LCPC'97, 9. sējums

Pirmais vāks
David Sehr
Springer Science & Business Media, 1997. gada 11. jūn. - 612 lappuses
This book presents the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Languages and Compilers for Parallel Computing, LCPC'96, held in San Jose, California, in August 1996.
The book contains 35 carefully revised full papers together with nine poster presentations. The papers are organized in topical sections on automatic data distribution and locality enhancement, program analysis, compiler algorithms for fine-grain parallelism, instruction scheduling and register allocation, parallelizing compilers, communication optimization, compiling HPF, and run-time control of parallelism.

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CrossLoop Reuse Analysis and Its Application to Cache Optimizations
1
Locality Analysis for Distributed SharedMemory Multiprocessors
20
Data Distribution and Loop Parallelization for SharedMemory Multiprocessors
41
Data Localization Using Loop Aligned Decomposition for MacroDataflow Processing
56
Exploiting Monotone Convergence Functions in Parallel Programs
75
Exact versus Approximate Array Region Analyses
86
ContextSensitive Interprocedural Analysis in the Presence of Dynamic Aliasing
101
Initial Results for Glacial Variable Analysis
120
StatementLevel CommunicationFree Partitioning Techniques for Parallelizing Compilers
389
Generalized Overlap Regions for Communication Optimization in DataParallel Programs
404
Optimizing the Representation of Local Iteration Sets and Access Sequences for BlockCyclic Distributions
420
Interprocedural Array Redistribution DataFlow Analysi
435
Early Experience
450
Simple Qualitative Experiments with a Spars Compiler
466
A Unique Approach to Compiling Array Languages for Parallel Machines
481
Compilation of Constraint Systems to Procedural Parallel Programs
501

Predicated Code Optimizations
135
Determining Asynchronous Pipeline Execution Times
154
Compiler Techniques for Concurrent Multithreading with Hardware Speculation Support
175
ResourceDirected Loop Pipelining
192
Integrating Program Optimizations and Transformations with the Scheduling of Instruction Level Parallelism
207
A New Global Code Scheduling Approach
222
Parametric Computation of Margins and of Minimum Cumulative Register Lifetime Dates
231
Global Register Allocation Based on Graph Fusion
246
Automatic Parallelization for Noncache Coherent Multiprocessors
266
Eliminating Lock Overhead in Automatically Parallelized ObjectBased Programs
285
Are Parallel Workstations the Right Target for Parallelizing Compilers?
300
Optimal Reordering and Mapping of a Class of Nested Loops for Parallel Execution
315
CommunicationMinimal Tiling of Uniform Dependence Loops
330
CacheCoherent DistributedMemory Multiprocessors
350
ResourceBased Communication Placement Analysis
369
A Multithreaded Substrate and Compilation Model for the Implicitly Parallel Language pH
519
Threads for Interoperable Parallel Programming
534
A Programming Environment for Dynamic Resource Allocation and Data Distribution
553
Dependence Driven Execution for Data Parallelism
570
oSSA and Its Construction Through Symbolic Interpretation
585
Extended Abstract
588
3D Visualization of Program Structure and Data Dependence for Parallelizing Compilers and Parallel Programming
591
Side Effect Analysis on UserDefined Reduction Functions with Dynamic PointerLinked Data Structures
594
Estimating Minimum Execution Time of Perfect Loop Nests with LoopCarried Dependences
597
Automatic Data and Computation Partitioning on Scalable Shared Memory Multiprocessors
600
The Loop Parallelizer LooPoAnnouncement
603
A Generalized forall Concept for Parallel Languages
605
Memory Optimizations In The Intel Reference Compiler
608
Author Index
611
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Populāri fragmenti

583. lappuse - Schauser, Thorsten von Eicken and John Wawrzynek. Fine-grain Parallelism with Minimal Hardware Support: A Compiler-Controlled Threaded Abstract Machine. In Proceedings of the Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 1991.

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