CMS-T2 Resources#

Computing#

The High Energy Physics group at the University of Wisconsin strives to maintain an information technology infrastructure that is trouble-free, secure, highly available and well understood. The table below provides a summary of the expected available computing (and storage) resources. In practice, due to disk failures and lack of back up disks the total storage can be less than or equal to the number shown.#

Gen Cores CPU Class (year puchased) Slots* HS06/slot** Total HS06 Storage (TB)
g26 32 2.2GHz Xeon E5-2660 (2013 Winter) 384 9.64 3702 480
g27 40 2.2GHz Xeon E5-2660V2 (2013 Fall) 1200 9.64 11568 320
g28 40 2.3GHz Xeon E5-2660V2 (2014 Fall) 1360 9.64 13110 346
g29 40 2.3GHz Xeon E5-2650V3 (2015 Fall) 1160 10.88 12615 316
g30 40 2.3GHz Xeon E5-2650V3 (2016 Mar) 1200 10.88 13050 477
g31 48 2.2GHz Xeon E5-2650V4 (2016 Fall ) 3264 10.21 33320 1067
g32 48 2.2GHz Xeon E5-2650V4 (2017 Fall ) 960 10.21 9800 1194
g33 48 2.2GHz Xeon E5-2650V4 (2018 Fall ) 816 10.21 8330 1738
g34 48 2.8GHz AMD EPYC 7402P (2019 Fall ) 672 14.06 9450 1818
g35 64 2.3GHz Xeon Gold 5218 (2019 Fall ) 64 11.59 742 0
g36 64 3.0GHz AMD EPYC 7302 (2020 Fall ) 1344 15.5 20832 2600
Total - 12424 10.99 (Wtd) 136519 TBS

*: Slot counts are working batch slots as of Mar 30, 2021.#

**: HS06 benchmark was run with all services disabled other than sshd, afsd, and xinetd. The following software was used:#

GCC: gcc (GCC) 4.1.2 20080704 (Red Hat 4.1.2-52)
C++: g++ (GCC) 4.1.2 20080704 (Red Hat 4.1.2-52)
FC:  GNU Fortran (GCC) 4.1.2 20080704 (Red Hat 4.1.2-52)
SPEC2006 version: 1.2

We use Condor batch computing software to implement a high throughput Linux computing environment. Opportunistic computing resources from the Grid Laboratory of Wisconsin (GLOW) and Center for Highthroughput Computing (CHTC) provide the potential for the utilization of a total of over around 10,000 Linux CPUs.#

Network#

See UW HEP Network activities : [CampusNet].#

Storage#

The storage system is based on HDFS with an SRM and xrootd interface. A total storage space of more than 4PB is distributed across many dedicated and dual-use commodity servers in the cluster. To avoid data loss when hard disks fail, two copies of each HDFS block is maintained, so the amount of data that can be stored is half the total disk space.#