Friday, October 18, 2013
10:00AM to Noon
The Graduate Center, City University of New York
Bruce Hendrickson, Acting Director for Computing Research, Sandia National Labs
Graph algorithms are a mainstay of the computer science curriculum due to the broad applicability of graph abstractions. In recent years, graphs have gained new cachet due to two related developments. First, graph models are being used for advanced data mining applications. Second, graph algorithms have become important drivers behind developments in high performance computer architectures. Graph data mining has very different computational characteristics from traditional high performance computing applications. Consequently, it is proving to be a disruptive force on the HPC landscape, motivating new ideas in algorithms, architectures and programming models. These developments have the potential to significantly impact the future of high performance computing. This talk will survey these developments and attempt to anticipate their consequences.
Bruce Hendrickson is the Acting Director of the Computing Research Center at Sandia National Laboratories. He is also an affiliated faculty in the Computer Science Department at the University of New Mexico and a Fellow of the Society for Industrial and Applied Mathematics. Bruce has worked on math, algorithms and software for a wide range of parallel computing and scientific applications. Bruce received his PhD in Computer Science from Cornell, after obtaining degrees in Mathematics and Physics from Brown. He is the author of around 100 scientific papers, has served on the editorial boards of a range of journals in parallel and scientific computing, and has helped organize a number of international meetings. His research interests include combinatorial scientific computing, parallel algorithms, linear algebra, graph algorithms, scientific software, data mining and computer architecture.
This workshop is brought to you by: The CUNY High Performance Computing Center (CUNY HPCC), The Research Foundation (RF), The Graduate Center (GC) and the College of Staten Island (CSI).