Keshav Pingali will give a Keynote Speech on “Taking High-performance Graph Computing from Academia to Industry”.
Graph computing on linked or connected data is central to many applications across diverse industries such as FinTech, Pharma and Manufacturing. Data volumes are growing at a staggering rate, and graphs with hundreds of billions edges are not uncommon. Computations on such data sets include querying, analytics, pattern mining, and learning. In many use cases, it is necessary to combine these operations seamlessly to extract actionable intelligence as quickly as possible. In 2021, Pingali cofounded a start-up to meet these needs, based on high-performance graph computing technology developed by his research group at the University of Texas at Austin. Pingali will discuss this journey, and the challenges of running a startup while continuing to be active in research at a top-flight university.
