David F. Gleich

homepage: | http://www.cs.purdue.edu/homes/dgleich/ |

search externally: |
Google Scholar, Springer, CiteSeer, Microsoft Academic Search, Scirus , DBlife |

#### Description

Professor Gleich is interested in how we can utilize matrix algebra to express -- and improve -- algorithms in network analysis and data-based simulation analysis. Matrix algebra is a particularly attractive paradigm to study these procedures as it often gives rise to efficient computational procedures in a variety of settings (serial, parallel, streaming). This research straddles a few different areas and often involves working with large datasets on high performance computing architectures (e.g. MPI clusters) and data computing architectures (e.g. MapReduce).

#### Lecture:

invited talk Personalized PageRank based Community Detection as author at The 11th Workshop on Mining and Learning with Graphs (MLG) 2013,
4111 views |