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Homewood High-Performance Cluster (HHPC)

The Deans and faculties of KSAS and WSE have partnered to create a Homewood High Performance Cluster (HHPC). The HHPC integrates the resources of many PIs to create a powerful and adaptive shared facility designed to support large scale computations on the Homewood Campus.

The HHPC is managed under the aegis of IDIES and operates as a Co-Op. Compute and database hardware is provided by users, who then get a proportional share of the pooled resources. The networking infrastructure and a systems administrator, Jason Williams, are provided by the Deans of the Whiting School of Engineering and the Krieger School of Arts and Sciences.

The HHPC came online in December 2008. It currently contains compute nodes with 1200 Intel cores and 2 terabytes of RAM. These are connected through infiniband to database servers with over a Petabyte of storage, including the GrayWulf. An additional 50 nodes with 100 NVIDIA graphics processor units will be connected to the network as part of a project with the IGERT on Modeling Complex Systems.

Researchers on the Homewood campus are encouraged to consider contributing hardware to the HHPC. The cluster cannot be expanded in the short term, but we expect to relocate to new space in spring of 2010 and extend the cluster substantially at that time. Contact Mark Robbins (mr -at- pha.jhu.edu) or Jason Williams (jasonw -at- jhu.edu) if you are interested in learning more.

Under the management plan for the HHPC, 10 percent of the compute time can be allocated by the Deans to faculty on the Homewood campus. The priorities for use of this time are to meet temporary surges in compute needs for research projects at Homewood, to provide access to new hires and new contributors before nodes they have ordered arrive, and to allow potential members of the HHPC to "kick the tires". For more information, and to apply for time on the HHPC, see the HHPC application (opens in a new tab or window).

For more detailed information about the cluster, see the HHPC wiki.