22 citations · 27 across the 5 of their papers we have counts for
5 papers
Trace Replay Simulation of MIT SuperCloud for Studying Optimal Sustainability Policies
Wesley Brewer, Matthias Maiterth, Damien Fay
The rapid growth of AI supercomputing is creating unprecedented power demands, with next-generation GPU datacenters requiring hundreds of megawatts and producing fast, large swings…
HPC Digital Twins for Evaluating Scheduling Policies, Incentive Structures and their Impact on Power and Cooling
Matthias Maiterth, Wesley H. Brewer, Jaya S. Kuruvella +8
Schedulers are critical for optimal resource utilization in high-performance computing. Traditional methods to evaluate schedulers are limited to post-deployment analysis, or simul…
Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training
Wesley Brewer, Murali Meena Gopalakrishnan, Matthias Maiterth +12
With the end of Moore's law and Dennard scaling, efficient training increasingly requires rethinking data volume. Can we train better models with significantly less data via intell…
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale
Wesley Brewer, Matthias Maiterth, Vineet Kumar +8
We present ExaDigiT, an open-source framework for developing comprehensive digital twins of liquid-cooled supercomputers. It integrates three main modules: (1) a resource allocator…
Exploring the Frontiers of Energy Efficiency using Power Management at System Scale
Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin +3
In the face of surging power demands for exascale HPC systems, this work tackles the critical challenge of understanding the impact of software-driven power management techniques l…