Steven Deitz

School attended: University of Washington

Field of Study: Parallel programming, compilers, and architecture

Practicum Experience:   Los Alamos National Laboratory

Degree(s): 
Ph.D. Computer Science, University of Utah, 2004;
B.A. Computer Science and Mathematics, Bowdoin College, 1998
Current Status: Employed by Cray, Inc.

Contact: deitz@cs.washington.edu

Personal web site:

Research area:

Awards: 

Publications: 

Abstractions for dynamic data distribution.  Steven J. Deitz, Bradford L. Chamberlain, and Lawrence Snyder. In Proceedings of the IEEE Workshop on High-Level Parallel Programming Models and Supportive Environments, 2004.

The high-level parallel language ZPL improves productivity and performance.  Bradford L. Chamberlain, Sung-Eun Choi, Steven J. Deitz, and Lawrence Snyder. In Proceedings of the IEEE International Workshop on Productivity and Performance in High-End Computing, 2004.

The Design and Implementation of a Parallel Array Operator for the Arbitrary Remapping of Data.   Steven J. Deitz, Bradford L. Chamberlain, Sung-Eun Choi, and Lawrence Snyder.  In Proceedings of the ACM Conference on Principles and Practice of Parallel Programming, 2003.

Compiler Support for Automatic Checkpointing.  Sung-Eun Choi and Steven J. Deitz. In Proceedings of the 16th Annual International Symposium on High Performance Computing Systems and Applications, 2002.

High-level Language Support for User-defined Reductions.  Steven J. Deitz, Bradford L. Chamberlain, and Lawrence Snyder.  In The Journal of Supercomputing, Vol. 23, No. 1, 2002.

Eliminating Redundancies in Sum-of-Product Array Computations.  Steven J. Deitz, Bradford L. Chamberlain, and Lawrence Snyder.  In Proceedings of the ACM International Conference on Supercomputing, 2001.

A Comparative Study of the NAS MG Benchmark across Parallel Languages and Architectures.  Bradford L. Chamberlain, Steven J. Deitz, and Lawrence Snyder.  In Proceedings of the ACM Conference on Supercomputing, 2000.



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