Faculty, Research Staff and students use this resource in support of a variety of research projects. See how.
Tufts Linux Research Cluster
Tufts Technology Services TTS provides a wide array of services in support of Tufts research community. High Performance Computing(HPC) hardware from Cisco and IBM is used to create the cluster. The hardware complement includes Cisco blades, IBM M3 and M4 iDataplexes, nVidia GPUs and a 10Gb/s interconnect Cisco network.
|m4 nodes: Intel(R) Xeon(R) CPU E5-2670 0 @ 2.60GHz|
Cicso nodes: Intel(R) Xeon(R) CPU E5-2660 v2 @ 2.20GHz
m3 nodes: Intel(R) Xeon(R) CPU X5675 @ 3.07GHz
By late Dec. 2014 there is approximately 163 compute nodes. Total slurm managed cpu/core count is ~3600 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 on NetApp appliances) 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.
GPU computing is supported by 12 nVidia GPU models:
|K20, M2070, M2050|
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 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.
A separate file transfer node, xfer.cluster.tufts.edu, is also provided to accommodate large data transfers.
Grant Applications related information
Content to support applications can be found here.