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Rob Schreiber

Distinguished Technologist

 

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Contact information

Email: rob dot schreiber at hp dot com

Phone: (650) 857-8156
Physical Address: 1501 Page Mill Road, MS 1177, Palo Alto, CA 94304

Bio

Rob Schreiber is Assistant Director of the Exascale Computing Lab at Hewlett Packard Laboratories. He is known for basic research in sequential and parallel algorithms for matrix computation, and compiler optimization for parallel languages. Rob has been a professor of Computer Science at Stanford University and at RPI, was Chief Scientist at Saxpy Computer, and a research scientist at the NASA Ames Research Center. He was a developer of the sparse-matrix extension of Matlab, a leading designer of the High Performance Fortran programming language, and one of the developers of the NAS parallel benchmarks. He wrote the matrix computation libraries at Maspar. At HP, Rob was a technical leader and an implementer of PICO, a tool for hardware synthesis from high-level specifications. His current research is in algorithms and architectures for high-performance computing and data analysis.

 

 

Current Projects

 

·       Graph Clustering: With Bob Tarjan, Nina Mishra, Dennis Wilkinson, and Bei Wang, I've developed new approaches to finding clusters of graph vertices that have more connections to one another than would be expected given their degree.

·       Role Discovery: Discovering the roles or job functions in an organization from acess control lists can be a useful first step in introducing role-based access control.

·       Nanophotonic Architecture: The microprocessor of the future will consist of many CPU cores.   What isn't clear is how they will talk to each other and to memory.  Our project looks at the use of integrated photonic communication devices to raise bandwidths and reduce the energy cost of communication. 

·       The Parallel Programming Features of Matlab: I've worked with Mathworks on the new features of Matlab that allow a programmer to write code for a parallel cluster.

·       Other topics in Parallel Programming: Recent work on synchronization cost, on memory management.

·       Some work on computer vision: There are nice applications of linear algebra, theoretical and computational.

Slides from some recent talks


Publications
A list of my selected paper publications is here.

Data
The user-permission relations (bipartite graphs) used for the experiments in our SACMAT 08 paper, in a zip file: sacmat_relations.zip.  

The covers generated by the greedy heuristic with lattice-based postprocessing are in another: lattice_covers.zip

The exact covers (minimum biclique covers) generated by our problem reduction / graph coloring approach are in a third: exact_covers.zip

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Rob Schreiber

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Exascale Computing Lab

 

 

 

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Rob Schreiber

 

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