Dali
The Dali system is designed for direct-access, interactive, large scale data analysis. This system provides a convenient location from which users can access all the file systems within the NCCS environment, including the Discover GPFS file systems and the Dirac archive. Users can then employ a variety of data analysis tools, including GrADS, IDL, Matlab, Mathematica, python, and more to interactively analyze large data.
Dali derives its name from Salvador Dali who had a unique way of portraying objects and often used both the ocean and sky within his art.
Dali System Details
System Architecture
Dali is currently made up of a eight interactive nodes with large memory and very fast access to the Discover file systems. Each node has the following configuration:
- IBM x3950 Nodes
- 4 quad-core 2.0 GHz Intel Xeon Dunnington Processors
- 256 GB of RAM
- 10 GbE network connectivity
- Fibre channel access to the IBM GPFS file systems (~1 GB/sec for large single stream file access)
- NFS access to Dirac (archive) and data portal file systems
Operating Environment
- Operating System: SLES
- Job Scheduler: PBS; users can submit jobs to the Discover cluster but PBS jobs will not run on the analysis nodes
- Compilers: C, C++, Fortran (Intel and PGI)
- Analysis applications include GrADS, IDL, Matlab, Mathematica, phython, and more