The Cyberinfrastructure supporting UAB investigators includes high performance computing clusters, high-speed storage systems, campus, state-wide and regionally connected high-bandwidth networks, and conditioned space for hosting and operating HPC systems, research applications and network equipment. A description of the facilities available to UAB researchers are described below. If you would like an account on the HPC system, please submit a request and provide a short statement on your intended use of the resources and your affiliation with the university.
UAB High Performance Computing (HPC) Clusters
The compute resources are organized into a unified Research Computing System. The compute fabric for this system is anchored by the Cheaha cluster, a commodity cluster with several generations of hardware with a total of 816 cores connected by low-latency Fourteen Data Rate (FDR) and Quad Data Rate (QDR) InfiniBand networks.
The different hardware generations are summarized in the following table and include:
- Gen5: 96 2x12 core (2304 cores total) 2.5 GHz Intel Xeon E5-2680 v3 compute nodes with FDR InfiniBand interconnect. Out of the 96 compute nodes, 36 nodes have 128 GB RAM, 38 nodes have 256 GB RAM, and 14 nodes have 384 GB RAM. Also there are four compute nodes with the Intel Xeon Phi 7210 accelerator cards and four compute nodes with the NVIDIA K80 GPUs.
- Gen4: 3 2x8 core (48 cores total) 2.70 GHz Intel Xeon compute nodes with 384GB RAM per node (24GB per core), QDR InfiniBand interconnect. (Sponsored by School of Public Health Section on Statistical Genetics)
- Gen3: 48 2x6 core (576 cores total) 2.66 GHz Intel Xeon compute nodes with 48GB RAM per node (4GB per core), QDR InfiniBand interconnect. (Supported by NIH grant S10RR026723-01)
- Gen2: 24 2x4 (192 cores total) Intel 3.0 GHz Intel Xeon compute nodes with 16GB RAM per node (2GB per core), DDR InfiniBand interconnect. (Sponsored by UAB IT) [set to be decommissioned by December 2016]
Gen1: 60 2-core (120 cores total) AMD 1.6GHz Opteron 64-bit compute nodes with 2GB RAM per node (1GB per core), and Gigabit Ethernet connectivity between the nodes. Gen1 decomissioned June 2013.
|Generation||Type||Nodes||CPUs per Node||Cores Per CPU||Total Cores||Clock Speed (GHz)||Instructions Per Cycle||Hardware Reference|
|Gen 2||Intel Xeon E5450||24||2||4||192||3.00||4||Intel Xeon E5450|
|Gen 3||Intel Xeon X5650||48||2||6||576||2.66||4||Intel Xeon E6550|
|Gen 4||Intel Xeon E5-2680||3||2||8||48||2.70||8||Intel Xeon E2680|
|Gen 5||Intel Xeon E5-2650||12||2||8||192||2.00||8||Intel Xeon E2650 (Nodes dedicated to OpenStack+Ceph with 10Gbs network)|
|Gen 6†||Intel Xeon E5-2680 v3||96||2||12||2304||2.50||16||Intel Xeon E5-2680 v3|
|Gen 7††||Intel Xeon E5-2680 v4||18||2||14||504||2.40||16||Intel Xeon E5-2680 v4|
|Generation||Theoretical Peak Tera-FLOPS|
† Includes four Intel Xeon Phi 7210 accelerators and four NVIDIA K80 GPUs.
†† Includes 72 NVIDIA Tesla P100 16GB GPUs.
Regional and National Resources
Alabama Supercomputing Center (ASC)
Alabama Supercomputer Center (ASC) (http://www.asc.edu) is a State-wide resource located in Hunstville, Alabama. The ASC provides UAB investigators with access to a variety of high performance computing resources. These resources include:
- An SGI Altix Cluster has 162 CPU cores, 1340 GB of shared memory, and 19 terabytes in the Panasas file system. Each CPU is a 64 bit Intel Itanium 2 processor. The system consists of a SGI Altix 350 front end node with 1.4 GHz processors and Altix 450 nodes with dual core 1.6 GHz and 9.67 GHz processors. This gives the entire system a floating point performance of 1035 GigaFLOPS. Sets of from 6 to 72 CPUs are grouped together into shared memory nodes. There are multiple networks connecting the processors. These include: NUMAlink for sharing memory, Infiniband for file system access, gigabit ethernet for internet connectivity, and a secondary ethernet connection as a redundant fail over and management network.
- A Dense Memory Cluster (DMC) HPC system has 1800 CPU cores and 10 terabytes of distributed memory. Each compute node has a local disk (up to 1.9 terabytes of which are accessible as /tmp). Also attached to the DMC is a high performance Panasas file server, which has 17 terabytes of high performance storage accessible as /scratch from each node. Home directories as well as third party applications use a separate Panasas Filesystem and share 47 terabytes of storage. The machine is physically configured as a set of 8 or 16 CPU core SMP boards. Forty nodes have 2.3 GHz quad-core AMD Opterons and 64 gigabytes of memory. Ninety-six nodes have 2.26 GHz Intel quad-core Nehalem processors. Forty nodes have 2.3 GHz AMD 8-core Opteron processors and 128 gigabytes of memory. The DMC has sixteen GPU (Graphic Processing Unit) chips. These are a combination of: two Tesla S1070 units (external GPUs connected in pairs to four DMC nodes); four DMC nodes configured with a pair of Tesla M2070 cards each. These multicore GPU chips are similar to those in video cards, but are installed as math coprocessors.
- A large number of software packages are installed supporting a variety of analyses including programs for Computational Structural Analysis, Design Analysis, Quantum Chemistry, Molecular Mechanics/Dynamics, Crystallography, Fluid Dynamics, Statistics, Visualization, and Bioinformatics.
Open Science Grid
UAB is a member of the SURAgrid Virtual Organization (SGVO)_ on the Open Science Grid (OSG) (http://opensciencegrid.org) This is a national compute network consists of nearly 80,000 compute cores aggregated across national facilities and contributing member sites. The OSG provides operational support for the interconnection middleware and facilities research and operational engagement between members.
UAB 10GigE Research Network The UAB Research Network is currently a dedicated 10GE optical connection between the UAB Shared HPC Facility and the RUST Campus Data Center to create a multi-site facility housing the Research Computing System, which leverage the network for connecting storage and compute hosting resources. The network supports direct connection to high-bandwidth regional networks and the capability to connect data intensive research facilities directly with the high performance computing services of the Research Computing System. This network can support very high speed secure connectivity between nodes connected to it for high speed file transfer of very large data sets without the concerns of interfering with other traffic on the campus backbone ensures predictable latencies.
Campus High Speed Network Connectivity The campus network backbone is based on a 10 gigabit redundant Ethernet network with 480 gigabit/second backplanes on the core L2/L3 Switch/Routers. For efficient management, a collapsed backbone design is used. Each campus building is connected using gigabit Ethernet links over single mode optical fiber. Within multi-floor buildings, a gigabit Ethernet building backbone over multimode optical fiber is used and Category 5 or better, unshielded twisted pair wiring connects desktops to the network. Computer server clusters are connected to the building entrance using Gigabit Ethernet. Desktops are connected at 100 megabits/second speed (gigabit available when needed). The campus wireless network blankets classrooms, common areas and most academic office buildings.
Off-campus Network Connections UAB connects to the Internet2 and National LambdaRail (NLR) high-speed research networks via the University of Alabama System Regional Optical Network (UASRON), a University of Alabama System owned and operated DWDM Network offering 10G Ethernet to the Southern Light Rail (SLR)/Southern Crossroads (SoX) in Atlanta, Ga. The UASRON also connects UAB to UA, and UAH, the other two University of Alabama System institutions, and the Alabama Supercomputer Center utilizing Gigabit Ethernet speeds. UAB is also connected to other universities and schools through AREN (Alabama Research and Education Network). Connection to the commodity Internet is via Gigabit Ethernet, of which UAB currently uses approximately 1.2 Giga-bits-per-second (Gbps).