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By late Dec. 2014 there is approximately 163 compute nodes. Total slurm managed cpu/core count is ~4000+ and a peak performance of roughly 60+ Teraflops. In this HPC environment, TTS also provides researchers with access to commercial engineering software, popular open-source research software applications and tools for bioinformatics and statistics. Secure networked storage for research data (400+ TB CIFS and NFS storage desktop on NetApp appliances and 511 TB GPFS cluster storage ) is available.
Each cluster node has 12, 16 or 20 cores using three different Intel CPUs. Compute node memory ranges from 24 to 384 gigabytes of memory.
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The Linux operating system on each node is configured identically across every machine. In addition there is a login node and a file transfer node supporting the compute nodes. Client/user workstations access the cluster via the Tufts Network using ssh based connection client software. Remote ssh access for researchers is also supported. The user login node has an additional network interface that connects to the compute nodes using private IP addressing via 10Gig network hardware. This scheme allows the compute nodes to be a "virtual" resource managed by slurm job queueing queuing software. This approach also allows the cluster to scale to a large number of nodes thus providing the structure for future growth. The login node of the cluster is reserved for the use of compilers, running shell tools, and launching and submitting programs to compute nodes. The login node is not intended for running research programs, or for general computing purposes, and all jobs are to be submitted to compute nodes using slurm.
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