Chimera is a high-performance computing (HPC) cluster provided by UMass Boston Research Computing. It supports advanced workloads such as data analysis, machine learning, simulations, and other compute-intensive research tasks.

Chimera is designed for distributed computing and includes a mix of compute resources, including GPU-enabled nodes for accelerated workloads.

GPU hardware used for high-performance computing, AI, and accelerated research workloads on Chimera
GPU acceleration supports modern workloads including AI, simulation, and parallel computing.
  • Chimera HPC Cluster
    Main UMass Boston Chimera cluster page for access, usage details, and platform information.
  • Unity HPC Cluster
    Regional high-performance computing environment available for broader research workloads.
  • High Performance Computing
    UMass Boston overview page for campus HPC infrastructure and support resources.
  • Research Computing
    Central research computing hub for services, documentation, and related computing support.

Who Should Use Chimera?

Chimera is intended for:

  • Faculty conducting research
  • Graduate students working on theses or research projects
  • Undergraduate students involved in research or advanced coursework
  • Projects that require more computing power than a typical laptop or lab machine

What Can You Use It For?

Common use cases include:

  • Machine learning and AI training
  • Data science and large dataset processing
  • Scientific simulations
  • Parallel computing jobs
  • GPU-accelerated workloads

Why Use Chimera?

Using a shared HPC system like Chimera allows you to:

  • Run large-scale experiments efficiently
  • Access specialized hardware (e.g., GPUs)
  • Collaborate on research projects
  • Work with datasets that exceed local machine limits

Need Help?

If you’re unsure whether Chimera is right for your project or need help getting started:

  • Contact your instructor or research advisor
  • Reach out to UMass Boston Research Computing