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ISPASS
2009
IEEE
14 years 2 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
ISPAN
1996
IEEE
13 years 11 months ago
Design and evaluation of an environment APE for automatic parallelization of programs
In this paper, we have presented the design and evaluation of a compiler system, called APE,for automatic parallelization of scientific and engineering applications on distributed...
Vipin Chaudhary, Cheng-Zhong Xu, Sumit Roy, Jialin...
PPOPP
2006
ACM
14 years 1 months ago
Optimizing irregular shared-memory applications for distributed-memory systems
In prior work, we have proposed techniques to extend the ease of shared-memory parallel programming to distributed-memory platforms by automatic translation of OpenMP programs to ...
Ayon Basumallik, Rudolf Eigenmann
PDPTA
2003
13 years 8 months ago
HPJava: Programming Support for High-Performance Grid-Enabled Applications
The paper begins by considering what a Grid Computing Environment might be, why it is demanded, and how the authors’ HPspmd programming fits into this picture. We then review o...
Han-Ku Lee, Bryan Carpenter, Geoffrey Fox, Sang Bo...
SC
2004
ACM
14 years 24 days ago
Performance Evaluation of Task Pools Based on Hardware Synchronization
A task-based execution provides a universal approach to dynamic load balancing for irregular applications. Tasks are arbitrary units of work that are created dynamically at runtim...
Ralf Hoffmann, Matthias Korch, Thomas Rauber