UCSB alumnus Aydın Buluç researches energy-efficient graph algorithms as part of DOE Early Career award

UCSB alumnus Aydın Buluç is working on energy-efficient parallel graph and data mining algorithms as part of a 2013 DOE Early Career award grant at Lawrence Berkeley National Laboratory. In recent years technological advances have led to an explosion of data that is being generated faster than it can be analyzed. Graph abstractions provide a natural way to represent relationships among these large data sets, but existing algorithms consume too much energy per operation. Dr. Buluç is developing new algorithms to reduce the energy footprint and running time of the graph and sparse matrix computations that form the basis of various data mining techniques.

A description of the project can be found here and the original DOE Early Career award announcement can be found here.