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Instructional Cluster: ccls.minicluster.sfsu.edu

Instructional Cluster
Instructional Cluster
Instructional Cluster Nodes
A close-up of the compute nodes

The SFSU Center for Computing for Life Sciences (CCLS) Instructional Cluster provides an environment where Computer Science and Biology students can gain hands-on experience in designing and executing parallel computations and is a key component to our undergraduate and graduate educational program. The Instructional Cluster is made from donated hardware, a mix of dual Pentium II and Pentium III compute nodes, each with 512 MB RAM and 20 GB storage space. This greatly helps overcome the initial learning curve for using the CCLS Dell PowerEdge Cluster for research.

Availability and Access

The CCLS Instructional Cluster is available for graduate and undergraduate Computer Science students enrolled in any of the following courses:

  • Computer Organization (CSC656)
  • Computer Networks (CSC645/CSC745)
  • Distributed Systems (CSC835)
  • Systems Architecture (CSC846)
  • Bioinformatics (BIO877)

Instructors can get access for students by contacting Mike Wong via e-mail. The computing resource usage policy applies to the Instructional Cluster.

Design

The CCLS Instructional cluster was built using OSCAR external.

Node Hostname Processors Make and Model Speed Memory Motherboard
0 ccls.minicluster 2 Intell Pentium III 500 MHz 512 MB Intel L440GX+
1 instructional_node1 2 Intel Pentium II 500 MHz 512 MB Intel L440GX+
2 instructional_node2 2 Intel Pentium II 500 MHz 512 MB Intel L440GX+
3 instructional_node3 2 Intel Pentium II 500 MHz 512 MB Intel L440GX+
4 instructional_node4 2 Intel Pentium III 500 MHz 512 MB Intel L440GX+
5 instructional_node5 2 Intel Pentium III 550 MHz 512 MB Intel L440GX+
6 instructional_node6 2 Intel Pentium II 550 MHz 512 MB Intel L440GX+

Two additional nodes are equipped with the older Intel L440BX motherboards, which do not support PXE boot and are therefore not suitable for cluster installation via OSCAR.

Last revised: r5 - 25 Mar 2008 - 04:51:39 - Mike Wong
 
Center for Computing for Life Sciences
San Francisco State University
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