8:30am - 8:45am
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Welcome
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abstract
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Bart and Jeff
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ppt
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8:45am - 9:15am
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Statistical Binary Parsing: Using Machine Learning to Extract Code from Uncooperative Binaries
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abstract
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Nathan Rosenblum, University of Wisconsin
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ppt
pdf
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9:15am - 9:45am
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Correct Relocation, or Do I Trust a Mutated Binary?
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abstract
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Drew Bernat, University of Wisconsin
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ppt
pdf
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9:45am - 10:15am
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A Framework for Reusing Previously Parsed Data
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abstract
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James Waskievitz, University of Maryland
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ppt
pdf
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10:15am - 10:45am
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Break
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10:45am - 11:15am
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Optimizing Your Dyninst Program
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abstract
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Matt Legendre, University of Wisconsin
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ppt
pdf
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11:15am - 11:45am
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The Deconstruction of Dyninst and the SymtabAPI
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abstract
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Giri Ravipati, University of Wisconsin
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ppt
pdf
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11:45am - 12:15pm
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Binary Slicing Using Dyninst
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abstract
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Tugrul Ince, University of Maryland
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ppt
pdf
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12:15pm - 1:30pm
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Lunch
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1:30pm - 2:00pm
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Automatic Performance Tuning: An Application Case
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abstract
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Paola Caymes-Scutari, Universitat Autanoma de Barcelona
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ppt
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2:00pm - 2:30pm
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Distributed Self-Propelled Instrumentation
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abstract
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Bart Miller, University of Wisconsin
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ppt
pdf
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2:30pm - 3:00pm
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Automated Adaptive Bug Isolation Using Dyninst
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abstract
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Arumuga Nainar, University of Wisconsin
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ppt
pdf
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3:00pm - 3:30pm
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Sophisticated Runtime Adaptations and Fault-Injection using Dyninst
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abstract
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Rean Griffith, Columbia University
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ppt
pdf
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3:30pm - 4:00pm
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Break
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4:00pm - 4:30pm
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Scalable TBON Failure Recovery
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abstract
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Dorian Arnold, University of Wisconsin
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ppt
pdf
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4:30pm - 5:00pm
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Stack Trace Analysis for Large Scale Debugging using MRNet
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abstract
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Martin Schulz, Lawrence Livermore National Laboratory
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ppt
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5:00pm - 5:30pm
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Group File Operations: A New Idiom for Scalable Tools
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abstract
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Michael Brim, University of Wisconsin
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ppt
pdf
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