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LCPC 1991: Santa Clara, California, USA

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Utpal Banerjee, David Gelernter, Alexandru Nicolau, David A. Padua:
Languages and Compilers for Parallel Computing, Fourth International Workshop, Santa Clara, California, USA, August 7-9, 1991, Proceedings. Lecture Notes in Computer Science 589, Springer 1992, ISBN 3-540-55422-X

I. Explicitly Parallel Languages

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Gul Agha, Christopher R. Houck, Rajendra Panwar:
Distributed Execution of Actor Programs. 1-17
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Seema Hiranandani, Ken Kennedy, Charles Koelbel, Ulrich Kremer, Chau-Wen Tseng:
An Overview of the Fortran D Programming System. 18-34
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John Werth, James C. Browne, S. Sobek, Taejae Lee, Peter W. Newton, Ravi Jain:
The Interaction of the Formal and the Practical in Parallel Programming Environment Development: CODE. 35-49
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Daniel J. Scales, Martin C. Rinard, Monica S. Lam, Jennifer-Ann M. Anderson:
Hierarchical Concurrency in Jade. 50-64

II. Experimentation with Parallel Programming

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Rudolf Eigenmann, Jay P. Hoeflinger, Zhiyuan Li, David A. Padua:
Experience in the Automatic Parallelization of Four Perfect-Benchmark Programs. 65-83
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Jinling Lee, Calvin Lin, Lawrence Snyder:
Programming SIMPLE for Parallel Portability. 84-98

III. Internal Representation

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Zena M. Ariola, Arvind:
Compilation of Id. 99-121
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Richard Johnson, Wei Li, Keshav Pingali:
An Executable Representation of Distance and Direction. 122-136
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Steven W. K. Tjiang, Michael E. Wolf, Monica S. Lam, K. Pieper, John L. Hennessy:
Integrating Scalar Optimization and Parallelization. 137-151
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Milind Girkar, Constantine D. Polychronopoulos:
Optimization of Data/Control Conditions in Task Graphs. 152-168

IV. Loop Parallelism

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David Callahan:
Recognizing and Parallelizing Bounded Recurrences. 169-185
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Chua-Huang Huang, P. Sadayappan:
Communication-Free Hyperplane Partitioning of Nested Loops. 186-200
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Lee-Chung Lu, Marina C. Chen:
Parallelizing Loops with Indirect Array References of Pointers. 201-217

V. Fine Grain Parallelism

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Alexandru Nicolau, Roni Potasman, Haigeng Wang:
Register Allocation, Renaming and Their Impact on Fine-Grain Parallelism. 218-235
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B. Ramakrishna Rau:
Data Flow and Dependence Analysis for Instruction Level Parallelism. 236-250

VI. Analysis Techniques

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Apostolos D. Kallis, David Klappholz:
Extending Conventional Flow Analysis to Deal with Array References. 251-265

VII. Compilers & Scheduling

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Mario Mango Furnari, Constantine D. Polychronopoulos:
Run-Time Management of Lisp Parallelism and the Hierarchical Task Graph Program Representation. 266-282
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Hironori Kasahara, Hiroki Honda, A. Mogi, A. Ogura, K. Fujiwara, Seinosuke Narita:
A Multi-Grain Parallelizing Compilation Scheme for OSCAR (Optimally Scheduled Advanced Multiprocessor). 283-297
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Jesús Labarta, Eduard Ayguadé, Jordi Torres, Mateo Valero, José M. Llabería:
Balanced Loop Partitioning Using GTS. 298-312

VIII. Cache Memory Issues

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Jesse Zhixi Fang, Mi Lu:
An Iteration Partition Approach for Cache or Local Memory Thrashing on Parallel Processing. 313-327
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Jeanne Ferrante, Vivek Sarkar, W. Thrash:
On Estimating and Enhancing Cache Effectiveness. 328-343
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Y.-L. Ju, Henry G. Dietz:
Reduction of Cache Coherence Overhead by Compiler Data Layout and Loop Transformation. 344-358

IX. Compilers for Dataflow Machines

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Guang R. Gao, Qi Ning:
Loop Storage Optimization for Dataflow Machines. 359-373
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Roni Hardon, Shlomit S. Pinter:
Optimal Partitioning of Programs for Data Flow Machines. 374-388

X. Analysis of Explicitly Parallel Programs

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Nicholas Carriero, David Gelernter:
A Foundation for Advanced Compile-time Analysis of Linda Programs. 389-404
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Harini Srinivasan, Michael Wolfe:
Analyzing Programs with Explicit Parallelism. 405-419

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