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    • Compute Cluster and Data Storage
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Compute Cluster

Compute Cluster

  • Technical Benefits and Features
  • Quick Start
  • Requesting an Account
  • Logging In
  • Copying & Extracting Files
  • Running Jobs
  • Software Tools

Technical Benefits and Features

Technical Benefits and Features

  • Compute Cluster
    • Technical Benefits and Features
    • Quick Start
    • Requesting an Account
    • Logging In
    • Copying & Extracting Files
    • Running Jobs
    • Software Tools
  • Data Storage
  • Database Server
  • Other Research Computing Environments
4ms
Welcome to the HBSGrid! The HBS compute cluster offers more memory, speed, and processing power through a single entry point. Examples of use cases that will enable or accelerate research includes:­

  • Running software interactively that requires computing power (RAM or CPUs) equal to or more than one's desktop or laptop.
  • Running an analysis that may take a few hours, with the ability of freeing up one's desktop or laptop for other work.
  • Analyzing or transforming large datasets sitting on the research storage spaces with computing resources local to that data.
  • Working with data in the research MariaDB database.
  • Storing, analyzing, and visualizing Level 3 or Level 4 sensitive data.
  • Running a piece of code hundreds of times for a parameter sweep, optimization, or model fitting.
  • You wish to work on research project with collaborators outside of HBS.

Additionally, technical benefits and features of the platform include:

  • The ability to optimize resources through load sharing, scheduling, and queuing of jobs across multiple servers
  • Access to a browser-based interface for submitting jobs in addition to the usual connection through SSH
  • Multiple servers that provide redundancy to avoid a single point of failure
  • Up to 10x speedup for certain math, algebraic, and statistical functions & algorithms.
  • No restriction on RAM (other than physical machine constraints), and users allowed up to 24 cores at one time, spread across a max of 3 sessions
  • No restriction on RAM (other than physical machine constraints) or number of jobs4 , with max of 16 cores for “short” batch jobs, 8 cores for “long” batch jobs, and 8 cores for “infinite” batch jobs3

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Research Computing Services (RCS) 
Harvard Business School
Baker Library, B90, 25 Harvard Way
Boston, MA 02163
Phone: 617.495.6100
Email: research@hbs.edu
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