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diff --git a/general/help/facilities.md b/general/help/facilities.md index eabb5c6..3014c14 100644 --- a/general/help/facilities.md +++ b/general/help/facilities.md @@ -1,7 +1,9 @@ # Equipment The core [GeneNetwork team](https://github.com/genenetwork/) and [Pangenome team](https://github.com/pangenome) at UTHSC maintains modern Linux servers and storage systems for genetic, genomic, pangenome, pangenetics and phenome analyses. -Machines are located in in the main UTHSC machine room of the Lamar Alexander Building at UTHSC (Memphis TN campus). +Machines are located in in the main UTHSC machine room of the Lamar Alexander Building at UTHSC (Memphis TN campus). This is a physically secure location with raised +floors and an advanced fire extinguishing system. + We have access to this space for upgrades and hardware maintenance. We use remote racadm and/or ipmi to all machines for out-of-band maintenance. Issues and work packages are tracked through our 'tissue' [tracker board](https://issues.genenetwork.org/) and we use git repositories for documentation, issue tracking and planning (mostly public and some private repos available on request). @@ -14,7 +16,7 @@ In 2023 we added two machines to upgrade from tux01 and tux02 -- named tux04 and ## Octopus HPC cluster -In 2020 we installed a small but powerful HPC cluster (Octopus) dedicated to [pangenomic](https://www.biorxiv.org/content/10.1101/2021.11.10.467921v1) and [genetic](https://genenetwork.org/) computations, consisting of 11 PowerEdge R6515 AMD EPYC 7402P 24-core CPUs (264 real cores). +In 2020 we installed a powerful HPC cluster (Octopus) dedicated to [pangenomic](https://www.biorxiv.org/content/10.1101/2021.11.10.467921v1) and [genetic](https://genenetwork.org/) computations, consisting of 11 PowerEdge R6515 AMD EPYC 7402P 24-core CPUs (264 real cores). Nine of these machines are equipped with 378 GB RAM and two have 1 TB of memory. All machines have large SSD storage (~10TB) driving 100+ TB shared network storage. All Octopus nodes run Debian and GNU Guix and use Slurm for batch submission. |