Now showing items 41-60 of 68

    • Improved Genetic Algorithms for Route Optimization 

      Dedha, Ansh (2020-05)
      Route optimization is a problem that has been studied for centuries. There exist numerous solutions to the problem, especially for scenarios that have a pre-existing geometry, resulting in a discrete search space, such as ...
    • Influence of Runtime Parameters on the Performance of Parallel Applications 

      Mangrulkar, Shailesh 1989- (2012-12)
      Most parallel and sequential applications achieve a low percentage of the theoretical peak performance of a given processor and platform. While some of the reasons for this performance problem, such as cache utilization ...
    • LARGE SCALE NETWORK PROTOCOL EMULATION ON COMMODITY CLOUD 

      Dutta, Anirup 1989- (2013-12)
      Network emulation allows us to evaluate network protocol implementations, typically in higher fidelity than simulations. Most emulators allow execution of code in the platform or environment similar to the target platform ...
    • METHODS FOR PROCESSING 3D IMAGES FOR BREAST MORPHOLOGY 

      Zhao, Lijuan 1970- (2015-05)
      In this research, two novel algorithms are developed to facilitate quantitative evaluation of breast aesthetics for preoperative planning and postoperative outcome assessment in breast reconstruction surgery in cancer ...
    • Modeling Human Motion for Predicting Usage of Hospital Operating Room 

      Sghir, Ilyes 1990- (2014-08)
      We present a system that exploits existing video streams from an hospital operating room (OR) to infer the OR usage state through Bayesian modeling. We define OR states based on common surgical processes that are relevant ...
    • Modeling Local Behavior for Multi-Person Tracking 

      Yan, Xu 1986- (2014-08)
      Multiple-pedestrian tracking in unconstrained environments is an important task that has received considerable attention from the computer vision community in the past two decades. Accurate multiple-pedestrian tracking can ...
    • Motion Histograms for Action Recognition Using a Convolutional Neural Network 

      Chotard, David Loic 1992- (2015-08)
      Video recognition of human actions is an important research subject in the field of computer vision. Such solutions are particularly useful in video surveillance to detect potential felonies, but also find applications in ...
    • MPI Based Python Libraries for Data Science Applications 

      Rodgers, John Scott (2020-05)
      Tools commonly leveraged to tackle large-scale data science workflows have traditionally shied away from existing high performance computing paradigms, largely due to their lack of fault tolerance and computation resiliency. ...
    • Novel Parallel Algorithms for a Class of Deterministic Linear Optimization Problems 

      Ma, Likang (August 201)
      The p-median problem and Intensity-Modulated Radiation Therapy (IMRT) treatment planning problems are very important practical applications in the area of optimization. Real-life instances of both problems are time-consuming ...
    • On Communication-Computation Overlap in High-Performance Computing 

      Barigou, Youcef 1987- (2016-05)
      The number of compute nodes and cores per node have increased many fold on high end computer systems over the last decade. For a parallel application to scale to tens or even hundreds of thousands of processes, all ...
    • On Holomorphic Sectional Curvature and Fibrations 

      Chaturvedi, Ananya 1987- (2016-12)
      In this dissertation, we prove the existence of a metric of definite holomorphic sectional curvature on certain compact fibrations. The basic idea for these curvature computations is to use the already available information ...
    • On Scalable Collective I/O for High Performance Computing 

      Venkatesan, Vishwanath 1985- (2013-12)
      The increasing number of cores per node has propelled the performance of leadershipscale systems from teraflops to petaflops. On the other hand, bandwidth of I/O subsystems have almost been stagnant. This has created a ...
    • Online Multi Object Tracking Using Reinforcement Learning 

      Basani, Prashanth Reddy 1995- (May 2018)
      This thesis presents an approach to online learning of Multi-Object Tracking (MOT). It is based on representations from a discriminatively trained Convolutional Neural Network (CNN) and controlled by sequentially pursuing ...
    • OpenSHMEM as an Effective Communication Layer for PGAS Models 

      Ravichandrasekaran, Naveen Namashivayam 1990-; 0000-0003-3695-5696 (December 2)
      Languages and libraries based on the Partitioned Global Address Space (PGAS) programming model have emerged in recent years with a focus on addressing the programming challenges for scalable parallel systems. Among these, ...
    • Optimizations for Energy Efficiency within Distributed Memory Programming Models 

      Jana, Siddhartha 1989-; 0000-0002-6231-8415 (2016-12)
      With the breakdown of Dennard Scaling and Moore's law, power consumption appears to be a primary challenge on the pathway to exascale computing. Extreme Scale Research reports indicate the energy consumption during movement ...
    • OPTIMIZED ALGORITHMS FOR DATA ANALYSIS IN PARALLEL DATABASE SYSTEMS 

      Cabrera, Wellington 1969- (2017-05)
      Large data sets are generally stored on disk following an organization as rows, columns or arrays, with row storage being the most common. On the other hand, matrix multiplication is frequently found in machine learning ...
    • Parallel I/O for Shared Memory Applications using OpenMP 

      Mehta, Kshitij V. 1983- (2013-08)
      I/O is a major time-limiting factor in high performance computing (HPC) applications. The combined effects of hard drive latency and bandwidth make I/O the slowest operation in a system. A lot of work has been done in ...
    • Performance models for parallel applications under failures 

      Rahman, Mohammad Tanvir 1983-; 0000-0002-5603-7043 (2017-12)
      Due to the growing size of compute clusters, large scale parallel applications increasingly have to deal with hardware malfunctions and other failure scenarios during execution. The overall goal of this research is to get ...
    • PERFORMANCE PREDICTION OF OPENMP PROGRAMS 

      Stepanyan, Victoria (2013-05)
      OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since OpenMP pragmas, directives, function calls, and environment variables are platform-independent, the API is highly portable. ...
    • Performance Tuning and Modeling of Communication in Parallel Applications 

      Jha, Shweta 1986- (2017-05)
      The goal of high performance computing is executing very large problems in the least amount of time, typically by deploying parallelization techniques. However, in- troducing parallelization to an application also introduces ...