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Variants of Hegselmann-Krause Model
(2017-12-04)
The Hegselmann-Krause system (HK system for short) is one of the most popular models for the dynamics of opinion formation in multi agent systems. Agents are modeled as points in opinion space, and at every time step, each ...
A GPU Accelerated Tensor Spectral Method for Subspace Clustering
(2017-11-30)
In this thesis we consider the problem of clustering the data lying in a union of subspaces using spectral methods. Though the data generated may have high dimensionality, in many of the applications, such as motion ...
Machine Learning and Rank Aggregation Methods for Gene Prioritization from Heterogeneous Data Sources
(2017-12-05)
Gene prioritization involves ranking genes by possible relevance to a disease of interest. This is important in order to narrow down the set of genes to be investigated biologically, and over the years, several computational ...
A Parallelizing Compiler for Fortran
(Indian Institute of Science, 2005-03-09)
With the advent of Distributed Memory Machines (DMMs) numerous work have been undertaken to ease the work of a programmer these systems. Data parallel languages like Fortran D, Vienna Fortran, High Performance Fortran and ...
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 ...
Designing Energy-Aware Optimization Techniques through Program Behaviour Analysis
(2018-02-18)
Green computing techniques aim to reduce the power foot print of modern embedded devices with particular emphasis on processors, the power hot-spots of these devices. In this thesis we propose compiler-driven and profile-driven ...
Effective Automatic Computation Placement and Data Allocation for Parallelization of Regular Programs
(2018-02-15)
Scientific applications that operate on large data sets require huge amount of computation power and memory. These applications are typically run on High Performance Computing (HPC) systems that consist of multiple compute ...
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 ...
Matching Domain Model with Source Code using Relationships
(2018-01-30)
We address the task of mapping a given domain model (e.g., an industry-standard reference model) for a given domain (e.g., ERP), with the source code of an independently developed application in the same domain. This has ...