Titlebook: Languages and Compilers for Parallel Computing; 15th Workshop, LCPC Bill Pugh,Chau-Wen Tseng Conference proceedings 2005 Springer-Verlag B

tolerance

Afflict

inhumane

An Empirical Study on the Granularity of Pointer Analysis in C Programs, data dependence analysis, which is essential in exploiting parallelism, because complex data structures such as arrays are often accessed through pointers in C. One of the important aspects of pointer analysis methods is their granularity, the way in which the memory objects are named for analysis.

initiate

Automatic Implementation of Programming Language Consistency Models,hese shared memory accesses. For good run-time performance, these constraints must be as few as possible. Programmers who write explicitly parallel programs must take into account the consistency model when reasoning about the behavior of their programs. Also, the consistency model constrains compil

Myosin

Parallel Reductions: An Application of Adaptive Algorithm Selection,rallel algorithms. We have previously shown that parallel reduction algorithms are quite input sensitive and thus can benefit from an adaptive, reference pattern directed selection. In this paper we extend our previous work by detailing a systematic approach to dynamically select the best parallel a

Verify

Adaptively Increasing Performance and Scalability of Automatically Parallelized Programs,rder to maximize performance and scalability. The adaptation and performance estimation algorithms are implemented in a compiler preprocessor. The preprocessor inserts code that automatically determines at compile-time or at run-time the way the parallelized loops are executed. Using a set of standa

Serenity

拥护

Lineage

A Comparative Study of Stampede Garbage Collection Algorithms,e applications via . that contain . items. A Stampede application is a coarse-grain dataflow pipeline of timestamped items. Not all timestamps are . for the application output due to the differential processing rates of the pipeline stages. Therefore, . is crucial for Stampede runtime performance. T

HALL

Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms, amount of computation involved, and the need for rapid or even interactive analysis, data mining applications require the use of parallel machines. We have been developing compiler and runtime support for developing scalable implementations of data mining algorithms. Our work encompasses shared mem