Languages and Compilers for Parallel Computing [electronic resource] : 14th International Workshop, LCPC 2001, Cumberland Falls, KY, USA, August 1-3, 2001, Revised Papers /

Optimizing Compiler Design for Modularity and Extensibility -- Translation Schemes for the HPJava Parallel Programming Language -- Compiler and Middleware Support for Scalable Data Mining -- Bridging the Gap between Compilation and Synthesis in the DEFACTO System -- Instruction Balance and Its Relation to Program Energy Consumption -- Dynamic Voltage and Frequency Scaling for Scientific Applications -- Improving Off-Chip Memory Energy Behavior in a Multi-processor, Multi-bank Environment -- A Compilation Framework for Power and Energy Management on Mobile Computers -- Locality Enhancement by Array Contraction -- Automatic Data Distribution Method Using First Touch Control for Distributed Shared Memory Multiprocessors -- Balanced, Locality-Based Parallel Irregular Reductions -- A Comparative Evaluation of Parallel Garbage Collector Implementations -- STAPL: An Adaptive, Generic Parallel C++ Library -- An Interface Model for Parallel Components -- Tree Traversal Scheduling: A Global Instruction Scheduling Technique for VLIW/EPIC Processors -- MIRS: Modulo Scheduling with Integrated Register Spilling -- Strength Reduction of Integer Division and Modulo Operations -- An Adaptive Scheme for Dynamic Parallelization -- Probabilistic Points-to Analysis -- A Compiler Framework to Detect Parallelism in Irregular Codes -- Compiling for a Hybrid Programming Model Using the LMAD Representation -- The Structure of a Compiler for Explicit and Implicit Parallelism -- Coarse Grain Task Parallel Processing with Cache Optimization on Shared Memory Multiprocessor -- A Language for Role Specifications -- The Specification of Source-to-Source Transformations for the Compile-Time Optimization of Parallel Object-Oriented Scientific Applications -- Computing Array Shapes in MATLAB -- Polynomial Time Array Dataflow Analysis -- Induction Variable Analysis without Idiom Recognition: Beyond Monotonicity.