Recent Submissions

  • Markov Chains for Weighted Lattice Structures 

    Bhakta, Prateek Jayeshbhai
    Markov chains are an essential tool for sampling from large sets, and are ubiquitous across many scientific fields, including statistical physics, industrial engineering, and computer science. To be a useful tool for ...
  • Simulations of binary black holes in scalar field cosmologies 

    Tallaksen, Katharine Christina (Georgia Institute of Technology, 2016-08-01)
    Numerical relativity allows us to solve Einstein's equations and study astrophysical phenomena we may not be able to observe directly, such as the very early universe. In this work, we examine the effect of scalar field ...
  • Grasp selection strategies for robot manipulation using a superquadric-based object representation 

    Huaman, Ana Consuelo (Georgia Institute of Technology, 2016-07-29)
    This thesis presents work on the implementation of a robotic system targeted to perform a set of basic manipulation tasks instructed by a human user. The core motivation on the development of this system was in enabling ...
  • OS Support for Heterogeneous Memory 

    Kannan, Sudarsun (Georgia Institute of Technology, 2016-07-29)
    To address the 'memory wall' problem of future systems, vendors are creating heterogeneous memory structures, supplementing DRAM with on-chip stacked 3D-RAM and high capacity non-volatile memory (NVM). Each of these ...
  • Preventing exploits against memory corruption vulnerabilities 

    Song, Chengyu (Georgia Institute of Technology, 2016-08-02)
    The most common cyber-attack vector is exploit of software vulnerability. Despite much efforts toward building secure software, software systems of even modest complexity still routinely have serious vulnerabilities. More ...
  • Semantic Representation Learning for Discourse Processing 

    Ji, Yangfeng (Georgia Institute of Technology, 2016-07-21)
    Discourse processing is to identify coherent relations, such as contrast and causal relation, from well-organized texts. The outcomes from discourse processing can benefit both research and applications in natural language ...
  • EVOLUTIONARY MARKOV CHAINS, POTENTIAL GAMES AND OPTIMIZATION UNDER THE LENS OF DYNAMICAL SYSTEMS 

    Panageas, Ioannis (Georgia Institute of Technology, 2016-07-22)
    The aim of this thesis is the analysis of complex systems that appear in different research fields such as evolution, optimization and game theory, i.e., we focus on systems that describe the evolution of species, an ...
  • System Design Principles for Heterogeneous Resource Management and Scheduling in Accelerator-Based Systems 

    Sengupta, Dipanjan (Georgia Institute of Technology, 2016-06-08)
    Accelerator-based systems are making rapid inroads into becoming platforms of choice for both high end cloud services and processing irregular applications like real-world graph analytics due to their high scalability and ...
  • Efficient Resource Sharing for Big Data Applications in Shared Clusters 

    Li, Jack (Georgia Institute of Technology, 2016-05-20)
    Modern data centers are shifting to shared clusters where the resources are shared among multiple users and frameworks. A key enabler for such shared clusters is a cluster resource management system which allocates resources ...
  • Elf: Efficient Lightweight Fast Stream Processing at Scale 

    Hu, Liting (Georgia Institute of Technology, 2016-05-10)
    Large Internet companies like Facebook, Amazon, and Twitter are increasingly recognizing the value of stream data processing, using tools like Flume, Muppet, or Storm to continuously collect and process incoming data in ...
  • Landslide Information Service Based on Composition of Physical and Social Information Services 

    Musaev, Aibek (Georgia Institute of Technology, 2016-05-10)
    Modern world data come from an increasing number of sources, including data from physical sources like satellites and seismic sensors as well as social networks and web logs. While progress has been made in the filtering ...
  • Modeling, Learning, and Inference of High-Dimensional Asynchronous Event Data 

    Du, Nan (Georgia Institute of Technology, 2016-05-05)
    The increasing availability of temporal-spatial events produced from natural and social systems provides new opportunities and challenges for effective modeling the latent dynamics which inherently govern these seemly ...
  • The Complexity of Extended Formulations 

    Huq, Arefin (Georgia Institute of Technology, 2016-05-13)
    Combinatorial optimization plays a central role in complexity theory, operations research, and algorithms. Extended formulations give a powerful approach to solve combinatorial optimization problems: if one can find a ...
  • Scalable Big Data Systems: Architectures and Optimizations 

    Lee, Kisung (Georgia Institute of Technology, 2015-07-07)
    Big data analytics has become not just a popular buzzword but also a strategic direction in information technology for many enterprises and government organizations. Even though many new computing and storage systems have ...
  • Optimizing the Structure of Diffusion Networks: Theory and Algorithms 

    Khalil, Elias B (Georgia Institute of Technology, 2014-04-09)
    How can we optimize the topology of a networked system to make it resilient to flus or malware, or also conducive to the spread of information and multimedia? Previous work on information diffusion has focused on modeling ...
  • Locomotion synthesis in complex physically simulated environments 

    Tan, Jie (Georgia Institute of Technology, 2015-10-28)
    Understanding and synthesizing locomotion of humans and animals will have far-reaching impacts in computer animation, robotic and biomechanics. However, due to the complexity of the neuromuscular control and physical ...
  • Coordinated memory management in virtualized environments 

    Mohapatra, Dushmanta (Georgia Institute of Technology, 2015-11-16)
    Two recent advances are the primary motivating factors for the research in my dissertation. First, virtualization is no longer confined to the powerful server class machines. It has already been introduced into smart-phones ...
  • Robots learning actions and goals from everyday people 

    Akgun, Baris (Georgia Institute of Technology, 2015-11-16)
    Robots are destined to move beyond the caged factory floors towards domains where they will be interacting closely with humans. They will encounter highly varied environments, scenarios and user demands. As a result, ...
  • Collecting and representing parallel programs with high performance instrumentation 

    Railing, Brian Paul (Georgia Institute of Technology, 2015-11-16)
    Computer architecture has looming challenges with finding program parallelism, process technology limits, and limited power budget. To navigate these challenges, a deeper understanding of parallel programs is required. I ...
  • Understanding and defending against internet infrastructures supporting cybecrime operations 

    Konte, Maria (Georgia Institute of Technology, 2015-11-16)
    Today's cybercriminals must carefully manage their network resources to evade detection and maintain profitable businesses. For example, a rogue online enterprise has to have multiple technical and business components ...

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