3 June 2021 Abstract: The emergence of big data in recent years due to the vast societal digitalization and large-scale sensor deployment has entailed significant interest in machine learning methods to enable automatic data analytics. In a majority of the learning algorithms used in industrial as well as academic settings, the first-order iterative […]
Monthly archives: May 2021
3 posts
In this post, I’ll be introducing the core aspects of my research, discussing the significance of subgraph isomorphism search in graphs, and outlining the objectives and milestones that lay ahead for me in my PhD journey. As you may know, graphs are a fundamental structure in computer science, finding applications […]
Abstract Graph algorithms are widely used in several application domains. It has been established that parallelizing graph algorithms is challenging. The parallelization issues get exacerbated when graphics processing unit (GPU) is used to execute graph algorithms. In particular, three important GPU-specific aspects affect performance: memory coalescing, memory latency, and thread […]