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The analysis framework is documented in the Data Analysis page. This section describes the resources available for running the analysis.

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The psana pool is currently made of 16 servers from the high density rack the 5 servers with the following specifications:

  • 1612-cores, Sandy Bridge Xeon E5-2680, 32GB 2620 v3 2.4GHz, 128GB memory, diskless, 1Gb10Gb/s, no IB

LCLS provides a few Matlab licenses and one IDL license. Instructions on how to use these tools are in the Matlab and IDL pages.

Two of the psana interactive nodes (psanagpu101 and 102) have GPUs. The other three (psanaphi101, 102 and 103) have Xeon Phi coprocessors.

Batch Farms

There are a number of batch farms (i.e. collections of compute nodes) located in the NEH and FEH. Instructions describing how to submit jobs can be found on the Submitting Batch Job page. The batch farms currently consist of 80 nodes with the following general specifications:

  • 12 cores, Xeon X5675, 24GB memory, 500GB disk, QDR IB

and 36 nodes 40 nodes for the high priority queues for the running experiments with:

  • 16 cores, Xeon E5-2640 v3, 128GB memory, QDR IB

Remote Visualization

When performing analysis on the psana interactive nodes, is is useful to display plots on your host machine. For host machines near SLAC, using ssh with X-windows forwarding (the -X or -Y options) suffices. X  windows forwarding can get slow for host machines in Europe. Some users have found better performance with technology called nomachine, this is documented on the Remote Visualization page.