MCS Division researchers give talks at energy-efficient computing workshop
The 2024 Energy-Efficient Computing for Science Workshop, sponsored by the U.S. Department of Energy, Office of Advanced Scientific Computing Research, was held at Bethesda, Maryland, Sept. 9–12, 2024.
The purpose of the workshop was to identify grand challenges for capability and energy efficiency for later in the next decade and to outline a set of priority research directions and priority testbed opportunities to achieve those targets.
Several MCS Division researchers gave “flash talks”:
- Toby Isaac – Assessing the Energy Efficiency of AI for Scientific Applications
- Paul Hovland – Energy-Efficient Derivatives, Derivatives for Energy Efficiency
- Kibaek Kim – Energy-Efficient Computing in Federated Learning
- Matt Menickelly – Energy Efficient Algorithms for Nonlinear Optimization
- Tom Peterka – Priority Research Directions for an Energy-Efficient Data Framework
- Xingfu Wu – A Software Codesign Framework for Energy Efficient Scientific Applications
- Kazutomo Yoshii – Accelerating Energy-Efficient Scientific High-Performance Computing with Hardware Specialization
- Hui Zhou – Energy Efficient HPC Runtime Systems Require Flexibility and Interoperability
For the flash talk slides and other information about the workshop, see the website.
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