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IPPS
2009
IEEE
14 years 2 months ago
A cross-input adaptive framework for GPU program optimizations
Abstract—Recent years have seen a trend in using graphic processing units (GPU) as accelerators for general-purpose computing. The inexpensive, single-chip, massively parallel ar...
Yixun Liu, Eddy Z. Zhang, Xipeng Shen
SC
2005
ACM
14 years 1 months ago
Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution
Performance prediction across platforms is increasingly important as developers can choose from a wide range of execution platforms. The main challenge remains to perform accurate...
Leo T. Yang, Xiaosong Ma, Frank Mueller
ICPP
1996
IEEE
13 years 11 months ago
Mechanisms for Mapping High-Level Parallel Performance Data
A primary problem in the performance measurement of high-level parallel programming languages is to map lowlevel events to high-level programming constructs. We discuss several as...
R. Bruce Irvin, Barton P. Miller
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...
IPPS
2005
IEEE
14 years 1 months ago
Performance Analysis of MPI Collective Operations
Previous studies of application usage show that the performance of collective communications are critical for high-performance computing and are often overlooked when compared to ...
Jelena Pjesivac-Grbovic, Thara Angskun, George Bos...