Before running mutiple jobs, you should check RAM usage (free -g will show usage in GB) and see what is already running with a command like this: 


Code Block
languagebash
ps -ef | grep -v root | grep -v bash | grep -v sshd | grep -v screen | grep -v tmux | grep -v 'www-data'
 


Finally, be sure to lower the priority of your processes using renice as described below (e.g. renice -n 15 -u `whoami`).

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