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Dynamic granularity estimation is a new technique for automatically identifying expressions in functional languages for parallel evaluation. Expressions with little computation relative to thread-crea...
We describe a software error-detection tool that exploits recent advances in boolean satisfiability (SAT) solvers. Our analysis is path sensitive, precise down to the bit level, and models pointers an...
We present a new bimanual text entry technique designed for today’s dual-joystick game controllers. The left and right joysticks are used to independently select characters from the corresponding (...
We propose a method for identifying the sources of problems in complex production systems where, due to the prohibitive costs of instrumentation, the data available for analysis may be noisy or incomp...
An epidemic is malicious code running on a subset of a community,a homogeneous set of instances of an application. Syzygy is an epidemic detection framework that looks for time-correlated anomalies,i....
We present a novel static analysis technique that substantially improves the quality of invariants inferred by standard loop invariant generation techniques. Our technique decomposes multi-phase loops...
When program verification tools fail to verify a program, either the program is buggy or the report is a false alarm. In this situation, the burden is on the user to manually classify the report, but ...
We describe a general framework c2i for generating an invariant inference procedure from an invariant checking procedure. Given a checker and a language of possible invariants, c2i generates an infere...
We present a method for automatically identifying and validating predictive relationships between the visual appearance of a city and its non-visual attributes (e.g. crime statistics, housing prices,...
We explore the use of asynchronous many-task (AMT) programming models for the implementation of in situ analysis towards the goal of maximizing programmer productivity and overall performance on next ...
This article presents Saturn, a general framework for building precise and scalable static error detection systems. Saturn exploits recent advances in boolean satisfiability (SAT) solvers and is path ...
Binary proximity sensors (BPS) provide extremely low cost and privacy preserving features for tracking mobile targets in smart environment, but great challenges are posed for track-ing multiple target...
mulated annealing is a computational heuristic for obtaining approximate solutions to combinatorial optimization problems. It is used to construct good source codes, error-correcting codes, and spheri...
Shoulder-surfing --- using direct observation techniques, such as looking over someone's shoulder, to get passwords, PINs and other sensitive personal information --- is a well known weakness of passw...
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cognitive state. We consid...

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