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» Compiler-Based Tools for Analyzing Parallel Programs
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OOPSLA
2009
Springer
14 years 1 days ago
Relooper: refactoring for loop parallelism in Java
In the multicore era, sequential programs need to be refactored for parallelism. The next version of Java provides ParallelArray, an array datastructure that supports parallel ope...
Danny Dig, Mihai Tarce, Cosmin Radoi, Marius Minea...
TJS
2002
135views more  TJS 2002»
13 years 7 months ago
HPCVIEW: A Tool for Top-down Analysis of Node Performance
Although it is increasingly difficult for large scientific programs to attain a significant fraction of peak performance on systems based on microprocessors with substantial instr...
John M. Mellor-Crummey, Robert J. Fowler, Gabriel ...
CLUSTER
2006
IEEE
13 years 7 months ago
A taxonomy of application scheduling tools for high performance cluster computing
Application scheduling plays an important role in high-performance cluster computing. Application scheduling can be classified as job scheduling and task scheduling. This paper pre...
Jiannong Cao, Alvin T. S. Chan, Yudong Sun, Sajal ...
IPPS
2000
IEEE
13 years 12 months ago
Applying Interposition Techniques for Performance Analysis of OpenMP Parallel Applications
Tuning parallel applications requires the use of effective tools for detecting performance bottlenecks. Along a parallel program execution, many individual situations of performan...
Marc González, Albert Serra, Xavier Martore...
ICS
2001
Tsinghua U.
13 years 12 months ago
Tools for application-oriented performance tuning
Application performance tuning is a complex process that requires assembling various types of information and correlating it with source code to pinpoint the causes of performance...
John M. Mellor-Crummey, Robert J. Fowler, David B....