NSF CoDec at National Academies Workshop on Data Center Emissions
Andrew A Chien, Line Roald, and Prashant Shenoy participated in the Implications of Artificial Intelligence-Related Data Center Electricity Use and Emissions Workshop hosted by the National Academies Roundtable on Artificial Intelligence and Climate Change.
NSF CoDec at LBNL Data Center Load Flexibility Workshop
Andrew A Chien participated in the Data Center Load Flexibility Workshop at Lawrence Berkeley National Laboratory.
Andrew A Chien gives a keynote at the Green AI Summit
Andrew A Chien gave a keynote talk entitled “How AI Can Get the Power It Needs” at the Green AI Summit at Harvard.
Andrew A Chien gives a keynote at the Yotta 2024 conference
Andrew A Chien gave a keynote talk entitled “Dynamic Range and Cooperation: How AI Datacenters get the Ample, Cheap, Green Power?” at the Yotta 2024 conference in Las Vegas, Nevada.
Andrew A Chien quoted in Sierra Club Magazine on Cloud Carbon Footprint
Andrew A Chien is quoted in an article titled “The Carbon Footprint of Amazon, Google, and Facebook Is Growing” in the Sierra Club Magazine.
Andrew A Chien gives a keynote at the NSF Workshop on A Holistic AI Computing Framework
Andrew A Chien gave a keynote talk at the NSF Workshop on A Holistic AI Computing Framework: Incorporating the Water and Biodiversity Dimensions of Sustainability, hosted at Purdue University, West Lafayette, Indiana. His talk was entitled “Reduce Datacenter Operational Carbon and leverage that Efficiency to reduce the Water-use and Embodied Carbon“.
Andrew A Chien appears on WBEZ to discuss how cloud computing causes environmental harm
Andrew A Chien appeared on the WBEZ (Chicago PBS) program Reset with Sasha Ann Simons, as part of a panel entitled “How Cloud Computing Causes Environmental Harm“.
The data centers that form the backbone of cloud computing need tons of electricity and water to function, and as a result, those centers are having a big impact on the environment.
Reset learns more about how data centers work and what needs to happen to prevent them from contributing more to climate change as they get bigger.
Reset with Sasha-Ann Simons
NSF CoDec at HotCarbon ’24
Varsha Rao presented “Understanding the Operational Carbon Footprint of Storage Reliability and Management”, and Walid Hanafy presented “Data-driven Algorithm Selection for Carbon-Aware Scheduling” at the HotCarbon Workshop on Sustainable Computer Systems.
NSF announces funding for CoDec, a 2024 Expeditions in Computing awardee
NSF invests $36M in computing projects that promise to maximize performance, reduce energy demands
3 projects receive awards through the Expeditions in Computing program
The U.S. National Science Foundation is awarding $36 million to three projects selected for their potential to revolutionize computing and make significant impacts in reducing the carbon footprint of the lifecycle of computers. Funding for the projects comes from the NSF Expeditions in Computing (Expeditions) program, an ambitious initiative that supports transformative research poised to yield lasting impacts on society, the economy and technological advancement. Projects funded by Expeditions are characterized by their ambition and potential for transformation, leveraging advances in computing and cyberinfrastructure to accelerate discovery and innovation across various domains of science and engineering.
“We are thrilled to announce these visionary projects that will advance environmental responsibility and foster innovation in the field of computing,” said Dilma DaSilva, acting assistant director for the NSF Directorate for Computer and Information Science and Engineering (CISE). “Congratulations to these pioneering teams whose research will forge new pathways in computational decarbonization and in revolutionizing operating system design with machine learning.
Computational Decarbonization of Societal Infrastructures at Mesoscales: Led by the University of Massachusetts Amherst, this project will develop the new field of computational decarbonization, (CoDec), which focuses on optimizing and reducing the lifecycle of carbon emissions of complex computing and societal infrastructure systems. CoDec will tackle interdependencies across multiple aspects of infrastructure, including computing, transportation, buildings and the electric power grid. Through innovative sensing approaches, optimization methods grounded in theory and artificial intelligence, and software-defined interfaces, CoDec seeks to automate and coordinate carbon-efficiency optimizations across time, space and sectors. These efforts will enable scientific discoveries in decarbonization while supporting sustainable growth, advancing technology and strengthening national security. Collaborators of this project include Carnegie Mellon University, the Massachusetts Institute of Technology, the University of Chicago, UCLA and the University of Wisconsin-Madison.
U.S. National Science Foundation
