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| Explicitly Parallel Languages | |
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| Distributed Execution of Actor Programs | |
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| An Overview of the Fortran D Programming System | |
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| The Interaction of the Formal and the Practical in Parellel Programming Environment Development: CODE | |
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| Hierarchical Concurrency in Jade | |
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| Experimentation With Parallel Programming | |
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| Experience in the Automatic Parallelization of Four Perfect-Benchmark Programs | |
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| Programming SIMPLE for Parallel Portability | |
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| Internal Representation | |
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| Compilation of Id | |
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| An Executable Representation of Distance and Direction | |
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| Integrating Scalar Optimization and Parallelization | |
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| Optimization of Data/Control Condition in Task Graphs | |
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| Loop Parallelism | |
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| Recognizing and Parallelizing Bounded Recurrences | |
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| Communication-Free Hyperplane Partitioning of Nested Loops | |
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| Parallelizing Loops with Indirect Array References or Pointers | |
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| Fine Grain Parallelism | |
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| Register Allocation, Renaming and Their Impact on Fine-Grain Parallelism | |
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| Data Flow and Dependence Analysis for Instruction Level Parallelism | |
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| Analysis Techniques | |
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| Extending Conventional Flow Analysis to Deal with Array References | |
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| Compilers and Scheduling | |
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| Run-Time Management of Lisp Parallism and the Hiearchical Task Graph Program Representation | |
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| A Multi-Grain Parallelizing Compilation Scheme for OSCAR (Optimally Scheduled Advanced Multiprocessor) | |
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| Balanced Loop Partitioning Using GTS | |
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| Cache Memory Issues | |
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| An Iteration Partition Approach for Cache or Local Memory Thrashing on Parallel Processing | |
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| On Estimating and Enhancing Cache Effectiveness | |
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| Reduction of Cache Coherence Overhead by Compiler Data Layout and Loop Transformation | |
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| Compilers for Dataflow Machines | |
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| Loop Storage Optimization for Dataflow Machines | |
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| Optimal Partitioning of Programs for Data Flow Machines | |
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| Analysis of Explicitly Parallel Programs | |
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| A Foundation for Advanced Compile-time Analysis of Linda Programs | |
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| Analyzing Programs with Explicit Parallelism | |
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