List of Parallel Algorithm Related Papers

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.