Educational Clusters

The Research Computing group provides a Redhat Linux based high performance computing environment in support of the educational cirriculum. There are two educational clusters: Mamba and DSBA Hadoop.

 

MAMBA

Mamba is dedicated to supporting the integration of HPC resources into the educational cirriculum.  It is a traditional batch scheduling environment based on PBS (Torque/Moab). It is a scaled down replica of our research cluster environment.

  • 12 nodes / 192 computing cores
  • 8 nodes with
    • dual Intel Xeon 3.2 GHz 8-core processors – E5-2667 v3 or v4
    • 128 GBs RAM (8 GBs / core)
    • EDR infiniband interconnect
  • 4 nodes with
    • dual Intel Xeon 3.2 GHz 8-core processors – E5-2667 v3 or v4
    • 128 GBs RAM (8 GBs / core)
    • EDR infiniband interconnect
    • Nvidia Tesla K80 GPU Accelerator
  • 73 TBs dedicated, usable RAID storage (192 TBs raw)
  • Mamba User Notes

 

DSBA HADOOP

The DSBA Hadoop cluster is dedicated to supporting the educational needs within the Data Science and Business Analytics (DSBA) academic program. We use Cloudera’s Distribution of Hadoop (CDH) to provide the following Hadoop services: HBase, Hive, Hue, Impala, Kudu, Oozie, Spark and Spark2, Sqoop 2, and YARN (w/ MapReduce2).

  • 10 nodes: 4 master nodes + 6 data/worker nodes
  • 6 (data/worker) nodes with
    • Duel Intel Xeon 2.60GHz 6-core processors – E5-2630 v2
    • 64GB RAM (5.3 GBs / core)
    • 136.8TB HDFS (22.8TB / data node)
    • 10 Gbit Ethernet
  • 3 (master) nodes with
    • Dual Intel Xeon 2.10GHz 6-core processors – E5-2620 v2
    • 64GB RAM (5.3 GBs / core)
    • 10Gbit Ethernet
  • 1 (master) node with (for Cloudera Manager)
    • Dual Intel Xeon 2.27GHz 4-core processors – E5520
    • 48GB RAM (6 GBs / core)