Languages and Compilers for Parallel Computing

Distributed execution of actor programs.- An overview of the Fortran D programming system.- The interaction of the formal and the practical in parallel programming environment development: CODE.- Hierarchical concurrency in Jade.- Experience in the automatic parallelization of four Perfect-Benchmark programs.- Programming SIMPLE for parallel portability.- Compilation of Id.- An executable representation of distance and direction.- Integrating scalar optimization and parallelization.- Optimization of data/control conditions in task graphs.- Recognizing and parallelizing bounded recurrences.- Communication-free hyperplane partitioning of nested loops.- Parallelizing loops with indirect array references or pointers.- Register allocation, renaming and their impact on fine-grain parallelism.- Data flow and dependence analysis for instruction level parallelism.- Extending conventional flow analysis to deal with array references.- Run-time management of Lisp parallelism and the Hierarchical Task Graph program representation.- A multi-grain parallelizing compilation scheme for OSCAR (optimally scheduled advanced multiprocessor).- Balanced loop partitioning using GTS.- An iteration partition approach for cache or local memory thrashing on parallel processing.- On estimating and enhancing cache effectiveness.- Reduction of cache coherence overhead by compiler data layout and loop transformation.- Loop storage optimization for dataflow machines.- Optimal partitioning of programs for data flow machines.- A foundation for advanced compile-time analysis of linda programs.- Analyzing programs with explicit parallelism.