Title :
An Interactive Environment to Manipulate Large Graphs
Author :
Gilbert, John R. ; Shah, Virali ; Reinhardt, S.
Author_Institution :
Dept. of Comput. Sci., California Univ., Santa Barbara, CA, USA
Abstract :
Interactive environments such as Matlab and Star-P have made numerical computing tremendously accessible to engineers and scientists. They allow people who are not well-versed in the art of numerical computing to nonetheless reap the benefits of numerical computing. The same is not true in general for combinatorial computing. Often, many interesting problems require a mix of numerical and combinatorial computing. Tools developed for numerical computing - such as sparse matrix algorithms - can also be used to develop a comprehensive infrastructure for graph algorithms. We describe the current status of our effort to build a comprehensive infrastructure for operations on large graphs in an interactive parallel environment such as Star-P.
Keywords :
graph theory; mathematics computing; sparse matrices; Matlab; Star-P; combinatorial computing; interactive parallel environment; large graph manipulation; numerical computing; sparse matrix algorithms; Acoustic sensors; Clustering algorithms; Concurrent computing; Data structures; Graphics; High performance computing; Partitioning algorithms; Signal processing algorithms; Silicon; Sparse matrices; Combinatorial scientific computing; Interactive; Large graphs; Pattern discovery;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.367291