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References

1
Joshua E. Barnes and Piet Hut. A hierarchical O(NlogN) force-calculation algorithm. Nature, 324:446-449, 1986.

2
Donald J. Becker, Thomas Sterling, Daniel Savarese, John E. Dorband, Udaya A. Ranawake, and Charles V. Packer. Beowulf: a parallel workstation for scientific computation. In Tse yun Feng, editor, Proceedings of the 1995 International Conference on Parallel Processing, Volume 1: Architecture. CRC Press LLC, 1995.

3
E. Bertschinger and J. M. Gelb. Cosmological N-body simulations. Computers in Physics, 5:164-179, 1991.

4
R. G. Carlberg. Velocity bias in clusters. Astrophysical Journal, 433:468-478, 1994.

5
M. Davis, G. Efstathiou, C. S. Frenk, and S. D. M. White. The evolution of large-scale structure in a universe dominated by cold dark matter. Astrophysical Journal, 292:371-394, 1985.

6
J. M. Gelb and E. Bertschinger. Cold dark matter 1: The formation of dark halos. Astrophysical Journal, 436:467-490, 1994.

7
P. J. E. Peebles. Principles of Physical Cosmology. Princeton, 1993.

8
David W. Pfitzner. Density profiles of dark matter halos formed in dissipationless cosmology simulations. In M. Arnaboldi, G. S. Da Costa, and P. Saha, editors, The Second Stromlo Symposium: The Nature of Elliptical Galaxies, pages 109-110, San Francisco, 1996. Astronomical Society of the Pacific.

9
John K. Salmon and Michael S. Warren. Parallel out-of-core methods for N-body simulation. In Michael Heath, Virginia Torczon, et al., editors, Eigth SIAM Conference on Parallel Processing for Scientific Computing. SIAM, 1997.

10
David W. Scott. Multivariate density estimation: theory, practice and visualization. Wiley-Interscience, 1992.

11
B. W. Silverman. Density estimation for statistics and data analysis. Chapman and Hall, 1986.

12
F. J. Summers, M. Davis, and A. E. Evrard. Galaxy tracers and velocity bias. Astrophysical Journal, 454:1-14, 1995.

13
Michael S. Warren and John K. Salmon. A portable, parallel particle program. Computer Physics Communications, 87:266-290, 1995.

14
Michael S. Warren, John K. Salmon, Donald J. Becker, M. Patrick Goda, Thomas Sterling, and Grégoire S. Winckelmans. Pentiumpro inside: I. a treecode at 430 gflops on ASCI red, II. price/performance of $50/Mflop on Loki and Hyglac. In Supercomputing '97, Los Alamitos, 1997. IEEE Comp. Soc. in press.

15
W. H. Zurek, P. J. Quinn, J. K. Salmon, and M. S. Warren. Large scale structure after COBE: Peculiar velocities and correlations of cold dark matter halos. Astrophysical Journal, 431:559-568, 1994.

David W. Pfitzner Obtained degree of Bachelor of Science with Honours, at The University of Adelaide, 1994. Currently studying for degree of Doctor of Philosophy in Astronomy and Astrophysics, at Mount Stromlo and Siding Spring Observatories, The Australian National University. John K. Salmon received his Ph.D. from Caltech in 1991. His research is in parallel scientific computation, and the use of massively parallel supercomputers for applications in astrophysics and fluid dynamics. In 1992 he shared the Gordon Bell prize for achievement in large scale computing. Recently, he has been studying out-of-core techniques and the use of commodity processors to achieve cost-effective large-scale computing.

Thomas Sterling has been engaged in research related to parallel computer architecture, system software, and evaluation for more than a decade. He was a key contributor to the design, implementation, and testing of several experimental parallel architectures. His current research focuses on innovative approaches to achieving peta-scale (i.e., tex2html_wrap_inline2214 operations per second and/or tex2html_wrap_inline2214 bytes of storage) computing. The Hybrid Technology Multi Threaded (HTMT) architecture combines advanced technologies from superconducting logic, optical switching, processor-in-memory fabrication, multithreaded programming and optical holographic storage into a single system. On a more mundane level, he has also pioneered the Beowulf approach to commodity parallel processing. Since completing his Ph.D. as a Hertz Fellow from MIT in 1984, Dr. Sterling has done research at the Harris Corporation's Advanced Technology Department, the IDA Supercomputing Research Center and the USRA Center for Excellence in Space Data and Information Sciences at the Goddard Space Flight Center. He now holds a joint research appointment at the California Institute of Technology and the NASA Jet Propulsion. He holds six patents, is the co-author of two books and has published dozens of papers in the field of parallel computing.



John Salmon
Sat Sep 27 18:44:36 PDT 1997