Overview

My research is in the general area of parallel and distributed computing. Current topics center around power and performance in high-performance computing, including:

Power-Aware Runtime Systems Performance & Power Modeling Power-Aware Scheduling Inter-Job Optimization Exascale Systems

Current Projects

Exascale Computing Project (ECP) Active

Investigating power constraints in task-based parallel programs targeting future exascale machines.

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Zero-S Environment Active

Investigating the interaction of hardware features and HPC run-time systems and applications.

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Inter-Job Optimization Active

Developing models and run-time techniques for inter-job optimization aimed at exascale systems.

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Past Projects

Conductor Past

Developing models and run-time techniques aimed at exascale systems.

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Cloudster Past

Techniques for cost-effective execution of HPC applications on the cloud.

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Hobbes Past

OS support for extreme-scale systems (joint with Sandia, UNM, and others).

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Power at Scale Past

Models and schedulers to optimize power at all levels for massively parallel machines (joint with LLNL).

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See the full list of publications from this research View Publications →