Languages and Compilers for Parallel Computing

Java.- From Flop to MegaFlops: Java for Technical Computing.- Considerations in HPJava Language Design and Implementation.- Locality.- A Loop Transformation Algorithm Based on Explicit Data Layout Representation for Optimizing Locality.- An Integrated Framework for Compiler-Directed Cache Coherence and Data Prefetching.- I/O Granularity Transformations.- Network Computing.- Stampede A Programming System for Emerging Scalable Interactive Multimedia Applications.- Network-Aware Parallel Computing with Remos.- Object-Oriented Implementation of Data-Parallelism on Global Networks.- Fortran.- Optimized Execution of Fortran 90 Array Language on Symmetric Shared-Memory Multiprocessors.- Fortran RED - A Retargetable Environment for Automatic Data Layout.- Automatic Parallelization of C by Means of Language Transcription.- Irregular Applications.- Improving Compiler and Run-Time Support for Irregular Reductions Using Local Writes.- Beyond Arrays - A Container-Centric Approach for Parallelization of Real-World Symbolic Applications.- SIPR: A New Framework for Generating Efficient Code for Sparse Matrix Computations.- HPF-2 Support for Dynamic Sparse Computations.- Instruction Scheduling.- Integrated Instruction Scheduling and Register Allocation Techniques.- A Spill Code Placement Framework for Code Scheduling.- Copy Elimination for Parallelizing Compilers.- Potpourri.- Compiling for SIMD Within a Register.- Automatic Analysis of Loops to Exploit Operator Parallelism on Reconfigurable Systems.- Principles of Speculative Run-Time Parallelization.- Dependence Analysis.- The Advantages of Instance-Wise Reaching Definition Analyses in Array (S)SA.- Dependency Analysis of Recursive Data Structures Using Automatic Groups.- The I+ Test.