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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Python is a widely used high-level, general-purpose, interpreted programming language. It is often used as the "glue" within the High Performance Computing community. 

For more information about Spark and PySpark, you can visit the following resources:

https://www.python.org/

https://en.wikipedia.org/wiki/Python_(programming_language)

Getting Started with Python

You can access and start using Python with the following steps:

  1. Connect to the Tufts High Performance Compute Cluster. See Connecting for a detailed guide.

  2. Load the Python module with the following command:

    module load python

    Note that you can see a list of all available modules (potentially including different versions of Python) by typing:

    module avail

    You can specify a specific version of Python with the module load command or use the generic module name (python) to load the latest version.
      

  3. Start a Python session by typing:

    python
    print("Hello, World!")

For a more detailed overview of Python and how it relates to Big Data or High Performance Computing (HPC) please contact tts-research@tufts.edu for information regarding future workshops.

 

 

 

 

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For additional information, please contact Research Technology Services at tts-research@tufts.edu