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» MetaCores: Design and Optimization Techniques
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TREC
2003
14 years 11 months ago
Ranking Function Discovery by Genetic Programming for Robust Retrieval
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
Li Wang, Weiguo Fan, Rui Yang, Wensi Xi, Ming Luo,...
GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
15 years 3 months ago
Search Based Automatic Test-Data Generation at an Architectural Level
Abstract. The need for effective testing techniques for architectural level descriptions is widely recognised. However, due to the variety of domain-specific architectural descript...
Yuan Zhan, John A. Clark
EUROSYS
2006
ACM
15 years 7 months ago
On the road to recovery: restoring data after disasters
—Restoring data operations after a disaster is a daunting task: how should recovery be performed to minimize data loss and application downtime? Administrators are under consider...
Kimberly Keeton, Dirk Beyer 0002, Ernesto Brau, Ar...
IPPS
2009
IEEE
15 years 4 months ago
Annotation-based empirical performance tuning using Orio
In many scientific applications, significant time is spent tuning codes for a particular highperformance architecture. Tuning approaches range from the relatively nonintrusive (...
Albert Hartono, Boyana Norris, Ponnuswamy Sadayapp...
IPPS
2008
IEEE
15 years 4 months ago
Scaling alltoall collective on multi-core systems
MPI Alltoall is one of the most communication intense collective operation used in many parallel applications. Recently, the supercomputing arena has witnessed phenomenal growth o...
Rahul Kumar, Amith R. Mamidala, Dhabaleswar K. Pan...