Tufts Technology Services(TTS) Research computing options
High-performance computing research cluster
See overview for additional information about TTS Technology Services.
Cluster computing is the result of connecting many local computers (nodes) together via a high speed connection to provide a single shared resource. Its distributed processing system allows complex computations to run in parallel as the tasks are shared among the individual processors and memory. Applications that are capable of utilizing cluster systems break down the large computational tasks into smaller components that can run in serial or parallel across the cluster systems, enabling a dramatic improvement in the time required to process large problems and complex tasks.
Faculty, Research Staff and students use this resource in support of a variety of research projects. See how.
Grant Applications related information
Content to support applications can be found here.
Click Account Information for additional information about cluster accounts.
This content is for someone that has never used linux or time share mainframes or super computing centers.
Conditions and use of the research cluster include and are not limited to the following expectations. Additional related details may be found throughout this page.
no user root access
supported OS is RedHat 6 Enterprise version
no user ability to reboot node(s)
all cluster login access is via the login headnode
no user machine room access to cluster hardware
no alternative linux kernels other than the current REDHAT version
no access to 10Gig Ethernet network hardware or software
no user cron or at access
no user servers/demons such as: HTTP(apache), FTP. etc.
Cluster quality of service is managed through slurm
all user jobs destined for compute nodes are submitted via slurm commands
all compute nodes follow a naming convention
only Tufts Technology Services NFS approved research storage is supported
idle nodes are scheduled by slurm
no user contributed direct connect storage such as usb memory, or external disks
only limited outgoing Internet access from the headnode will be allowed; exceptions must be reviewed
allow approximate 2-week turn around for software requests
whenever possible, commercial software limit to the two most recent versions
Only user home directories and optional research NFS mounted storage is backed up
temporary public storage file systems have no quota and are subject to automated file deletions
Cluster does not export file systems to user desktops
Cluster does not support Virtual Machine instances
Please send your request via email to email@example.com and address the following questions:
Note: A software request normally may take up to 2 weeks. However depending on the installation complexity and number of packages requested it may take longer. When it appears that an assessment of the tasks suggest longer than 2 weeks we will contact you with an estimate so that prioritization can be made.
Click here for details.
If you have any questions about cluster related usage, applications, or assistance with software, please contact firstname.lastname@example.org.
A separate server is used to support these services in some cases. However some software may require installation on the linux research cluster. Check the Installed Software for Bioinformatic software available on the cluster. To make a special request for software installation, please follow the instructions as noted elsewhere on this page.
Emboss services can be found here
Tufts GIS Center and resources can be found here.
Many organizations and institutions are developing large spatial data repositories. Discovering and accessing these data sets pose many challenges. As a result, Tufts and Harvard are collaboratively developing an open source, federated web application to discover, preview, and retrieve geospatial data as part of global and national spatial data infrastructure. The Open Geoportal combines an intuitive, map-based search interface along with traditional text-based metadata search tools for rapid data discovery. Tufts instance of The Open Geoportal can be found here.
Tufts Research Cluster indirectly supports GIS spatial statistical computation with the availability of modern spatial statistics programs as found in R. This is a useful resource when faced with either complex estimation tasks, long runtimes or access to more memory than is often available on desktop workstations. R programs such as the following are available:
fields, ramps, spatial, geoR, geoRglm, RandomFields, sp, spatialCovariance, spatialkernel, spatstat, spBayes, splancs,
For additional information please contact email@example.com.