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
Jeffery S. Jackson
- Zachary.Munro
Jeffery S. Jackson is a grad student in Mechanical Engineering and is conducting research on microfluidic mixers. He uses the Cluster01 to create and run fluid flow models on COMSOL Multiphysics. The COMSOL program solves the Navier Stokes equations for transient fluid flow and the convection diffusion equation. For the models that he creates to be accurate, though, they require more elements and time steps than his computer, or the computers in the EPDC, can handle. This is where the cluster comes in very handy. He usually has the Cluster run any model that is more complicated than a 2D model with 30,000 elements. The most complicated model he has had the cluster solve consisted of 90,000 elements. This model took 30 hours for the Cluster to solve, which is something that no other computer resource he has access to could do. Another nice benefit of the Cluster is being able to use it from home. He lives in Providence, RI and it takes him two hours to get to Tufts by train. So, he only comes in when he has to. Having remote access to the Cluster makes this possible. Without the Cluster, or the very helpful people who provide excellent technical support, he would never have been able to do the research he needed to to finish his Master's Thesis.
For additional information, please contact Research Technology Services at tts-research@tufts.edu