Coauthored by H. J. Siegel
September 12, 2003
[1]
Tracy
D. Braun, Renard Ulrey, Anthony A. Maciejewski, and Howard Jay Siegel, “Parallel Approaches for Singular Value
Decomposition as Applied to Robotic Manipulator Jacobians,” International Journal of Parallel
Programming, Vol. 30, No. 1, pp. 1-35, Feb. 2002.
[2]
Muthucumaru
Maheswaran, Kevin J. Webb, and Howard Jay Siegel, “MCGS: A Modified Conjugate
Gradient Squared Algorithm for Nonsymmetric Linear Systems,” The Journal of Supercomputing, Vol. 14,
No. 3, pp. 257-280, Nov./Dec. 1999.
[3]
Min
Tan, Janet M. Siegel, and Howard Jay Siegel, “Parallel Implementations of
Block-Based Motion Vector Estimation for Video Compression on Four Parallel
Processing Systems,” International
Journal of Parallel Programming, Vol. 27, No. 3, pp. 195-225, June 1999.
[4]
Nicholas
Giolmas, Daniel W. Watson, David M. Chelberg, Peter V. Henstock, June Ho Yi,
and Howard Jay Siegel, “Aspects of Computational Mode and Data Distribution for
Parallel Range Image Segmentation,” Parallel
Computing, Vol. 25, No. 5, pp. 449-523, May 1999.
[5]
John
John E. So, Thomas J. Downar, Raghunandan Janardhan, and Howard Jay Siegel,
“Mapping Conjugate Gradient Algorithms for Neutron Diffusion Applications onto
SIMD, MIMD, and Mixed-Mode Machines,” International
Journal of Parallel Programming, Vol. 26, No. 2, pp. 183-207, Apr. 1998.
[6]
Mark
B. Kulaczewski and Howard Jay Siegel, “SIMD and Mixed-Mode Implementations of a
Visual Tracking Algorithm,” Merged 12th International Parallel Processing
Symposium & 9th Symposium on Parallel and Distributed Processing (IPPS/SPDP
'98), sponsor: IEEE Computer Society, pp. 716-720, Orlando, FL, Apr.
1998.
[7]
Lee
Wang, Anthony A. Maciejewski, Howard Jay Siegel, and Vwani P. Roychowdhury, “A
Comparative Study of Five Parallel Genetic Algorithms Using The Traveling
Salesman Problem,” Merged 12th International Parallel Processing
Symposium & 9th Symposium on Parallel and Distributed Processing (IPPS/SPDP
'98), sponsor: IEEE Computer Society, pp. 345-349, Orlando, FL, Apr.
1998.
[8]
James
A. Armstrong, Muthucumaru Maheswaran, Mitchell D. Theys, Howard Jay Siegel,
Mark A. Nichols, and Kenneth H. Casey, “Parallel Image Correlation: Case Study
to Examine Trade-Offs in Algorithm-to-Machine Mappings,” The Journal of Supercomputing, Special Issue on High Performance
Computing and Applications in Computer Graphics, Image Processing, and Computer
Vision, Vol. 12, Nos. 1 and 2, pp. 7-35, Jan. 1998.
[9]
Rohit Gupta, Mitchell D. Theys, and Howard Jay Siegel,
“Background Compensation and an Active-Camera Motion Tracking Algorithm,” 1997 International Conference on Parallel Processing (ICPP '97), cosponsors:
International Association for Computers and Communications and The Ohio State
University, pp. 422-430, Bloomingdale, IL, Aug. 1997.
[10]
Mark B. Kulaczewski and Howard Jay Siegel,
“Implementations of a Feature-Based Visual Tracking Algorithm on Two MIMD
Machines,” 1997 International Conference on Parallel
Processing (ICPP '97), cosponsors: International Association for Computers
and Communications and The Ohio State University, pp. 431-440, Bloomingdale,
IL, Aug. 1997.
[11]
Yan
Alexander Li, John K. Antonio, Howard Jay Siegel, Min Tan, and Daniel W.
Watson, “Determining the Execution Time Distribution for a Data Parallel
Program in a Heterogeneous Computing Environment,” Journal of Parallel and Distributed
Computing, Vol. 44, No. 1, pp. 35-52, July 10, 1997.
[12]
Mitchell
D. Theys, Richard M. Born, Mark D. Allemang, and Howard Jay Siegel,
“Morphological Image Processing on Three Parallel Machines,” Frontiers '96: The 6th Symposium on the
Frontiers of Massively Parallel Computation, sponsor: IEEE Computer
Society, pp. 327-334, Annapolis, MD, Oct. 1996.
[13]
Howard
Jay Siegel, Lee Wang, John John So, and Muthucumaru Maheswaran, “Data Parallel
Algorithms,” in Parallel and Distributed Computing Handbook, edited by Albert
Y. Zomaya, McGraw-Hill, New York, NY, pp. 466-499, 1996.
[14]
Robert
G. Palmer, Jr., Howard Jay Siegel, Janet M. Siegel, and John K. Antonio, of a
Tree-Structured Vector Quantizer for Image Compression on the MasPar MP-1
Parallel Machine,” 1994 International
Conference on Parallel and Distributed Systems (ICPADS '94), sponsor:
National Chiao Tung University, pp. 242-247, Hsinchu, Taiwan, Dec. 1994.
[15]
Daniel
W. Watson, Howard Jay Siegel, John K. Antonio, Mark A. Nichols, and Mikhail J.
Atallah, “A Block-Based Mode Selection Model for SIMD/SPMD Parallel
Environments,” Journal of Parallel and Distributed Computing, Special Issue
on Heterogeneous Processing, Vol. 21, No. 3, pp. 271-288, June 1994.
[16]
Mu-Cheng
Wang, Wayne G. Nation, James B. Armstrong, Howard Jay Siegel, Shin-Dug Kim,
Mark A. Nichols, and Michael Gherrity, “Multiple Quadratic Forms: A Case Study
in the Design of Data-Parallel Algorithms,” Journal of Parallel and Distributed Computing, Special
Issue on Data-Parallel Algorithms and Programming, Vol. 21, No. 1, pp. 124-139,
Apr. 1994.
[17]
Gene
Saghi, Howard Jay Siegel, and Jeffery L. Gray, “Predicting Performance and
Selecting Modes of Parallelism: A Case Study Using Cyclic Reduction on Three
Parallel Machines,” Journal of Parallel and Distributed Computing, Special
Issue on Performance of Supercomputers, Vol. 19, No. 3, pp. 219-233, Nov. 1993.
[18]
Wayne
G. Nation, Anthony A. Maciejewski, and Howard Jay Siegel, “A Methodology for
Exploiting Concurrency Among Independent Tasks in Partitionable Parallel
Processing Systems,” Journal of Parallel and Distributed Computing, Special
Issue on Performance of Supercomputers, Vol. 19, No. 3, pp. 271-278, Nov. 1993.
[19]
Howard
Jay Siegel, James B. Armstrong, and Daniel W. Watson, “Mapping Computer-Vision
Related Tasks onto Reconfigurable Parallel-Processing Systems,” Computer, Special
Issue on Parallel Processing for Computer Vision and Image Understanding, Vol.
25, No. 2, pp. 54-63, Feb. 1992.
[20]
Samuel
A. Fineberg, Thomas L. Casavant, and Howard Jay Siegel, “Experimental Analysis
of a Mixed-Mode Parallel Architecture Using Bitonic Sequence Sorting,” Journal of
Parallel and Distributed Computing, Vol. 11, No. 3, pp. 239-251,
Mar. 1991.
[21]
C.
Henry Chu, Edward J. Delp, Leah H. Jamieson, Howard Jay Siegel, Francis J.
Weil, and Andrew B. Whinston, “A Model for an Intelligent Operating System for
Executing Image Understanding Tasks on a Reconfigurable Parallel Architecture,”
Journal
of Parallel and Distributed Computing, Vol. 6, No. 3, pp. 598-622,
June 1989.
[22]
Leah
H. Jamieson, Phillip T. Mueller, Jr., and Howard Jay Siegel, ` `FFT Algorithms
for SIMD Parallel Processing Systems,” Journal of Parallel and Distributed Computing, Vol.
3, No. 1, pp. 48-71, Mar. 1986.
[23] James T.
Kuehn, Jeff A. Fessler, and Howard Jay Siegel, “Parallel Image Thinning and
Vectorization on PASM,” 1985
IEEE Computer Society Symposium on Computer Vision and Pattern Recognition (CVPR),
sponsor: IEEE Computer Society, pp. 368-374, San Francisco, CA, June 1985.
[24] James T.
Kuehn and Howard Jay Siegel, “Simulation Studies of a Parallel Histogramming
Algorithm for PASM,” 7th
International Conference on Pattern Recognition, cosponsors:
IAPR (International Association of Pattern Recognition) and IEEE Computer
Society, pp. 646-649, Montreal, Canada, July 1984.
[25]
David
Lee Tuomenoksa, George B. Adams, III, Howard Jay Siegel, and O. Robert
Mitchell, “A Parallel Algorithm for Contour Extraction: Advantages and
Architectural Implications,” 1983 IEEE
Computer Society Symposium on Computer Vision and Pattern Recognition (CVPR), sponsor:
IEEE Computer Society, pp. 336-374, Arlington, VA, June 1983.
[26]
Amitava
Dutta, Howard Jay Siegel, and Andrew B. Whinston, “On the Application of
Parallel Architectures to a Class of Operations Research Problems,” Revue Francaise d'Automatique,
d'Informatique, et de Recherche Operationnelle (French Review of
Automation, Information Processing, and Operations Research), Vol. 17, No. 4,
pp. 317-341, Nov. 1983.
[27]
Leah
J. Siegel, Howard Jay Siegel, and Philip H. Swain, “Performance Measures for
Evaluating Algorithms for SIMD Machines,” IEEE
Transactions on Software Engineering, Vol. SE-8, No. 4, pp. 319-331, July
1982.
[28]
Bradley
W. Smith, Howard Jay Siegel, and Philip H. Swain, “Parallel Processing Concepts
for Remote Sensing Applications,” Symposium
on Machine Processing of Remotely Sensed Data, sponsor: Purdue University
Laboratory for Applications of Remote Sensing, pp. 520-526, West Lafayette, IN,
July 1982.
[29]
Trevor
N. Mudge, Edward J. Delp, Leah J. Siegel, and Howard Jay Siegel, “Image Coding
Using the Multimicroprocessor System PASM,” 1982
IEEE Computer Society Conference on Pattern Recognition and Image Processing, sponsor:
IEEE Computer Society, pp. 200-207, Las Vegas, NV, June 1982.
[30]
Edward
J. Delp, Trevor N. Mudge, Leah J. Siegel, and Howard Jay Siegel, “Parallel
Processing for Computer Vision,” Society
of Photo-Optical Instrumentation Engineers Proceedings Vol. 336: Robot Vision, sponsor:
SPIE (Society of Photo-Optical Instrumentation Engineers), pp. 161-167,
Arlington, VA, May 1982.
[31]
Leah
J. Siegel, Howard Jay Siegel, and Arthur E. Feather, “Parallel Processing
Approaches to image Correlation,” IEEE
Transactions on Computers, Vol. C-31, No. 3, pp. 208-218, Mar. 1982.
[32]
Howard
Jay Siegel, Leah J. Siegel, Frederick Kemmerer, Philip T. Mueller, Jr., Harold
E. Smalley, Jr., and S. Diane Smith, “PASM: A Partitionable SIMD/MIMD System
for Image Processing and Pattern Recognition,” IEEE Transactions on Computers, Vol. C-30, No. 12, pp. 934-947,
Dec. 1981 (reprinted in Advanced Computer
Architecture, edited by D. P. Agrawal, IEEE Computer Society Press, New
York, NY, pp. 339-352, 1986).
[33]
Philip
H. Swain, Howard Jay Siegel, and Bradley W. Smith, “Contextual Classification
of Multispectral Remote Sensing Data Using a Multiprocessor System,” IEEE Transactions on Geoscience and Remote
Sensing, Vol. GE-18, No. 2, pp. 197-203, Apr. 1980.