The Tufts High Performance Compute (HPC) cluster delivers 35,845,920 cpu hours and 59,427,840 gpu hours of free compute time per year to the user community.
Teraflops: 60+ (60+ trillion floating point operations per second) cpu: 4000 cores gpu: 6784 cores Interconnect: 40GB low latency ethernet
For additional information, please contact Research Technology Services at tts-research@tufts.edu
High Performance Compute Cluster
- Shawn Doughty (Deactivated)
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.What is a Cluster?
Faculty, Research Staff and students use this resource in support of a variety of research projects.
Faculty, Research Staff and students use this resource in support of a variety of research projects.
Restrictions
Research Cluster Usage Expectations and Restrictions
For additional information, please contact Research Technology Services at tts-research@tufts.edu