The Future of Data Centric Computing - Bill Harrod, U.S. Intelligence (IARPA)

In this thought-provoking video, we delve into the cutting-edge research and innovations reshaping data center computing. Join us as we explore how industry experts and academics are working together to create a new generation of architectures focused on addressing the challenges of streaming data analytics. Discover the importance of co-design processes, where hardware and software developers collaborate to optimize performance and efficiency. Learn about the latest breakthroughs from AMD, Intel, Qualcomm, and university teams like Georgia Tech, Indiana University, and the University of Chicago, as they tackle real-time data processing and influence maximization. Dive deep into the complexities of active messages, Fontan chips, and other novel approaches that could revolutionize the way we process data. Today’s era of explosive data growth poses serious challenges for society in transforming massive, random, heterogeneous data streams and structures into useful knowledge, a necessity in every aspect of modern life, including national security, economic productivity, scientific discovery, medical breakthroughs, and social interactions. This burgeoning data, which is increasing exponentially not only in volume, but in velocity, variety, and complexity, already far outpaces the abilities of current computing systems to execute the complex data analytics needed to extract meaningful insights in a timely manner. The key problem with today’s computers is that they were designed to address yesterday’s compute-intensive problems rather than today’s data-intensive problems. Developing data centric computing systems requires a complete rethinking of computing architectures and technologies. The computations to be performed are determined by the data, and multiple applications might need simultaneous access to the same data. These are very different conditions than those characteristic of yesterday’s compute-intensive applications. IARPA’s new AGILE Program aims to provide data-analytic results in time for appropriate response, e.g., to predict impending adversarial events rather than forensically analyzing them after the fact. It will accomplish this goal by developing new system-level intelligent mechanisms for moving, accessing, and storing large, random, time-varying data streams and structures that allow for the scalable and efficient execution of dynamic graph analytic applications. This talk will provide a selection of the technical approaches that are being developed by the AGILE Performers. About the Speaker: Dr. Bill Harrod is a program manager at the U.S.’s Intelligence Advanced Research Projects Activity (IARPA). His technical focus areas include strategic computing, trusted microelectronics, nanoscale image reconstruction, and algorithms. He developed IARPA’s AGILE program, which aims to revolutionize computer architectures for strategically essential data challenges. The architectures being developed are driven by data-intensive graph analytics and artificial intelligence algorithms. Prior to joining IARPA, Dr. Harrod worked at the Department of Energy from 2011 to 2018, where he served as the Director of the Research Division in the Advanced Scientific Computing Research (ASCR) Office. From 2005 to 2010, Dr. Harrod was a Program Manager at the Defense Advanced Research Projects Agency (DARPA). At DARPA, Dr. Harrod led a series of groundbreaking exascale computing studies, which involved leading experts in industry and academia in investigating architectures, system software, resiliency, and applications. These pioneering studies led to a detailed projection of the technical challenges needed to advance supercomputing from the petascale to the exascale level. His earlier positions included Section Leader of the Math Software Group at Cray Research and Silicon Graphics, Inc and researcher at the University of Illinois. Dr Harrod earned a Ph.D. in mathematics from the University of Tennessee and a bachelor's degree in mathematics from Emory University. Complete information about Computing Conference is available at the following link: https://saiconference.com/Computing Follow us on social media for exclusive updates, behind-the-scenes content, and more! on the following 🔗 Links: LinkedIn :   / saiconference   Instagram:   / saiconference   Facebook:   / saiconference   SaiConference: https://saiconference.com/Conferences About Us: SAI Conferences are a premier venue for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from Computer Science, Electronics and Communication related areas. The conferences feature specialized keynote talks, contributed papers, special sessions, poster presentations, workshops, and tutorials on theory and practice. Its drive is to convene a high quality, well-attended, and up-to-date conference on technology and research.