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 # Facilities
 
 The core GeneNetwork team maintains modern Linux servers and storage
-systems for genomic and genetic analysis. These machines are
-maintained in the main UTHSC machine room in the Lamar Alexander
-Building in Memphis. The whole team has access to this space for
+systems for genetic, genomic, and phenome analyses. Machines are
+located in the main UTHSC machine room of the Lamar Alexander
+Building in at UTHSC (Memphis campus). The whole team has access to this space for
 upgrades and hardware maintenance. Issues and work packages are
 tracked through a Trello board and we use git repositories for
 documentation (all available on request).
 
 This computing facility has four computer racks dedicated to
-GeneNetwork related work. Each rack has a mix of Dell PowerEdge
-servers (from a few low-end R610s to high performance Dell R7425
+GeneNetwork-related work. Each rack has a mix of Dell PowerEdge
+servers (from a few low-end R610s, high performance Dell R6515, and two R7425
 64-core systems - tux01 and tux02 - running the GeneNetwork web
-services), tux03 with 40 cores, 196 GB RAM and 2x NVIDIA V100 GPU, and
-one Computing Relion 2600GT systems - Penguin2 - with NVIDIA Tesla K40
-GPU which is used for software development and serves outside facing
-less-secure R/shiny and Python web services running in isolated
-containers. Effectively we have three decent outward facing servers
-which are fully utilized for the GeneNetwork project and OPAR with a
-total of 64+64+40+28=196 real cores. Furthermore we have a dedicated
-HPC cluster, named Octopus, consisting of 11 PowerEdge R6515 AMD EPYC
-7402P 24-Core (total 264 cores; 528 hyperthreaded). These machines
-have 128 GB RAM each. The two head nodes are large RAM machines with
-1TB each. All these machines run Debian + GNU Guix and use Slurm for
-batch submission.  The racks have dedicated high speed Cisco switches
-and firewalls which are maintained by UTHSC IT staff.
+services). We also support several more experimental systems, including a 40-core system with 196 GB RAM and 2x NVIDIA V100 GPU (tux03), and one Penguin Computing Relion 2600GT systems (Penguin2) with a NVIDIA Tesla K40
+GPU used for software development and to serve outside-facing
+less secure R/shiny and Python  services that run in isolated
+containers. Effectively, we have three  outward facing servers
+that are fully used by  GeneNetwork teams with a
+total of 64+64+40+28 = 196 real cores. In late 2020 we set up a small
+HPC cluster (Octopus), consisting of 11 PowerEdge R6515 AMD EPYC
+7402P 24-core CPUs (264 cores). Most of these machines
+are equipped with 128 GB RAM, but two  nodes have 1 TB of memory. 
+All Octopus nodes run Debian and GNU Guix and use Slurm for
+batch submission. All racks have dedicated high-speed Cisco switches
+and firewalls that are maintained by UTHSC IT staff.
 
 We also run some 'specials' including an ARM-based NVIDIA Jetson and a
 RISC-V [PolarFire
@@ -34,18 +33,17 @@ have also ordered two RISC-V
 computers.
 
 In addition to above hardware we have batch submission access to the
-cluster computing resource at the Advanced Computing Facility operated
+cluster computing resource at the ISAAX computing facility operated
 by the UT Joint Institute for Computational Sciences in a secure setup
-at the DOE Oak Ridge National Laboratory. We have a 10 Gbit connection
-from the machine room at UTHSC to data transfer nodes at the ACF. The
-ACF has been upgraded in the past year (see [ACF system
+at the DOE Oak Ridge National Laboratory and on the UT Knoxville campus. We have a 10 Gbit connection
+from the machine room at UTHSC to data transfer nodes at ISAAC. 
+ISAAC has been upgraded in the past year (see [ISAAC system
 overview](http://www.nics.utk.edu/computing-resources/acf/acf-system-overview)
 and now has over 3 PB of high-performance Lustre DDN storage and
-contains over 8000 cores with some large RAM nodes and one GPU
-node. Drs. Prins and other team members have used ACF systems to
-analyze genomic and genetic data sets. In recent developments the ACF
-will be moved from ORNL to UT Knoxville in 2021.  We note that we can
-not use the ACF compute and storage facilities for public facing web
-services because of its stringent security requirements.  The ACF,
-however, may come in useful to precompute genomics and genetics
-analysis results using standardized pipelines.
+contains over 8000 cores with some large RAM nodes and several GPU
+nodes. Drs. Prins and other team members have used ISAAC systems to
+analyze genomic and genetic data sets. Note that we can
+not yet use ISAAC and storage facilities for public-facing web
+services because of stringent security requirements.  ISAAC
+however, will be highly useful for "precomputing" genomics and genetics
+ results using standardized pipelines.