Automated Empirical Optimization of High Performance Floating Point Kernels R. Clint Whaley University of Texas, San Antonio and David B. Whalley

First Page		Document Content
Date: 2005-10-14 18:53:03 Software Computing Numerical linear algebra Numerical software Compiler optimizations Automatically Tuned Linear Algebra Software Basic Linear Algebra Subprograms Kernel Mathematical optimization Program optimization Static single assignment form Loop unrolling		Automated Empirical Optimization of High Performance Floating Point Kernels R. Clint Whaley University of Texas, San Antonio and David B. Whalley Add to Reading List Source URL: www.cs.rice.edu Download Document from Source Website File Size: 563,61 KB Share Document on Facebook

	Journal of Global Optimization manuscript No. (will be inserted by the editor) Stabilizer-based symmetry breaking constraints for mathematical programs Leo Liberti · James Ostrowski DocID: 1v0h9 - View Document
	OPTIMA 88 Mathematical Optimization Society Newsletter Philippe L. Toint MOS Chair’s Column DocID: 1uTp0 - View Document
	The Annals of Probability 2004, Vol. 32, No. 1B, 1030–1067 © Institute of Mathematical Statistics, 2004 A STOCHASTIC REPRESENTATION THEOREM WITH APPLICATIONS TO OPTIMIZATION AND OBSTACLE PROBLEMS DocID: 1sOP9 - View Document
	Optimization of Electrical Production The production of electricity in France is optimized everyday with the help of a mathematical software developed at Inria, in collaboration with EDF R&D. Substantial performance is a DocID: 1rxID - View Document
	Timed-Elastic-Bands for Time-Optimal Point-To-Point Nonlinear Model Predictive Control DocID: 1ru4i - View Document