Research Computing (RC) provides a growing shared high performance computing environment known as the O2 Cluster, which accommodates diverse requirements and workflows for HMS-affiliated researchers. Tens of thousands of jobs run on O2 every day for big and small projects in next-gen sequencing analysis, molecular dynamics, mathematical modeling, image analysis, proteomics, and other areas. Research Computing is constantly working to improve O2’s job handling software and configuration to balance throughput between our many users.  


O2 Cluster: RC can help you choose and install appropriate research software, build workflows and scale them up to work efficiently in the O2 environment. 

Processing power: O2 includes over 10,000 cpu cores of computing power to scale up workflows 

Specialized hardware: Different hardware solutions are available including GPU and high-memory machines 

Storage: There are multiple tiers of high performance network storage for different needs 

Scientific Applications: Extensive research software tools are available in a Linux environment, including open source and some commercially licensed applications. 

Request an O2 account with the Account Request form

For more information, please view our O2 documentation 

User Training

Courses include an introduction to the HPC cluster, Perl, R/Bioconductor, RNAseq, and more. Training classes are open to all HMS affiliates. Further information about training sessions can be found on the Research Computing Trainings webpage. 


Office Hours on Wednesdays in Gordon Hall #500 from 1-3pm