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2009
ACM
15 years 4 months ago
Autotuning multigrid with PetaBricks
Algorithmic choice is essential in any problem domain to realizing optimal computational performance. Multigrid is a prime example: not only is it possible to make choices at the ...
Cy P. Chan, Jason Ansel, Yee Lok Wong, Saman P. Am...
CGO
2011
IEEE
14 years 1 months ago
Language and compiler support for auto-tuning variable-accuracy algorithms
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olsze...
WWW
2005
ACM
15 years 10 months ago
Improving text collection selection with coverage and overlap statistics
In an environment of distributed text collections, the first step in the information retrieval process is to identify which of all available collections are more relevant to a giv...
Thomas Hernandez, Subbarao Kambhampati
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
15 years 3 months ago
Boosting Relational Sequence Alignments
The task of aligning sequences arises in many applications. Classical dynamic programming approaches require the explicit state enumeration in the reward model. This is often impr...
Andreas Karwath, Kristian Kersting, Niels Landwehr
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 3 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn