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Software automatic tuning : from concepts to state-of-the-art results

Author: Ken Naono
Publisher: New York : Springer, ©2010.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"It is well known that carefully tuned programs run much faster than ones consisting of simply written code, and sometimes the difference of speed is more 100X. To make things more complex, well-tuned code for some machines performs badly on others. "Automatic Performance Tuning" is a technology paradigm that enables software to tune itself to its environments so that it performs well on any computer, even on  Read more...
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Document Type: Book
All Authors / Contributors: Ken Naono
ISBN: 9781441969347 1441969349
OCLC Number: 646114112
Description: xiv, 377 pages : illustrations ; 24 cm
Contents: Software automatic tuning : concepts and state-of-the-art results / Reiji Suda [and others] --
ATLAS version 3.9 : overview and status / R. Clint Whaley --
Autotuning method for deciding block size parameters in dynamically load-balanced BLAS / Yuta Sawa and Reiji Suda --
Automatic tuning for parallel FFTs / Daisuke Takahashi --
Dynamic programming approaches to optimizing the blocking strategy for basic matrix decompositions / Yusaku Yamamoto and Takeshi Fukaya --
Automatic tuning of the division number in the multiple division divide-and-conquer for real symmetric eigenproblem / Yusuke Ishikawa [and others] --
Automatically tuned mixed-precision conjugate gradient solver / Serban Georgescu and Hiroshi Okuda --
Automatically tuned sparse eigensolvers / Ken Naono, Takao Sakurai, and Masashi Egi --
Systematic performance evaluation of linear solvers using quality control techniques / Shoji Itoh and Masaaki Sugihara --
Applications of alternating decision trees in selecting sparse linear solvers / Sanjukta Bhowmick [and others] --
Toward automatic performance tuning for numerical simulations in the SILC matrix computation framework / Tamito Kajiyama [and others] --
Exploring tuning strategies for quantum chemistry computation / Lakshminarasimhan Seshagiri [and others] --
Automatic tuning of CUDA execution parameters for stencil processing / Katsuto Sato [and others] --
Static task cluster size determination in homogeneous distributed systems / Hidehiro Kanemitsu [and others] --
Algorithmic parameter optimization of the DFO method with the OPAL framework / Charles Audet, Cong-Kien Dang, and Dominique Orban --
A Bayesian method of online automatic tuning / Reiji Suda --
ABCLibScript : a computer language for automatic performance tuning / Takahiro Katagiri --
Automatically tuning task-based programs for multicore processors / Jin Zhou and Brian Demsky --
Efficient program compilation through machine learning techniques / Gennady Pekhimenko and Angela Demke Brown --
Autotuning and specialization : speeding up matrix multiply for small matrices and compiler technology / Jaewook Shin [and others].
Responsibility: Ken Naono [and others].

Abstract:

This invaluable reference summarizes the latest research efforts on automatic performance tuning, a new methodology which maximizes software performance in any computing environment. It provides  Read more...

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