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Divide and Conquer Approach to Scalable Substructure Discovery: Partitioning Schemes, Algorithms, Optimization and Performance Analysis using Map/Reduce Paradigm
(2017-05-08)
With the proliferation of applications rich in relationships, graphs are becoming the preferred choice of data model for representing/storing data with relationships. The notion of "information retrieval'' and "information ...
Optimizing Resource Utilization, Efficiency and Scalability in Deep Learning Systems
(2023-05-01)
This thesis addresses the challenges of utilization, efficiency, and scalability faced by deep learning systems, which are essential for high-performance training and serving of deep learning models. Deep learning systems ...