Scheduling Variable Capacity Resources for Sustainability

Anne Benoit is Full Professor in the Computer Science Laboratory LIP at ENS Lyon, France, and a Senior Member of Institut Universitaire de France. She is the Editor in Chief of Parco, and she has been Associate Editor in Chief of JPDC and Parco. She was the Chair of the IEEE CS TCPP (2020–2024), and she has chaired the program committee of several major conferences in her field, in particular SC, IPDPS, ICPP and HiPC. Her research interests include algorithm design and scheduling techniques for parallel and distributed platforms, with a focus on energy awareness and resilience.Andrew A. Chien is the William Eckhardt Professor at the University of Chicago and a Senior Scientist at Argonne National Laboratory, and in prior roles has served at Intel Vice President of Research and Professor at UCSD and University of Illinois. Dr. Chien is a global research leader for sustainable computing, datacenters and power grids, parallel computing, computer architecture, clusters, resource scheduling, and cloud computing, and has received numerous awards for his research. Dr. Chien is an ACM, IEEE, and AAAS Fellow, and earned his PhD, MS, and BS from M.I.T.Yves Robert is Full Professor in the Computer Science Laboratory LIP at ENS Lyon, France. He is the author of 7 books, 170 journal papers and 250 conference papers. He is the editor of 11 book proceedings and 13 journal special issues. He is the advisor of 38 PhD students. His main research interests are scheduling techniques and resilient algorithms for large-scale platforms. He is a Fellow of the IEEE. He has been awarded the 2014 IEEE TCSC Award for Excellence in Scalable Computing, the 2016 IEEE TCPP Outstanding Service Award, and the 2020 IEEE CS Charles Babbage Award.

• 1. The Emerging Challenge of Variable Capacity Scheduling Part 1: The Variable Capacity Resource Problem 2. From High-performance Computing Datacenters to Grid-integrated AI Datacenters 3. Scheduling Algorithms and Techniques with Variable Capacity Resources Part 2: Infrastructures and Applications 4. Managing Distributed Cloud Infrastructures for Sustainability 5. A Comprehensive Blueprint for Sustainable Computing Part 3: Power Optimization for Job Execution 6. Leveraging Application Characteristics for Energy Savings 7. Energy Minimization in Real-Time Systems: from Worst-Case Guarantees to Statistical Learning Part 4: Social Impact 8. Societal Impacts of Scheduling in HPC and Data Centers