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ISHPC
2003
Springer
14 years 3 months ago
Evaluating Heuristic Scheduling Algorithms for High Performance Parallel Processing
Most cluster systems used in high performance computing do not allow process relocation at run-time. Finding an allocation that results in minimal completion time is NP-hard and (n...
Lars Lundberg, Magnus Broberg, Kamilla Klonowska
KDD
1998
ACM
84views Data Mining» more  KDD 1998»
14 years 2 months ago
Towards the Personalization of Algorithms Evaluation in Data Mining
Like model selectionin statistics,the choiceof appropriate Data Mining Algorithms (DM-Algorithms) is a very importanttask in the processof KnowledgeDiscovery.Due to this fact it i...
Gholamreza Nakhaeizadeh, Alexander Schnabl
AAAI
2000
13 years 11 months ago
A Distributed Algorithm to Evaluate Quantified Boolean Formulae
In this paper, we present PQSOLVE, a distributed theorem-prover for Quantified Boolean Formulae. First, we introduce our sequential algorithm QSOLVE, which uses new heuristics and...
Rainer Feldmann, Burkhard Monien, Stefan Schamberg...
ICRA
2006
IEEE
138views Robotics» more  ICRA 2006»
14 years 4 months ago
Evaluation of Algorithms for bearing-only SLAM
— An important milestone for building affordable robots that can become widely popular is to address robustly the Simultaneous Localization and Mapping (SLAM) problem with inexpe...
Kostas E. Bekris, Max Glick, Lydia E. Kavraki
ICDE
2002
IEEE
146views Database» more  ICDE 2002»
14 years 11 months ago
Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic
Network, web, and disk I/O traffic are usually bursty, self-similar [9, 3, 5, 6] and therefore can not be modeled adequately with Poisson arrivals[9]. However, we do want to model...
Mengzhi Wang, Ngai Hang Chan, Spiros Papadimitriou...