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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The Jupyter Notebook is an open source web application for interactive data science and scientific computing across over 40 programming languages. It allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.

 

Users can install their own individual version of Jupyter using the following steps.

  1. Install your own version of python
  2. Install jupyter
  3. Start up jupyter
  4. Access jupyter
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For additional information, please contact Research Technology Services at tts-research@tufts.edu