Emerging real-world graph problems include detecting community structure in large social networks, improving the resilience of the electric power grid, and detecting and preventing disease in human populations. Unlike traditional applications in computational science and engineering, solving these problems at scale often raises new challenges because of sparsity and the lack of locality in the data, the need for additional research on scalable algorithms and development of frameworks for solving these problems on high performance computers, and the need for improved models that also capture the noise and bias inherent in the torrential data streams. In this talk, the speaker will discuss the opportunities and challenges in massive data-intensive computing for applications in computational biology, genomics, and security. This talk will highlight the importance of a portfolio of high performance computing and big data platforms for massive data analytics.
David A. Bader is a Full Professor in the School of Computational Science and Engineering, College of Computing, at Georgia Institute of Technology, and Executive Director for High Performance Computing. Dr. Bader serves as a Board member of the Computing Research Association (CRA), and on the Steering Committees of the IPDPS and HiPC conferences. He is Program Chair for IPDPS 2014, and has served as the General Chair of IPDPS 2010 and Chair of SIAM PP12. He is an associate editor-in-chief of the Journal of Parallel and Distributed Computing (JPDC), and editor-in-chief of the IEEE Transactions on Parallel and Distributed Systems (TPDS). Dr. Bader’s interests are at the intersection of high-performance computing and real-world applications, including computational biology and genomics and massive-scale data analytics. He is also a leading expert on multicore, manycore, and multithreaded computing for dataintensive applications such as those in massive-scale graph analytics. He has co-authored over 130 articles in peer-reviewed journals and conferences, and his main areas of research are in parallel algorithms, combinatorial optimization, massive-scale social networks, and computational biology and genomics. Prof. Bader is a Fellow of the IEEE and AAAS, a National Science Foundation CAREER Award recipient, and has received numerous industrial awards from IBM, NVIDIA, Intel, Cray, Oracle/Sun Microsystems, and Microsoft Research. Bader is a cofounder of the Graph500 List for benchmarking “Big Data” computing platforms. Bader is recognized as a “RockStar” of High Performance Computing by InsideHPC and as HPCwire’s People to Watch in 2012. http://www.cc.gatech.edu/~bader