As part of Rebecca Batorsky's PhD research in the physics department, she studied various aspects of intra-host virus evolution. She used the cluster in order to run large simulations of evolving virus populations. Their simulations typically ran in Matlab, and they were able to run more than 30 simulations in parallel using multiple compute nodes. This enables faster collection of simulation data and allowed them to study large population sizes that would otherwise have been possible. Furthermore, the ability to access their files on the cluster and programs like Matlab and Mathematica from any computer was extremely useful.
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
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