BMI maintains a Linux-based computational cluster that is accessible from outside the Cincinnati Children's network. The cluster currently has over 350 processing cores and is heterogeneous with both large-memory SMPs as well as low-cost processing nodes.

Sample uses

This cluster can be used for interactive and batch processing of computationally intensive tasks. In particular, in can be used to perform

• protein-protein and protein-ligand docking using AutoDock, NAMD and other protocols
• protein secondary structure prediction, membrane domain prediction and other protein structure prediction and visualization problems using SABLE, MINNOU and other servers
  
• microarray analysis using tools such as GeneSpring, RMAExpress or BioConductor (R)
  
• genome-wide association studies using plink or the Wake Forest analysis suite
• other memory-intensive or processor-intensive statistical analyses using R
• many other applications

Current configuration

All nodes run 64-bit SuSE Linux.

Cluster batch system is currently managed by Torque resource manager and Moab scheduler. Please read the job scheduling policies page for recent policy changes.

For individual software environment in the cluster, we use Modules. Please refer to modules page for more information and examples.

Usage statistics

You can obtain snapshot and historical information about the load on the cluster. PBSstats can be used to query the queue statistics.

Help and support