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Qualifying Exam

System-Wide Approximation Management for Energy/Quality Trade-offs


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Wednesday, May 24, 2017, 01:00pm


Approximation is a fundamental property of applications that need to be productive in uncertain and resource-constrained environments. Applications are configured to maximize outcome quality while respecting a budget. Current approaches rely on extensive off-line training to determine trade-off spaces. We introduce a graph representation, the RSDG, that exposes the approximation levels and dependencies. RSDG enables an efficient training phase, and formulates the problem as a constrained optimization problem. We have implemented RAPID, a programming framework that defines and executes RSDGs. RAPID dynamically adjusts the application behavior, updates the cost model, and optimizes groups of applications in multi-application environments.

Speaker: Liu Liu



Location : CoRE A (301)


Prof.Ulrich Kremer(Chair), Prof.Abhishek Bhattacharjee, Prof. Desheng Zhang, Prof. Eric Allender, Prof.Sibren Isaacman (Loyola University)

Event Type: Qualifying Exam



Dept. of Computer Science