Join Chameleon at SC24 in Atlanta from November 17-20, 2024, as we showcase our contributions to advancing high-performance computing research. From hands-on tutorials to a workshop on reproducibility, BoF sessions, and REU student presentations, we invite you to explore Chameleon’s role in driving innovation. Don’t miss our integration with SCinet and FABRIC, opening new collaboration opportunities. For more details or to connect with our team, visit us at SC24!

We’re excited to announce the full agenda for the upcoming Community Workshop on Practical Reproducibility in HPC, taking place on November 18, 2024, at Terminus 330 in Atlanta, GA. Visit the workshop website for complete details.

This month, we have updated appliances including Ubuntu 24.04! We also have Trovi dashboard updates and fixes to ARM64 nodes at CHI@TACC.

Join us for a groundbreaking workshop that's shaping the future of HPC research reproducibility - and save $80 while you're at it! Early bird registration now extended until October 25th. Register Now.

Discover the powerful updates in Python-chi 1.0, Chameleon's official Python library. This new release brings improved typing, new modules for hardware and storage management, interactive Jupyter widgets, clearer error messages, and easier low-level access. Learn how these enhancements can simplify your experiment workflow, from resource allocation to data analysis. Whether you're a seasoned Chameleon user or just getting started, Python-chi 1.0 offers tools to make your research more efficient and reproducible.

Join our team to work on cloud computing and empower the scientific community through cutting-edge research and technology.

We're extending our early bird registration for the Community Workshop on Practical Reproducibility in HPC (Nov. 18, ATL) to Oct. 25. Registration is $20 with the discount. Don't wait to sign up! Limited capacity. And don't forget to check out our call for presentations/abstracts. We're offering travel support up to $1500 for top presenters.

Learn how cutting-edge research is shedding light on the energy dynamics of I/O operations in HPC environments, potentially reshaping future storage designs.