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A Memory Allocation Framework for Optimizing Power Consumption and Controlling Fragmentation
(2018-07-20)
Large physical memory modules are necessary to meet performance demands of today's ap-
plications but can be a major bottleneck in terms of power consumption during idle periods or when systems are running with workloads ...
Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design
(2017-11-27)
A fundamental question in a sequential decision making setting under uncertainty is “how to allocate resources amongst competing entities so as to maximize the rewards accumulated in the long run?”. The resources allocated ...
Learning with Complex Performance Measures : Theory, Algorithms and Applications
(2017-12-07)
We consider supervised learning problems, where one is given objects with labels, and the goal is to learn a model that can make accurate predictions on new objects. These problems abound in applications, ranging from ...
Game-Theoretic Analysis of Strategic Behaviour in Networks, Crowds and Classrooms
(2018-01-03)
Over the past decade, the explosive growth of the Internet has led to a surge of interest to understand and predict aggregate behavior of large number of people or agents, particularly when they are connected through an ...
Targeted Client Synthesis for Detecting Concurrency Bugs
(2018-01-01)
Detecting concurrency bugs can be challenging due to the intricacies associated with their manifestation. These intricacies correspond to identifying the methods that need to be invoked concurrently, the inputs passed to ...
Consistency of Spectral Algorithms for Hypergraphs under Planted Partition Model
(2018-01-01)
Hypergraph partitioning lies at the heart of a number of problems in machine learning as well as other engineering disciplines. While partitioning uniform hypergraphs is often required in computer vision problems that ...
Power Issues in SoCs : Power Aware DFT Architecture and Power Estimation
(2018-01-10)
Test power, data volume, and test time have been long-standing problems for sequential scan based testing of system-on-chip (SoC) design. The modern SoCs fabricated at lower technology nodes are complex in nature, the ...
Morse-Smale Complexes : Computation and Applications
(2018-01-30)
In recent decades, scientific data has become available in increasing sizes and
precision. Therefore techniques to analyze and summarize the ever increasing
datasets are of vital importance. A common form of scientific ...
On Learning k-Parities and the Complexity of k-Vector-SUM
(2018-02-06)
In this work, we study two problems: first is one of the central problem in learning theory of learning sparse parities and the other k-Vector-SUM is an extension of the not oriousk-SUM problem. We first consider the problem ...
A Case for Protecting Huge Pages from the Kernel
(2018-01-01)
Modern architectures support multiple size pages to facilitate applications that use large chunks of contiguous memory either for buffer allocation, application specific memory management, in-memory caching or garbage ...

