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» Timing model reduction for hierarchical timing analysis
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SPAA
2010
ACM
15 years 6 months ago
Online capacity maximization in wireless networks
In this paper we study a dynamic version of capacity maximization in the physical model of wireless communication. In our model, requests for connections between pairs of points i...
Alexander Fanghänel, Sascha Geulen, Martin Ho...
VLDB
2001
ACM
190views Database» more  VLDB 2001»
15 years 6 months ago
LEO - DB2's LEarning Optimizer
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer’s e...
Michael Stillger, Guy M. Lohman, Volker Markl, Mok...
KES
1999
Springer
15 years 6 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
STOC
1993
ACM
264views Algorithms» more  STOC 1993»
15 years 6 months ago
Contention in shared memory algorithms
Most complexity measures for concurrent algorithms for asynchronous shared-memory architectures focus on process steps and memory consumption. In practice, however, performance of ...
Cynthia Dwork, Maurice Herlihy, Orli Waarts
SIGMETRICS
2010
ACM
195views Hardware» more  SIGMETRICS 2010»
15 years 5 months ago
CWS: a model-driven scheduling policy for correlated workloads
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...
Giuliano Casale, Ningfang Mi, Evgenia Smirni