DataSys: Data-Intensive Distributed Systems LaboratoryData-Intensive Distributed Systems Laboratory

Illinois Institute of Technology
Department of Computer Science

HPC 2.0 - Trends, Drivers and Solutions of High Performance ComputingFrank Lee

Dr. Frank Lee
Business Development Executive
Senior Solution/IT Architect
IBM Corporation

Stuart Building 111
Monday, August 29th, 2011
12:45PM - 1:45PM

Abstract: The landscape of high performance computing is evolving rapidly, driven by complex applications, data explosion, cloud and the need to integrate HPC with research innovation, business sustainability and economic development. We'll review all these aspect as both challenge as well as opportunities to develop solutions, collaboration and partnership. We'll also study some of the latest projects or development that break the barrier of innovation for HPC -- Blue Waters and IBM Watson. 

Bio: Dr. Frank Lee is a Business Development Executive and IT architect for IBM Corp, responsible for designing and implementing solutions for infrastructure and informatics in the public sector. Dr. Lee is a strong advocate of the convergence of High-performance computing (HPC) and Cloud computing in research, education and government, pushing the trend in what he termed HPC 2.0 ( Since 2001, Dr. Lee has been the lead architect in analyzing, designing, optimizing, implementing and supporting IT infrastructure projects for Healthcare, Life Sciences, Higher-education and Government, working with Pfizer, Novartis, Merck, Bristol-Myers Squibb, Roche, Eli Lilly, GSK, Abbott, Fred Hutch Cancer Research Center, Harvard, MIT, Boston University, Brown University, Northwestern University, Washington University, U Penn, Indiana University, University of Central Florida, Texas A&M, UMDNJ, USC, Georgia Tech, GSU, UC Berkeley, State of Montana, Johnson & Johnson, P&G, Monsanto and many others. Some of Dr. Lee’s works include: building world's top-ranked super-computers for research; architecting shared research infrastructure using cloud computing model; developing text analytics, pattern discovery and visualization platforms; designing data management solution ranging from laboratory informatics to collaborative scientific research; enabling advanced business analytics for healthcare and transportation industries. Prior to joining IBM, Dr. Lee founded a technology startup company that focused on developing search engine and portal based on a multi-lingual data model and taxonomy. Dr. Lee started his research and computing career through participation in the large-scale genome sequencing project as a research associate and bioinformatician at Washington University in St. Louis. Trained as a molecular geneticist, Dr. Lee also conducted research with model organisms and discovered a novel cellular signaling pathway implicated in cancer gene regulation. His ground-breaking Ph.D. research was published in the EMBO Journal and has been cited hundreds of times.