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Qualifying Exam: System-Wide Approximation Management for Energy/Quality Trade-offs

Abstract: 

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)

Event Date: 
05/24/2017 - 1:00pm
Committee: 

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

Event Type: 

Qualifying Exam

Organization: 

Dept. of Computer Science