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» Annotation-based empirical performance tuning using Orio
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ICCS
2001
Springer
13 years 9 months ago
Statistical Models for Automatic Performance Tuning
Achieving peak performance from library subroutines usually requires extensive, machine-dependent tuning by hand. Automatic tuning systems have emerged in response, and they typic...
Rich Vuduc, James Demmel, Jeff Bilmes
CAIP
2011
Springer
248views Image Analysis» more  CAIP 2011»
12 years 4 months ago
Statistical Tuning of Adaptive-Weight Depth Map Algorithm
Abstract. In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experimen...
Alejandro Hoyos, John Congote, Iñigo Barand...
CGO
2004
IEEE
13 years 8 months ago
A Dynamically Tuned Sorting Library
Empirical search is a strategy used during the installation of library generators such as ATLAS, FFTW, and SPIRAL to identify the algorithm or the version of an algorithm that del...
Xiaoming Li, María Jesús Garzar&aacu...
ICPP
2007
IEEE
13 years 11 months ago
Multi-Layer Event Trace Analysis for Parallel I/O Performance Tuning
The complexity of parallel I/O systems lies in the deep I/O stack with many software layers and concurrent I/O request handling at multiple layers. This paper explores multi-layer...
Pin Lu, Kai Shen
ICS
2005
Tsinghua U.
13 years 10 months ago
Automatic generation and tuning of MPI collective communication routines
In order for collective communication routines to achieve high performance on different platforms, they must be able to adapt to the system architecture and use different algori...
Ahmad Faraj, Xin Yuan