David Ediger, Jason Riedy, David A. Bader, and Henning
Meyerhenke. Computational graph analytics for massive
streaming data. In Hamid Sarbazi-azad and Albert Zomaya,
editors, Large Scale Network-Centric Computing
Systems, Parallel and Distributed Computing,
chapter 25. Wiley, July 2013. (to appear).
E. Jason Riedy, Henning Meyerhenke, David Ediger, and
David A. Bader. Parallel community detection for
massive graphs. In David A. Bader, Henning Meyerhenke,
Peter Sanders, and Dorothea Wagner, editors, Graph
Partitioning and Graph Clustering, volume 588 of
Contemporary Mathematics, pages
207–222. American Mathematical Society, 2013.
David Ediger, Karl Jiang, Jason Riedy, and David A. Bader.
GraphCT: Multithreaded algorithms for massive graph analysis.
IEEE Transactions in Parallel and Distributed Systems, 2013.
David Ediger, Robert McColl, Jason Riedy, and
David A. Bader. STINGER: High performance data
structure for streaming graphs. In The IEEE High
Performance Extreme Computing Conference (HPEC),
Waltham, MA, September 2012.
E. Jason Riedy, David A. Bader, and Henning Meyerhenke.
Scalable multi-threaded community detection in social networks.
In 6th Workshop on Multithreaded Architectures and Applications
(MTAAP), May 2012.
Jason Riedy, Henning Meyerhenke, David A. Bader, David
Ediger, and Timothy G. Mattson. Analysis of streaming
social networks and graphs on multicore architectures.
In IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP). Kyoto, Japan, March
E. Jason Riedy is faculty in the School of Computational Science
and Engineering at Georgia
Tech as a Research Scientist II. He works primarily with
Dr. David A. Bader
on developing tools and algorithms for dynamic social network
analysis. His software framework for parallel analysis of
massive, streaming graph data (STING) supports many different
analyses of real, dynamic data. He has codes extending (and
included within) the widely used packages LAPACK and the extended-precision BLAS
(XBLAS). He has contributed to GNU Octave, GNU Emacs, GNU R packages, git, and other free
software. He was a member of the IEEE 754 revision
committee and has presented widely on software development
and research. His dual B.S. in Computer Science and Mathematics
is from the University of Florida in 1998. His Ph.D. in Computer
Science is from the University of California, Berkeley in 2010
in combinatorial optimization and targetted high-precision