The 5th International Industry/University Workshop on Data-center Automation, Analytics, and Control (DAAC 2022) will be held in parallel with the 15th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2022) and co-located 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2022) hosted in December 2022 in Vancouver, Washington, USA. This event is planned to be a working session coordinated with pre-conference activities with the goal to gather community input on an action plan with a special focus on Reducing HPC's Carbon Footprint.
This event follows on from previous DAAC Workshops as well as related BoFs and workshops at the SuperComputing conferences, the most recent of which is the Birds of a Feather session on Addressing HPC's Carbon Footprint at SC'22. The format of this years event will be to gather community input on a white paper to document the wide range of existing successful efforts to introduce steps that help to reduce and mitigate carbon emissions related to high performance computing and large-scale data center use in general. A surprising amount of material is available on this topic, and the goal of this workshop will be to gather, document, organize, and collate this material as a service to the community and to provide a starting point for further action.
The format of the workshop will be as follows:
Community materials will be prepared in advance for review by conference participants.
A shared document area will be created to hold and curate input and drafts.
A special session will be held as part of the main conference to review this material and discuss content.
An action plan will be produced to pursue follow-on content and to publish a guide for further action.
The event will take place Wednesday, December 7, 2022 with the online working session taking place from 5:00 to 6:30 pm Pacific time (US). An online directory area will accompany the working session for participants to help edit and be turned into an Open Grid Forum Community Practice Document for long-term access and comment.