|
63
|
Meta Optimization: Improving Compiler Heuristics with Machine Learning
– Mark Stephenson, Saman Amarasinghe, Martin Martin, Una-May O'Reilly
- 2002
|
|
87
|
Compiler optimization-space exploration
– Spyridon Triantafyllis, Manish Vachharajani, Neil Vachharajani, David I. August
- 2003
|
|
63
|
Using machine learning to focus iterative optimization
– F. Agakov, E. Bonilla, J. Cavazos, B. Franke, G. Fursin, M. F. P. O'boyle, J. Thomson, M. Toussaint, C. K. I. Williams
- 2006
|
|
36
|
Inducing Heuristics To Decide Whether To Schedule
– John Cavazos, J. Eliot B. Moss
- 2004
|
|
43
|
A Machine Learning Approach to Automatic Production of Compiler Heuristics
– Antoine Monsifrot, Francois Bodin, Rene Quiniou
- 2002
|
|
95
|
Optimizing for Reduced Code Space Using Genetic Algorithms
– Keith D. Cooper, Philip J. Schielke, Devika Subramanian
- 1999
|
|
70
|
Adaptive Optimizing Compilers for the 21st Century
– Keith D. Cooper, Devika Subramanian, Linda Torczon
- 2001
|
|
42
|
T.: Finding effective compilation sequences
– L Almagor, K D Cooper, A Grosul, T J Harvey, S W Reeves, D Subramanian, L Torczon, Waterman
- 2004
|
|
22
|
Probabilistic source-level optimisation of embedded programs
– Björn Franke, John Thomson, Grigori Fursin
- 2005
|
|
63
|
A comparison of empirical and model-driven optimization
– Kamen Yotov, Gerald Dejong, Keshav Pingali, Xiaoming Li
- 2003
|
|
23
|
ACME: adaptive compilation made efficient
– K Cooper, A Grosul, T Harvey, S Reeves, D Subramanian, L Torczon, T Waterman
|
|
22
|
A model-based framework: an approach for profit-driven optimization
– Min Zhao
- 2005
|
|
21
|
Learning to Schedule Straight-Line Code
– Eliot Moss, Paul Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla Brodley, David Scheeff
- 1997
|
|
312
|
Automatically tuned linear algebra software
– R. Clint Whaley, Jack J. Dongarra
- 1998
|
|
25
|
A Practical Method for Quickly Evaluating Program Optimizations
– Grigori Fursin, Albert Cohen, Michael O'Boyle, Olivier Temam
- 2005
|
|
6
|
Fast automatic procedure-level performance tuning
– Zhelong Pan, Rudolf Eigenmann
- 2006
|
|
18
|
Automatic performance model construction for the fast software exploration of new hardware designs
– John Cavazos, Christophe Dubach, Felix Agakov, Edwin Bonilla, Grigori Fursin, Olivier Temammember Of Hipeac
- 2006
|
|
23
|
Fast and effective orchestration of compiler optimizations for automatic performance tuning
– Zhelong Pan, Rudolf Eigenmann
- 2006
|
|
24
|
Online performance auditing: using hot optimizations without getting burned
– Jeremy Lau
- 2006
|