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Efficient betweenness Centrality Computations on Hybrid CPU-GPU Systems
(2017-10-11)
Analysis of networks is quite interesting, because they can be interpreted for several purposes. Various features require different metrics to measure and interpret them. Measuring the relative importance of each vertex ...
Mining Clickthrough Data To Improve Search Engine Results
(2015-02-06)
In this thesis, we aim at improving the search result quality by utilizing the search intelligence (history of searches) available in the form of click-through data. We address two key issues, namely 1) relevance feedback ...
Projection based Variational Multiscale Methods for Incompressible Navier-Stokes Equations to Model Turbulent Flows in Time-dependent Domains
(2018-06-15)
Numerical solution of differential equations having multitude of scales in the solution field is one of the most challenging research areas, but highly demanded in scientific and industrial applications. One of the natural ...
Numerical Studies of Axially Symmetric Ion Trap Mass Analysers
(2018-05-29)
In this thesis we have focussed on two types of axially symmetric ion trap mass analysers viz., the quadrupole ion trap mass analyser and the toroidal ion trap mass analyser. We have undertaken three numerical studies in ...
Multi-Core Memory System Design : Developing and using Analytical Models for Performance Evaluation and Enhancements
Memory system design is increasingly influencing modern multi-core architectures from both performance and power perspectives. Both main memory latency and bandwidth have im-proved at a rate that is slower than the increase ...
Study of Proteome and Transcriptome of Escherichia Coli Bacteria to Probe its Regulatory Aspects
(2018-08-09)
The information flow through the regulatory networks in biological systems has been a rapidly growing field of research. Translation, being a very important regulatory check point, presents itself as a legitimate process ...
Enhancing GPGPU Performance through Warp Scheduling, Divergence Taming and Runtime Parallelizing Transformations
(2018-08-29)
There has been a tremendous growth in the use of Graphics Processing Units (GPU) for the acceleration of general purpose applications. The growth is primarily due to the huge computing power offered by the GPUs and the ...
Benchmarking and Scheduling Strategies for Distributed Stream Processing
(2018-08-20)
The velocity dimension of Big Data refers to the need to rapidly process data that arrives continuously as streams of messages or events. Distributed Stream Processing Systems (DSPS) refer to distributed programming and ...
Compiling For Coarse-Grained Reconfigurable Architectures Based On Dataflow Execution Paradigm
(2015-07-24)
Coarse-Grained Reconfigurable Architectures(CGRAs) can be employed for accelerating computational workloads that demand both flexibility and performance. CGRAs comprise a set of computation elements interconnected using a ...