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This advanced graduate course teaches the key design principles underlying successful computer and communication systems, and shows how to solve real problems with ideas, techniques, and algorithms fr
This course teaches the journey taken by software engineering teams from incipient ideas to software products that solve real problems for real people.
Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.
Automated verifiers rely on SMT solvers as a backend for proof automation. This simplifies verification in the common case, but also creates usability challenges due to instability. Previous work proposes mitigation strategies motivated by the assumption t ...
The rapid expansion of cloud computing, especially machine learning, is leading to a significant increase in the global energy footprint of computing. Improvements in the energy efficiency of hardware and infrastructure are nearing the point of diminishing ...
Systems code is challenging to verify, because it uses constructs (like raw pointers, pointer arithmetic, and bit twiddling) that are hard for tools to reason about. Existing approaches either sacrifice programmer friendliness, by demanding significant man ...
