Cheaha

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'''Cheaha''' is a shared high-performance computing (HPC) resource sponsored by [http://www.uab.edu/it UAB Information Technology (UAB IT)]. Cheaha is available to members of the UAB community to support research activities in need of enhanced computational ability.
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'''Cheaha''' is a shared high-performance computing (HPC) resource sponsored by [http://www.uab.edu/it UAB Information Technology (UAB IT)]. Cheaha is available to members of the UAB community to support research activities in need of enhanced computational capacity.
  
 
Cheaha includes a dedicated pool of local compute resources and can provide seamless access to remote compute resources through the use of grid computing technologies.  The local compute pool contains two resource banks based on the [http://en.wikipedia.org/wiki/X86_64 x86_64 64-bit architecture]. 192 3.0Ghz cores and 120 1.6Ghz cores combine to provide nearly 3TFlops of dedicated computing power.   
 
Cheaha includes a dedicated pool of local compute resources and can provide seamless access to remote compute resources through the use of grid computing technologies.  The local compute pool contains two resource banks based on the [http://en.wikipedia.org/wiki/X86_64 x86_64 64-bit architecture]. 192 3.0Ghz cores and 120 1.6Ghz cores combine to provide nearly 3TFlops of dedicated computing power.   

Revision as of 13:44, 13 January 2009

Cheaha is a shared high-performance computing (HPC) resource sponsored by UAB Information Technology (UAB IT). Cheaha is available to members of the UAB community to support research activities in need of enhanced computational capacity.

Cheaha includes a dedicated pool of local compute resources and can provide seamless access to remote compute resources through the use of grid computing technologies. The local compute pool contains two resource banks based on the x86_64 64-bit architecture. 192 3.0Ghz cores and 120 1.6Ghz cores combine to provide nearly 3TFlops of dedicated computing power.

Use of the local compute pool is controlled via scheduling policies designed to maximize availability of total capacity and ensure guaranteed access to reserved resources. Use of the remote compute pool is contingent upon allocations for individual users on specific remote resources. Incorporation of remote resources enables simplified account management for HPC users and can significantly increase the total compute capacity available for HPC jobs.

Cheaha is located in the UAB Shared Computing facility in BEC. Resource design and development is lead by UAB IT Infrastructure Services in open collaboration with community members. Development effort is coordinated though a dedicated project web site. Operational support is provided by the UAB School of Engineering's cluster support group.

Cheaha is named in honor of Cheaha Mountain, the highest peak in the state of Alabama. Cheaha's summit offers panoramic vistas of the surrounding landscape (Cheaha photo-stream on Flikr).

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Meta-Scheduling Framework

Cheaha Meta-Scheduling Framework

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