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Expanders in Arithmetic Circuit Lower Bound : Towards a Separation Between ROABPs and Multilinear Depth 3 Circuits
Consider the problem of Polynomial Identity Testing(PIT): we are given an arithmetic circuit
computing a multivariate polynomial over some eld and we have to determine whether that
polynomial is identically zero or not. ...
Efficient Schemes for Partitioning Based Scheduling of Real-Time Tasks in Multicore Architecture
The correctness of hard real-time systems depends not only on its logical correctness but also, on its ability to meet all its deadline. Existing real-time systems use either a pure real-time scheduler or a real-time ...
P3 : An Effective Technique for Partitioned Path Profiling
Acyclic path profile is an abstraction of dynamic control flow paths of procedures and
has been found to be useful in a wide spectrum of activities. Unfortunately, the runtime
overhead of obtaining such a profile can be ...
Decision Making under Uncertainty : Reinforcement Learning Algorithms and Applications in Cloud Computing, Crowdsourcing and Predictive Analytics
In this thesis, we study both theoretical and practical aspects of decision making, with a focus on reinforcement learning based methods. Reinforcement learning (RL) is a form of semi-supervised learning in which the agent ...
Semantic Analysis of Web Pages for Task-based Personal Web Interactions
(2017-11-27)
Mobile widgets now form a new paradigm of simplified web. Probably, the best experience of the Web is when a user has a widget for every frequently executed task, and can execute it anytime, anywhere on any device. However, ...
nuKSM: NUMA-aware Memory De-duplication for Multi-socket Servers
An operating system's memory management has multiple goals, e.g. reducing memory access latencies, reducing memory footprint. These goals can conflict with each other when independent subsystems optimize them in silos. ...
Large Data Clustering And Classification Schemes For Data Mining
(2009-03-20)
Data Mining deals with extracting valid, novel, easily understood by humans, potentially useful and general abstractions from large data. A data is large when number of patterns, number of features per pattern or both are ...