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The WFU DEAC Cluster provides the critical infrastructure necessary
for researchers to reliably upload research codes, perform large
scale computations, store their actively utilized results, and
have confidence in the persistence of their data in the event of
storage failures. A comprehensive list of these services can be
found on the Services page.
64-bit Hardware 29 IBM HS22 Blade systems: each containing two processors, two embedded gigabit ethernet adapters, and a 73GB 10K SAS disk. The HS22 blade is based on the Intel "Nehalem" processor line providing a significantly improved bandwidth in a non-uniform memory architecture (NUMA). The specific combinations of processor core number and memory configurations are:14 "Quad Core, Infiniband" nodes:73 IBM HS21XM Blade systems: each containing two processors, two embedded gigabit ethernet adapters, and a 73GB 10K SAS disk. The specific combinations of processor core number and memory configurations are:Xeon E5530 at 2.40GHz, 8MB Cache, 1066MHz, 48GB RAM15 "Quad Core, Ethernet" nodes:Xeon E5530 at 2.40GHz, 8MB Cache, 1066MHz, 48GB RAM24 "Quad core, Infiniband" nodes:37 IBM HS21 Blade systems: each containing two processors, two embedded gigabit ethernet adapters, and a 73GB 10K SAS disk. The specific combinations of processor core number and memory configurations are:Xeon E5430 at 2.66Ghz, 16GB RAM49 "Quad core, Ethernet" nodes:Xeon E5345 at 2.33Ghz, 16GB RAM (28 nodes) Storage 60 TB for Research Data: The WFU DEAC cluster utilizes multiple storage devices attached to a SAN (Storage Area Network) through which several disk server infrastructure nodes export the space. The specific storage devices, configurations, and primary functions are:IBM DS4200 Storage Device: Primary function is the principal data store for home directories and actively used research data on the cluster.13TB via 32 SATA drives, 500GB capacity, 7200 RPMIBM DS3400 Storage Device: Provides storage for the infrastructure systems and services as well as supports large data stores needed for research data. Network Parallel Programs and Inter-processor communicationA number of parallel computation problems require a great deal of coordination traffic between the processors/nodes in order to assure accurate calculations that are consistent. While bandwidth can be a big component of this inter-processor communication (IPC), typically the messages passed are quite small thereby making the latency caused by creating and transmitting the data a critical performance factor.Cisco Core Ethernet Environment |
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