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Commentary in PNAS, 2010
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Rethinking "Pseudo": Science Signaling, 2010
First Computational Oncology Workshop
Social Media: Biophysical Society's BLOG/Tweet, 2011
Social Media: Integrative Biology's BLOG , 2011

Social Media: Integrative Biology's Tweet, 2011

Penn Engineering Magazine, Fall 2011
NSF Highlight 2012
5th Insilico Oncology Meeting
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COMPUTING

Molecular Systems Biology Laboratory (PI: Ravi Radhakrishnan, PhD)
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COMPBIO LINUX CLUSTER

The COMPBIO cluster is for exclusive use for our group members to run large scale simulations of biomolecules. The fully scalable (across 64 processors) parallel applications we run include Molecular Dynamics using NAMD, Born-Oppenheimer QM /MM dynamics, Car-Parrinello molecular dynamics. In addition, we run the CHARMM and the Genesis programs on 8 processors. We run multiple conformation docking on a condor grid.

  • Architects: The Liniac Group.
  • 64 Processor Xeon Cluster with Nocona Chips (32 Dual Intel Xeons with Intel EM 64 Technology)
  • 3.2GHz/1MB Cache,Xeon 800MHz FSB, PowerEdge 1850 (31 Compute Nodes) 4GB DDR and 256GB scratch disk space per node
  • 3.2GHz/1MB Cache,Xeon 800MHz FSBus, PowerEdge 1850 (alpha login node)
  • 3.2GHz/1MB Cache, Xeon, 800MHz FSB, PowerEdge 2850 (IO and Backup Servers)
  • 1 Terrabyte of backed-up disk space connected to CETS managed Tape Robot
  • PowerEdge 750, 3.2GHz, 512K Cache, P4, 800FSB (Management Node)
  • Rack and Power equipment plus Extreme Networks Switch
  • PowerConnect 3348, 48 Port FE Stackable Managed Switch,2 GbECombo Ports
  • PowerVault 220S,3U,14 HDD, SCSI Storage Enclosure
  • Dell | EMC AX100 Array Dual Processor Enclosure
  • Red Hat Linux, Open PBS queuing system
  • Intel Fortran, C compilers, MPICH communication protocol

Additional Super-Computing Platforms AVAILABLE THROUGH TERAGRID

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Page last modified on June 11, 2009, at 10:15 PM