Institute · 08
The Institute for Climate & Sustainable Computing addresses the dual challenge of greening computation and leveraging computation to address climate change.
Laboratories
Each lab operates independently with dedicated staff, shared institute infrastructure, and its own research agenda.
Energy-proportional computing, approximate computing, near-threshold voltage operation, and architectural techniques for dramatic reductions in computing energy consumption.
Machine learning for climate simulation acceleration, downscaling, extreme weather prediction, and carbon cycle modeling. Physics-informed neural networks for earth systems.
Renewable energy integration, liquid cooling, workload migration, and lifecycle analysis for hyperscale and edge data centers seeking net-zero operation.
Selected Publications