Hermes

modern scientific applications are generating unprecedented amounts of data, pushing traditional storage systems to their limits. hermes is my solution to this challenge - an intelligent middleware system that seamlessly bridges high-performance computing and complex storage hierarchies.

what makes hermes special? 💡

imagine your data storage as a multi-lane highway system. some lanes are incredibly fast but expensive (like ram), while others are slower but can handle more traffic (like traditional storage). hermes acts as an intelligent traffic control system, automatically routing your data through the most efficient paths. unlike traditional solutions that treat all storage the same, hermes understands and adapts to different storage technologies, making it uniquely powerful for modern scientific computing.

key innovations

• smart data management: using machine learning and advanced algorithms to automatically place data where it performs best
• seamless integration: works with existing scientific tools through posix and hdf5 interfaces
• adaptive performance: learns from your application’s behavior to continuously improve performance
• distributed architecture: scales efficiently across computing clusters

real-world impact 🌍

hermes isn’t just a research project - it’s making a real difference in scientific discovery:

• 2-10x performance boost for common scientific workflows
• adopted by major labs including pnnl, llnl, and ornl
• powering discoveries in climate modeling, particle physics, and ai-driven research

featured applications

• deepdrivemd: accelerating molecular dynamics simulations
• hacc: enabling faster cosmological simulations
• ai storm tracking: improving severe weather predictions
• lammps: enhancing materials science research

behind the innovation

as the principal architect of hermes, i led its development from initial concept through successful nsf funding and deployment at major research facilities. working with the hdf group, we’ve transformed hermes into a thriving open-source project that’s continually evolving to meet the needs of the scientific computing community.

join the hermes community 🤝

hermes is designed as a community-driven project, and contributions are welcome from both academic and industrial researchers. we invite you to explore the source code on github, where you can join our growing network of contributors, explore our documentation, and get involved in ongoing development.

together, we can continue to push the boundaries of high-performance i/o, making complex storage systems more accessible and efficient for the entire hpc community.

get started 🔧

• repository: github - hermes project
• documentation: comprehensive guides and tutorials available in our wiki.
• community forums: join discussions, share ideas, and collaborate on our zulip channel.

looking forward

the future of scientific computing demands increasingly sophisticated data management solutions. hermes continues to evolve, with ongoing development in areas like:

• advanced machine learning integration
• enhanced support for emerging storage technologies
• expanded application integration
• improved automation and self-optimization

acknowledgements 🙏

the development of hermes would not have been possible without the support of the national science foundation (nsf), whose funding played a crucial role in transforming preliminary research into a full-scale project. additionally, our collaboration with the hdf group was instrumental in refining the hermes architecture and maintaining the open-source codebase, ensuring its robustness and continued growth.

Want to learn more about Hermes or discuss potential collaborations? Feel free to reach out!