Abstract is missing.
- Software Automatic Tuning: Concepts and State-of-the-Art ResultsReiji Suda, Ken Naono, Keita Teranishi, John Cavazos. 3-15 [doi]
- ATLAS Version 3.9: Overview and StatusR. Clint Whaley. 19-32 [doi]
- Autotuning Method for Deciding Block Size Parameters in Dynamically Load-Balanced BLASYuta Sawa, Reiji Suda. 33-48 [doi]
- Automatic Tuning for Parallel FFTsDaisuke Takahashi. 49-67 [doi]
- Dynamic Programming Approaches to Optimizing the Blocking Strategy for Basic Matrix DecompositionsYusaku Yamamoto, Takeshi Fukaya. 69-85 [doi]
- Automatic Tuning of the Division Number in the Multiple Division Divide-and-Conquer for Real Symmetric EigenproblemYusuke Ishikawa, Junichi Tamura, Yutaka Kuwajima, Takaomi Shigehara. 87-101 [doi]
- Automatically Tuned Mixed-Precision Conjugate Gradient SolverSerban Georgescu, Hiroshi Okuda. 103-119 [doi]
- Automatically Tuned Sparse EigensolversKen Naono, Takao Sakurai, Masashi Egi. 121-133 [doi]
- Systematic Performance Evaluation of Linear Solvers Using Quality Control TechniquesShoji Itoh, Masaaki Sugihara. 135-152 [doi]
- Application of Alternating Decision Trees in Selecting Sparse Linear SolversSanjukta Bhowmick, Victor Eijkhout, Yoav Freund, Erika Fuentes, David Keyes. 153-173 [doi]
- Toward Automatic Performance Tuning for Numerical Simulations in the SILC Matrix Computation FrameworkTamito Kajiyama, Akira Nukada, Reiji Suda, Hidehiko Hasegawa, Akira Nishida. 175-192 [doi]
- Exploring Tuning Strategies for Quantum Chemistry ComputationsLakshminarasimhan Seshagiri, Meng-Shiou Wu, Masha Sosonkina, Zhao Zhang. 193-208 [doi]
- Automatic Tuning of CUDA Execution Parameters for Stencil ProcessingKatsuto Sato, Hiroyuki Takizawa, Kazuhiko Komatsu, Hiroaki Kobayashi. 209-228 [doi]
- Static Task Cluster Size Determination in Homogeneous Distributed SystemsHidehiro Kanemitsu, Gilhyon Lee, Hidenori Nakazato, Takashige Hoshiai, Yoshiyori Urano. 229-252 [doi]
- Algorithmic Parameter Optimization of the DFO Method with the OPAL FrameworkCharles Audet, Cong-Kien Dang, Dominique Orban. 255-274 [doi]
- A Bayesian Method of Online Automatic TuningReiji Suda. 275-293 [doi]
- ABCLibScript: A Computer Language for Automatic Performance TuningTakahiro Katagiri. 295-313 [doi]
- Automatically Tuning Task-Based Programs for Multicore ProcessorsJin Zhou, Brian Demsky. 315-334 [doi]
- Efficient Program Compilation Through Machine Learning TechniquesGennady Pekhimenko, Angela Demke Brown. 335-351 [doi]
- Autotuning and Specialization: Speeding up Matrix Multiply for Small Matrices with Compiler TechnologyJaewook Shin, Mary W. Hall, Jacqueline Chame, Chun Chen, Paul D. Hovland. 353-370 [doi]