Applications

Image, Signal, and Information Processing

• 
  Mahn-ling Woo: Parallel Discrete Wavelet Transform on the Paragon MIMD Machine. 3-8
• 
  Andreas Uhl: Vector and Parallel Wavelet Transforms for the Analysis of Time-Varying Signals. 9-14
• 
  David A. Carlson, Craig K. Frock, Thomas A. Pauls, Daniel V. Pryor: Cross Ambiguity Functions on the MasPar MP-2. 15-20
• 
  Avijit Purkayastha, Jaime Seguel: Efficient Algorithms for Some Specific FFTs on a Massively Parallel Computer. 21-26
• 
  Richard B. Pelz: A Parallel, Compact FFT for Real Symmetric Sequences. 27-32
• 
  Peter A. Yoon, Jesse L. Barlow: Modifying the Singular Value Decompositions on the Connection Machine. 33-38
• 
  Michael W. Berry, Susan T. Dumais, Gavin W. O'Brien: The Computationel Complexity of Alternative Updating Approaches for an SVD-Encoded Indexing Scheme. 39-44
• 
  S. K. Patch: Opportunities for Parallel Solutions in Diffuse Tomography. 45-49
• 
  H. T. Nguyen, R. Srinivasan: Distributed Maximum-Intensity Projection (Partitioned-MIP) Algorithm for Visualizing Medical Data. 50-55
• 
  Stefano Foresti, Larry Zeng: Parallel Methods for the Reconstruction of SPECT Images. 56-61
• 
  Christian Trefftz, Philip K. McKinley, Tien-Yien Li, Zhonggang Zeng: A Parallel Algorithm for the Singular Value Problem in Bidiagonal Matrices. 62-67
• 
  Blaise Chamaret, Hocine Cherifi, Stéphane Ubéda: Parallel Filter Estimation Maximisation Algorithm for Segmentation on a Lan of Workstation. 68-69
• 
  Hong Q. Ding, Robert D. Ferraro, Donald B. Gennery: A Portable 3D FFT Package for Distributed-Memory Parallel Architectures. 70-71

Optimization and Control

• 
  Richard H. Byrd, Elizabeth Eskow, André van der Hoek, Robert B. Schnabel, Klaas P. B. Oldenkamp: A Parallel Global Optimization Method for Solving Molecular Cluster and Polymer Conformation Problems. 72-77
• 
  Liam Murphy, Javier Contreras, Felix F. Wu: A Decomposition-Coordination Approach for Large-Scale Optimization. 78-83
• 
  Yuzhen Ge, Layne T. Watson, Emmanuel G. Collins Jr.: Distributed Homotopy Algorithms for H² / H^infinity Controller Synthesis. 84-89
• 
  Jean-David Benamou: A Massively Parallel Algorithm for the Optimal Control of Systems Governed by Elliptic P.D.E.'s. 90-95
• 
  Susan Burgee, Anthony A. Giunta, Robert Narducci, Layne T. Watson, Bernard Grossman, Raphael T. Haftka: A Coarse Grained Variable-Complexity Approach to MDO for HSCT Design. 96-101
• 
  Raino A. E. Mäkinen, Jari Toivanen: Parallel Solution of Optimal Shape Design Problem Governed by Helmholtz/Potential Flow Equations. 102-103
• 
  Rosemary A. Renaut, Hans D. Mittelmann: Parallel Multisplittings for Optimisation. 104-105
• 
  Jie Hu, Tadao Nakamura, Lei Li: The Convergence of Asynchronous Monotone Newton Iterations on Distributed Computer. 106-107
• 
  Jianjun Xu, Houghui Wan: A Class of Asynchronous Block Methods for Nonlinear Systems of Equations. 108-109
• 
  George Karypis, Anshul Gupta, Vipin Kumar: A Highly Parallel Interior Point Algorithm. 110-112

Computational Physics

Fluid Dynamics

• 
  John Brown, Per Christian Hansen, P. Kaae, C. Keable, Wojciech Owczarz, Jerzy Wasniewski, Zahari Zlatev: Comparison of Parallel Computers Using Air Pollution Models. 113-118
• 
  John B. Drake, Ian T. Foster, John Michalakes, Patrick H. Worley: Parallel Algorithms for Semi-Lagrangian Transport in Global Atmospheric Circulation Models. 119-124
• 
  Steven W. Hammond, Richard D. Loft, John M. Dennis, Richard K. Sato: A Data Parallel Implementation of the NCAR Community Climate Model (CCM2). 125-130
• 
  S. F. Ashby, Robert D. Falgout, Steven G. Smith, A. F. B. Tompson: The Parallel Performance of a Groundwater Flow Code on the Cray T3D. 131-136
• 
  Laurent Anné, Philippe Klein: Aliasing Techniques: Efficient Boundary Condition Processing for 3D Acoustic Wave Propagation on the CM-5. 137-142
• 
  A. K. Stagg, D. D. Cline, Graham F. Carey: Implementing a Parabolized Navier-Stokes Flow Solver on the Cray T3D. 143-148
• 
  Rajat P. Garg, Joel H. Ferziger, Stephen G. Monismith: Implementation of Spectral-Finite Difference Method for Simulation of Stratified Turbulent Flows on Distributed Memory Multiprocessors. 149-154
• 
  Danesh K. Tafti: High-Order Finite Difference Formulations for the Incompressible Navier-Stokes Equations on the CM-5. 155-160
• 
  Mark L. Sawley, Jon K. Tegnér, Peter V. Corbett: Parallel Multi-Block Methods for Computational Fluid Dynamics. 161-166
• 
  John Z. Lou: A Parallel Incompressible Navier-Stokes Solver with Multigrid Iterations. 167-168
• 
  Patrick G. Mullins, Patrick D. Krolak: A Discrete Simulation of 2-D Fluid Flow on TERASYS. 169-170
• 
  Rupert Ford, David F. Snelling, A. Dickinson: Dynamic Memory Control in a Parallel Implementation of an Operational Weather Forecast Model. 171-172
• 
  Jean-Marie Beckers, François Schmitz: The Junction: A Tool to Parallelise Ocean Models by a Domain Decomposition, to Connect Different Kind of Models and to Impose Open Sea Boundary Conditions. 173-174
• 
  Edward J. Barragy, Graham F. Carey: Parallel Element-by-Element Performance for the Navier-Stokes Computations. 175-176
• 
  Rémi Choquet: A Class of Preconditioners for the Navier-Stokes Equations. 177-178
• 
  Daniel C. Chan: A Parallel Least-Squares Finite Element Method for Subsonic and Supersonic Flows. 179-180

Cellular Automata

• 
  Norman Margolus: Ultimate Computers. 181-186
• 
  Susan N. Coppersmith, P. B. Littlewood, P. Sibani: Cellular Automata and Complex Dynamics of Driven Elastic Media. 187-192
• 
  Z. George Mou, Sevan G. Ficici: A Scalable Divide-and-Conquer Parallel Algorithm for Finite State Automata and Its Applications. 193-194
• 
  Tommaso Toffoli: Fine-Grained Models and Massively-Parallel Architectures: The Case for Programmable Matter. 195-200

Electrical, Structural, and Materials Engineering

• 
  Venkatesh P. Gopinath, Timothy A. Grotjohn, Yung-Kang Chu, Diane T. Rover: Three-Dimensional Simulations of Plasmas Using MPPs. 201-206
• 
  Charles D. Norton, Boleslaw K. Szymanski, Viktor K. Decyk: Parallel Object Oriented Implementation of a 2D Bounded Electrostatic Plasma PIC Simulation. 207-212
• 
  Noël M. Nachtigal, William A. Shelton, G. M. Stocks, D. M. C. Nicholson, Yang Wang: Integrating the QMR Method with First Principles Material Science Application Code. 213-218
• 
  Eric J. Bylaska, Scott R. Kohn, Scott B. Baden, Alan Edelman, Ryoichi Kawai, M. Elizabeth G. Ong, John H. Weare: Scalable Parallel Numerical Methods and Software Tools for Material Design. 219-224
• 
  Kimmo Forsman, William Gropp, Lauri Kettunen, David Levine: Computational Electromagnetics and Parallel Dense Matrix Computations. 225-230
• 
  Gang Cheng, Kenneth A. Hawick, Gerald Mortensen, Geoffrey Fox: Distributed Computational Electromagnetics Systems. 231-236
• 
  Chwan-Hwa John Wu, Fongray Frank Young, Nian-Feng Tzeng: Shorten Turnaround Time for Two-Dimensional Plasma Processing Simulations via Vectorization and Parallelization Techniques. 237-238
• 
  Bruce P. Herndon, Narayan R. Aluru, Arthur Raefsky, Ronald J. G. Goossens, Kincho H. Law, Robert W. Dutton: A Methodology for Parallelizing PDE Solvers: Application to Semiconductor Device Simulation. 239-240
• 
  Hsin-Chu Chen: Combining SAS with FSM for Plate-bending Problems. 241-242
• 
  R. Oldfield, B. D. Semeraro, J. Van Dyke: Parallel Acoustic Wave Propagation and Generation of a Seismic Dataset. 243-244

Mathematical Applications

• 
  David H. Bailey, Jonathan M. Borwein, Roland Girgensohn: Finding New Mathematical Identities with Supercomputers. 245-248
• 
  D. V. Chudnovsky, G. V. Chudnovsky: Parallel Computations and Complex Analytic Approximations: From Diophantine Approximations to Quantum Mechanics. 249-254
• 
  Oscar Moreno, Pei Pei, John G. Ramirez: A Parallel Algorithm for the Enumeration of Costas Sequences. 255-260
• 
  Malgorzata A. Napierala, Ian Gladwell: Reducing Ranking Effects in Parallel Adaptive Quadrature. 261-266
• 
  Frederick C. Harris Jr.: Parallel Computation of Steiner Minimal Trees. 267-272
• 
  Ricolindo Cariño, Ian Robinson, Elise de Doncker: Adaptive Integration of Singular Functions Over a Triangularized Region on a Distributed System. 273-278
• 
  Steven A. Cuccaro, Michael Mascagni, Daniel V. Pryor: Techniques for Testing the Quality of Parallel Pseudorandom Number Generators. 279-284
• 
  Jiu Ding, Yimin Liu: Parallel Computation of Invariant Measures. 285-286
• 
  J. L. Rawson, Rajendra S. Katti: The Iterative Solution of Lyapunov Equations. 287-288
• 
  Zahira S. Khan, Eugene Kwatny: Performance of a Distributed Pipelined Multijoin Algorithm in a Distributed Heterogeneous Supercomputing Environment. 289-290
• 
  Przemyslaw Stpiczynski, Marcin Paprzycki: Parallel Algorithms for Finding Trigonometric Sums. 291-292

Algorithms

N-Body Simulation

• 
  John A. Board Jr., Ziyad S. Hakura, William D. Elliott, William T. Rankin: Scalable Variants of Multipole-based Algorithms for Molecular Dynamics Applications. 295-300
• 
  G. S. Winckelmans, John K. Salmon, Michael S. Warren, A. Leonard: The Fast Solution of Three-Dimensional Fluid Dynamical N-Body Problems Using Parallel Tree Codes: Vortex Element Method and Boundary Element Method. 301-306
• 
  George Lake, Neal Katz, Thomas Quinn, Joachim Stadel: Cosmological N-Body Simulation. 307-312
• 
  Chris Holt, Jaswinder Pal Singh: Hierarchical N-Body Methods on Shared Address Space Multiprocessors. 313-318
• 
  Michael S. Warren, John K. Salmon: A Parallel, Portable and Versatile Treecode. 319-324
• 
  Mark A. Stalzer: Parallelizing the Fast Multipole Method for the Helmholtz Equation. 325-330
• 
  E. Christopher Lewis, Calvin Lin, Lawrence Snyder, George Turkiyyah: A Portable Parallel N-Body Solver. 331-336
• 
  Gavin J. Pringle: Comparison of an O(N) and an O(N log N) N-Body Solver. 337-342
• 
  Junichiro Makino, Makoto Taiji, Toshikazu Ebisuzaki, Daiichiro Sugimoto: GRAPE-4: A Special-Purpose Computer for Gravitational N-Body Problems. 343-348
• 
  Silvia M. Figueira, Scott B. Baden: Performance Analysis of Parallel Strategies for Localized N-Body Solvers. 349-354
• 
  Ananth Grama, Vipin Kumar, Ahmed H. Sameh: N-Body Simulations Using Message Passsing Parallel Computers. 355-360

Partial Differential Equations

• 
  Thomas Kioustelidis, Heinz Herold: BPX on Convex's MPP: An Astrophysical Application. 361-366
• 
  Linda Stals: Adaptive Multigrid in Parallel. 367-372
• 
  Josep-Lluis Larriba-Pey, Michael Mascagni, Angel Jorba, Juan J. Navarro: An Analysis of the Parallel Computation of Arbitrarily Branched Cable Neuron Models. 373-378
• 
  Amir Averbuch, Moshe Israeli, Lev Vozovoi: Parallel Implementation of Non-Linear Evolution Problems Using Parabolic Domain Decomposition. 379-384
• 
  Wai-Shing Luk, Omar Wing: The Use of Inexact ODE Solver in Waveform Relaxation Methods on a Massively Parallel Computer. 385-390
• 
  José M. Cela, Jesús Labarta, Andrés Pérez, Juan J. Navarro: Performance on Distributed Memory Multicomputers of Domain Decomposition Solvers. 391-392
• 
  M. B. Davis, Graham F. Carey: Parallel Element-by-Element Spectral Multilevel Techniques for Finite Elements. 393-394
• 
  Giovanna Gazzaniga, Giovanni Sacchi: Parallel Implementation of Domain Decomposition Methods for the Solution of Elliptic Boundary-Value Problems. 395-396
• 
  Jason C. H. Wang, Han Lung, Yasunori Katsumata, Takahiro Ishigai: Using Domain Decomposition in the Multigrid NAS Parallel Benchmark on the Fujitsu VPP500. 397-398
• 
  Coert Olmsted, David Covey, Antonius Otto: Boundary Conditions and Domain Decomposition for a Three Dimensional Finite Difference Time Domain Code on a Cray T3D. 399-400
• 
  John C. Strikwerda: Convergence Results for Parallel Linear Computations. 401-402
• 
  Seongjai Kim: Parallel Computing Via Multidomain Techniques for 3-Dimensional Elliptic Problems. 403-404
• 
  Mauricio Kischinhevsky: A Direct Domain Decomposition Procedure for Elliptic Problems. 405-406

Sparse Linear Systems

• 
  Edward Rothberg, Robert Schreiber: Efficient Parallel Sparse Cholesky Factorization. 407-412
• 
  Tariq Rashid, Timothy A. Davis: An Approach for Parallelizing any General Unsymmetric Sparse Matrix Algorithm. 413-417
• 
  Chunguang Sun: Parallel Multifrontal Solution of Sparse Linear Least Squares Problems on Distributed-Memory Multiprocessors. 418-423
• 
  Suraj C. Kothari, Simanta Mitra: A Scalable 2-D Parallel Sparse Solver. 424-429
• 
  Ramesh C. Agarwal, Fred G. Gustavson, Mahesh V. Joshi, Mohammad Zubair: A Scalable Parallel Block Algorithm for Band Cholesky Factorization. 430-435
• 
  Aleksandar I. Zecevic, Dragoslav D. Siljak: A Balanced Decomposition Algorithm for Parallel Solutions of Very Large Sparse Systems. 436-441
• 
  Anshul Gupta, Vipin Kumar: Optimally Scalable Parallel Sparse Cholesky Factorization. 442-447
• 
  Josep-Lluis Larriba-Pey, Angel Jorba, Juan J. Navarro: A Generalized Criterion for the Early Termination of R-Cyclic Reduction and Divide and Conquer for Recurrences. 448-453
• 
  Achim Basermann: Parallel Sparse Matrix Computations in Iterative Solvers on Distributed Memory Machines. 454-459
• 
  Mario Arioli, Anthony Drummond, Iain S. Duff, Daniel Ruiz: A Parallel Scheduler for Block Iterative Solvers in Heterogeneous Computing Environments. 460-465
• 
  Marcus J. Grote, Thomas Huckle: Effective Parallel Preconditioning with Sparse Approximate Inverses. 466-471
• 
  Elise de Doncker, Ajay K. Gupta: Coarse Grain Preconditioned Conjugate Gradient Solver for Large Sparse Systems. 472-477
• 
  E. Piault, F. Willien, François-Xavier Roux: Parallel Solvers for Reservoir Simulation on MIMD Computers. 478-483
• 
  Sivan Toledo: Preconditioning with a Decoupled Rowwise Ordering on the CM-5. 484-489
• 
  Pedro C. Diniz, Tao Yang: Efficient Parallelization of Relaxation Iterative Methods for Solving Banded Linear Systems on Multiprocessors. 490-491
• 
  Hong Q. Ding, Robert D. Ferraro: A General Purpose Sparse Matrix Parallel Solvers Package. 492-493
• 
  Tong J. Lee, Vassilis L. Syrmos: High Performance Numerical Solutions for Sparse Generalized Systems. 494-495
• 
  Arno Liegmann, Wolfgang Fichtner: Solving Large Sparse Linear Systems in a Distributed Computing Environment. 496-497
• 
  Weizhong Dai: A Parallel Algorithm for Direct Solution of Large Scale Five-Diagonal Linear Systems. 498-499
• 
  T. Basaruddin: Implementation of Parallel ADI and Hopscotch Methods on KSR1. 500-501
• 
  Emilio Fuentes, Paul J. Turinsky: Core-Wide Parallel Implementation of the IC and CCCP Methods. 502-503
• 
  Pierre Charrier, L. Facq, Jean Roman: Block Data Distribution for Parallel Nested Dissection. 504-505
• 
  Peter Arbenz, Walter Gander: Direct Methods for Banded Linear Systems on Massively Parallel Processor Computers. 506-507
• 
  Jarek Nieplocha, Tsun-Zee Mai: Performance Improvement of Asynchronous Iterations by Non-Uniform Load Distribution. 508-509
• 
  David L. Littlefield: Multi-block LU Decomposition Algorithms for Dense and Banded Matrices. 510-511
• 
  Da-Wei Chang: A New Multisplitting Asynchronous Iterative Method for Linear System. 512-513
• 
  Z. George Mou: A Divide-and-Conquer Parallel Algorithm for Banded Linear Systems. 514-515

Eigenvalues

• 
  Christian H. Bischof, Steven Huss-Lederman, Xiaobai Sun, Anna Tsao, Thomas Turnbull: Parallel Studies of the Invariant Subspace Decomposition Approach for Banded Symmetric Matrices. 516-521
• 
  Christian H. Bischof, Xiaobai Sun: On the Design of a Tridiagonalization Routine for Banded Matrices. 522-527
• 
  James Demmel, Ken Stanley: The Performance of Finding Eigenvalues and Eigenvaectors of Dense Symmetric Matrices on Distributed Memory Computers. 528-533
• 
  Chuck Baldwin, Roland W. Freund, Efstratios Gallopoulos: A Parallel Iterative Method for Exponential Propagation. 534-539
• 
  Liwei Wu, Eleanor Chu: New Distributed-Memory Parallel Algorithms for Solving Nonsymmetric Eigenvalue Problems. 540-545
• 
  Greg Henry: A Parallel Unsymmetric Inverse Iteration Solver. 546-551
• 
  Scott R. Kohn, Scott B. Baden: The Parallelization of an Adaptive Multigrid Eigenvalue Solver with LPARX. 552-557
• 
  Kuiyuan Li, Xiaozhuo Yang, Zhonggang Zeng: A Parallel Algorithm for Banded Eigenvalue Problems. 558-563
• 
  Beresford N. Parlett, K. Vince Fernando: Singular Vectors via Differential qd. 564-568
• 
  Richard J. Enbody, T. Y. Li, Xiaozhuo Yang: A Parallel Algorithm for the Nonsymmetric Eigenvalue Problems. 569-570
• 
  Ilan Bar-On, Victor Ryaboy: A New Fast Algorithm for the Diagonalization of Complex Symmetric Matrices, with Applications to Quantum Dynamics. 571-572

Systems

Mesh Partitioning and Load Balancing

• 
  Bongki Moon, Gopal Patnaik, Robert Bennett, David Fyfe, Alan Sussman, Craig Douglas, Joel H. Saltz, K. Kailasanath: Runtime Support Dynamic Load Balancing Strategies for Structured Adaptive Applications. 575-580
• 
  Tao Yang, Pedro C. Diniz, Apostolos Gerasoulis, Vivek Sarkar: Scheduling Iterative Task Computation on Message-Passing Architectures. 581-586
• 
  William F. Mitchell: Refinement Tree Based Partitioning for Adaptive Grids. 587-592
• 
  Karen D. Devine, Joseph E. Flaherty: Dynamic Load Balancing for Parallel Finite Element Methods with Adaptive h-and p-Refinement. 595-598
• 
  Eddy Pramono, Horst D. Simon, Andrew Sohn: Dynamic Load Balancing for Finite Element Calculations on Parallel Computers. 599-604
• 
  Yuefan Deng, R. Alan McCoy, Robert B. Marr, Ronald F. Peierls: An Unconventional Method for Load Balancing. 605-610
• 
  Denis Vanderstraeten, R. Keunings, Charbel Farhat: Beyond Conventional Mesh Partitioning Algorithms and the Minimum Edge Cut Criterion: Impact on Realistic Realistic Applications. 611-614
• 
  Pedro C. Diniz, Steve Plimpton, Bruce Hendrickson, Robert W. Leland: Parallel Algorithms for Dynamically Partitioning Unstructured Grids. 615-620
• 
  Rafael Van Driessche, Dirk Roose: A Grapg Contraction Algorithm for the Fast Calculation of the Fiedler Vector of a Graph. 621-626
• 
  Stephen T. Barnard, Horst D. Simon: A Parallel Implementation of Multilevel Recursive Spectral Besection for Application to Adaptive Unstructured Meshes. 627-632
• 
  Hong Q. Ding, Robert D. Ferraro: Slices: A Scalable Partitioner for Finite Element Meshes. 633-634
• 
  Alexander Y. Tetelbaum: Estimation of the Graph Partitioning for a Hierarchical System. 635-636
• 
  Ali Dasdan, Cevdet Aykanat: Efficient Multiple-Way Graph Partitioning Algorithms. 637-638
• 
  Chin-Ling Chen, Ruay Shiung Chang: A Distributed Load Balancing Algorithm Based on Spanning Trees. 639-640
• 
  Emile Haddad: Optimal Scheduling and Balancing of Multiprogrammed Loads over Heterogeneous Processors. 641-642
• 
  Darryl Allen, Evi I. Dube, Garry H. Rodrigue: Weighting the Recursive Spectral Besection Algorithm for Unstructured Grids. 643-644
• 
  Richard J. Enbody, Richard Purdy, C. R. Severance: Dynamic Load Balancing. 645-646

Languages and Compilers

• 
  David A. Padua, Rudolf Eigenmann, Jay Hoeflinger: Automatic Program Restructuring for Parallel Computing and the Polaris Fortran Translator. 647-649
• 
  Mary W. Hall, Brian R. Murphy, Saman P. Amarasinghe: Interprocedural Parallelization Analysis: A Case Study. 650-655
• 
  Siddhartha Chatterjee: Locality, Communication, and Code Generation for Array-Parallel Languages. 656-661
• 
  Saman P. Amarasinghe, Jennifer-Ann M. Anderson, Monica S. Lam, Chau-Wen Tseng: An Overview of the SUIF Compiler for Scalable Parallel Machines. 662-667
• 
  J. Ramanujam, Amit Narayan: Integrating Data Distribution and Loop Transformations. 668-673
• 
  Vijay K. Naik, Mark S. Squillante: Analysis of Cache Effects and Resource Scheduling in Distributed Parallel Processing Systems. 674-679
• 
  Larry Carter, Jeanne Ferrante, Susan Flynn Hummel: Efficient Parallelism via Hierarchical Tiling. 680-685
• 
  Steve Carr, Richard B. Lehoucq: A Compiler-Blockable Algorithm for QR Decomposition. 686-691
• 
  Guohua Jin, Xiaomei Li, Fujie Chen: Rearranging the Iteration Space to Eliminate the True Sharing Thrashing in Parallel Processinng Systems. 692-697
• 
  David Middleton, Piyush Mehrotra, John Van Rosendale: Expressing Direct Simulation Monte Carlo Methods in High Performance. 698-703
• 
  Zeki Bozkus, Larry Meadows, Steven Nakamoto, Vincent Schuster, Mark Young: Compiling High Performance Fortran. 704-709
• 
  Matthew Haines, Brian Hess, Piyush Mehrotra: Exploiting Parallelism in Multidisciplinary Applications Using Opus. 710-715
• 
  Igor A. Nesterov, Igor S. Suslov: Towards Programming of Numerical Problems Within the System Providing Automatic Parallelizing. 716-717
• 
  Guohua Jin, Xiaomei Li, Fuije Chen: Determining the True and False Sharing Thrashings in Parallel Processing Systems. 718-719
• 
  George K. Thiruvathukal, William T. O'Connell, Thomas W. Christopher: Scalable Parallel Software Architecture: A Layered Architecture to Compose Scalable Parallel Software. 720-721
• 
  Z. George Mou: CAL: A Cellular Automata Language. 722-727

Libraries and Runtime Systems

• 
  Christian H. Bischof, Steven Huss-Lederman, Xiaobai Sun, Anna Tsao, Thomas Turnbull: A Case Study of MPI: Portable and Efficient Libraries. 728-733
• 
  Anthony Skjellum, Purushotham Bangalore: Driving Issues in Scalable Libraries: Poly-Algorithms, Data Distribution Independence, Redistribution, Local Storage Schemes. 734-737
• 
  Laxmikant V. Kalé, Attila Gürsoy: Modularity, Reuse and Efficiency with Message-Driven Libraries. 738-743
• 
  Silvia A. Crivelli, Elizabeth R. Jessup: The PMESC Parallel Programming Paradigm and Library. 744-749
• 
  Eduardo F. D'Azevedo, Charles H. Romine: DOLIB: Distributed Object Library. 750-755
• 
  Jenq Kuen Lee, Ing-Kuen Tsaur, San-Yih Hwang: Language and Environment Support for Parallel Array Object I/O on Distributed Environments. 756-761
• 
  Stephen J. Fink, Scott B. Baden: Run-time Data Distribution for Block-Structured Applications on Distributed Memory Computers. 762-767
• 
  Joseph W. Manke, James C. Patterson: Message Passing Performance of Intel Paragon, IBM SP1 and Cray T3D Using Pvm. 768-769
• 
  J. J. Heijstek, F. N. C. Slothouber, V. V. Goldman: Automatic Code Generation for Parallel Finite Element Solvers. 770-771
• 
  Mark E. Cavender, Xiaodong Zhang: Asynchronous PVM Network Computing. 772-773
• 
  Ai Li, Gudjon Hermannsson, Larry D. Wittie: An Analytical Model for Performance Evaluation of Eagersharing Distributed Memory Systems. 774-775
• 
  Emile Haddad, Aida Dharmakadar: Parallel Task Scheduling for Minimizing Processor Idle Time. 776-777
• 
  Volker Strumpen, Peter Arbenz: Improving Scalability by Communication Latency Hiding. 778-779
• 
  Amr Zaky, Greg Negelspach: Granularity Management for a Large-Grain Data Flow Multiprocessor. 780-781
• 
  Bracy H. Elton, Kenichi Miura: A Vector-Parallel Implementation and Statistical Analysis of the Bucket Sort on a Vector-Parallel Distributed Memory System: Lessons Learned in the Integer Sort NAS Parallel Benchmark. 782-783

Visualization and Performance

• 
  David A. Lane: Parallelizing a Practicle Tracer for Flow Visualization. 784-789
• 
  Charles D. Hansen, Michael Krogh, William White: Massively Parallel Visualization: Parallel Rendering. 790-795
• 
  Richard Frost, Nicholas Priebe, Patrick Kelly, Collin McCurdy: High-level Graphic and Visual Environments for the Intel Paragon. 796-801
• 
  Brian Cabral, Leith Casey Leedom: Highly Parallel Vector Visualization Using Line Integral Convolution. 802-807
• 
  Shyh-Kuang Ueng, K. Sikorski: Parallel Visualization of 3D Finite Element Analysis Data. 808-813
• 
  Bowen Alpern, Larry Carter: Message Compression for High Performance. 814-819
• 
  Ion Stoica, Florin Sultan, David Keyes: Modeling Communication in Cluster Computing. 820-825
• 
  Kattamuri Ekanadham, Vijay K. Naik, Mark S. Squillante: PET: A Parallel Performance Estimation Tool. 826-831
• 
  Pankaj Mehra, Brian Van Voorst, Jerry C. Yan: Automated Instrumentation, Monitoring and Visualization of PVM Programs. 832-837
• 
  Alan H. Karp, Ming C. Hao: Simulated Console Lights for Parallel Programs. 838-843
• 
  Abdul Waheed, Vincent F. Melfi, Diane T. Rover: Performance Analysis of Instrumentation System Management Policies. 844-845
• 
  Emile Haddad: Speed of N-ary Tree Networks. 846-847
• 
  Mark A. Fienup, Suresh C. Kothari: CMP: A Memory-Constrained Scalability Metric. 848-849
• 
  Bowen Alpern, Larry Carter: Is Scalability Relevant? A Look at Sparse Matrix-Vector Product. 850-851
• 
  Greg Astfalk: MPP and Loop-based Parallelism: A Contradiction? 852-853

Is Scalable Parallel Computing a Myth? Panel

• 
  Bowen Alpern, Larry Carter: The Myth of Scalable High Performance. 857-859
• 
  Greg Astfalk: Position Paper. 860-862
• 
  David H. Bailey: Position Paper. 863-864
• 
  Jack Dongarra: Position Paper. 865-867
• 
  John L. Hennessy: Position Paper. 868-869
• 
  Vipin Kumar: Position Paper. 870-871

last updated on Fri May 24 05:22:45 2013 by the dblp team
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