Volume 6, Issue 3
Fall 1998

Volume 6, Issue 2
Spring/Summer 1998

Volume 6, Issue 1
Winter 1998

Volume 5, Issue 4
Fall 1997

Volume 5, Issue 3
Summer 1997

Volume 5, Issue 2
Spring 1997

Volume 5, Issue 1
Winter 1997

Volume 4, Issue 4
Fall 1996

Volume 4, Issue 3
Summer 1996

Volume 4, Issue 2
Spring 1996

Volume 4, Issue 1
Winter 1996

Volume 3, Issue 4
Fall 1995

Volume 3, Issue 3
Summer 1995

Volume 3, Issue 2
Spring 1995

Volume 3, Issue 1
January 1995

Volume 2, Issue 4
October 1994

Volume 2, Issue 3
July 1994

Volume 2, Issue 2
April 1994

Volume 2, Issue 1
January 1994

Volume 1, Issue 4
October 1993

Volume 1, Issue 3
July 1993

Volume 1, Issue 2
April 1993

Volume 1, Issue 1
January 1993

Daniel A. Reed

Professor, Computer Science, University of Illinois, Urbana-Champaign, and Research Scientist, National Center for Supercomputing Applications

Daniel Reed is interested in resource management for parallel operating systems, parallel algorithms, modeling and performance analysis for computer architectures, and parallel computer system dynamics. Currently, his primary research interests are tools and techniques for capturing and analyzing the performance of parallel systems via instrumentation and presentation techniques and virtual reality. These techniques support study of resource management for parallel systems, most notably input/output characterization and parallel file systems, and are critical to developing high-performance implementations of data parallel languages like HPF.

Reed directs the Pablo research group, whose primary focus is the capture and analysis of performance data from massively parallel computer systems, with the goal of understanding the interaction of architecture, system software, and applications. The Pablo performance analysis environment provides portable performance data capture and presentation tools for scalable parallel systems and has been used to analyze input/output performance, tune application communication behavior, and to study World Wide Web server behavior. The Pablo system has been distributed to academic sites throughout the world and has been licenced to Intel, as the basis for the performance analysis tools on the Intel Paragon XP/S.

Reed is a member of a collaborative, NSF-funded Grand Challenge group with Caltech to explore the input/output performance of scientific codes using the Pablo instrumentation software technology. He is also a principal in the multi-agency national Scalable I/O Initiative (SIO). Among his other achievements, Reed received an NSF Presidential Young Investigator Award in 1987. He has served on editorial boards for journals such as IEEE Transactions on Parallel and Distributed Systems, Concurrency Practice and Experience, and the International Journal of High-Speed Computing. He serves other HPCC community functions for ACM Sigmetrics '96, Sigmetrics '96 Symposium on Parallel Tools, IOPADS: Fourth Annual Workshop on I/O in Parallel and Distributed Systems, and the USRA/RIACS Science Council.