Languages and Compilers for Parallel Computing

Table of Contents

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   Book Overview
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   Chapter 1 High Performance Numerical Computing in Java: Language and Compiler Issues
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   Chapter 2 Instruction Scheduling in the Presence of Java’s Runtime Exceptions
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   Chapter 3 Dependence Analysis for Java
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   Chapter 4 Comprehensive Redundant Load Elimination for the IA-64 Architecture
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   Chapter 5 Minimum Register Instruction Scheduling: A New Approach for Dynamic Instruction Issue Processors
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   Chapter 6 Unroll-Based Copy Elimination for Enhanced Pipeline Scheduling
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   Chapter 7 A Linear Algebra Formulation for Optimising Replication in Data Parallel Programs
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   Chapter 8 Accurate Data and Context Management in Message-Passing Programs
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    Chapter 9 An Automatic Iteration/Data Distribution Method Based on Access Descriptors for DSMM
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    Chapter 10 Inter-array Data Regrouping
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    Chapter 11 Iteration Space Slicing for Locality
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    Chapter 12 A Compiler Framework for Tiling Imperfectly-Nested Loops
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    Chapter 13 Parallel Programming with Interacting Processes
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    Chapter 14 Application of the Polytope Model to Functional Programs
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    Chapter 15 Multilingual Debugging Support for Data-Driven and Thread-Based Parallel Languages
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    Chapter 16 An Analytical Comparison of the I-Test and Omega Test
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    Chapter 17 The Access Region Test
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    Chapter 18 A Precise Fixpoint Reaching Definition Analysis for Arrays
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    Chapter 19 Demand-Driven Interprocedural Array Property Analysis
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    Chapter 20 Language Support for Pipelining Wavefront Computations
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    Chapter 21 The Data Mover: A Machine-Independent Abstraction for Managing Customized Data Motion
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    Chapter 22 Optimization of Memory Usage Requirement for a Class of Loops Implementing Multi-dimensional Integrals
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    Chapter 23 Compile-Time Based Performance Prediction
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    Chapter 24 Designing the Agassiz Compiler for Concurrent Multithreaded Architectures
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    Chapter 25 The Scc Compiler: SWARing at MMX and 3D Now!
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    Chapter 26 Loop Shifting for Loop Compaction
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    Chapter 27 Speculative Predication Across Arbitrary Interprocedural Control Flow
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    Chapter 28 Porting an Ocean Code to MPI Using TSF
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    Chapter 29 A Geometric Semantics for Program Representation in the Polytope Model
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    Chapter 30 Compiler and Run-Time Support for Improving Locality in Scientific Codes
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    Chapter 31 Code Restructuring for Improving Real Time Response through Code Speed, Size Trade-offs on Limited Memory Embedded DSPs
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    Chapter 32 Compiling for Speculative Architectures
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    Chapter 33 Symbolic Analysis in the PROMIS Compiler
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    Chapter 34 Data I/O Minimization for Loops on Limited Onchip Memory Processors
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    Chapter 35 Time Skewing for Parallel Computers
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    Chapter 36 Run-Time Parallelization Optimization Techniques
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    Chapter 37 Thresholding for Work Distribution of Recursive, Multithreaded Functions
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    Chapter 38 An Empirical Study of Function Pointers Using SPEC Benchmarks
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    Chapter 39 Data Driven Graph: A Parallel Program Model for Scheduling