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» Online Prediction of the Running Time of Tasks
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ICASSP
2011
IEEE
14 years 1 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
SAMOS
2007
Springer
15 years 3 months ago
Online Prediction of Applications Cache Utility
— General purpose architectures are designed to offer average high performance regardless of the particular application that is being run. Performance and power inefficiencies a...
Miquel Moretó, Francisco J. Cazorla, Alex R...
RTAS
2002
IEEE
15 years 2 months ago
Feedback Scheduling of Model Predictive Controllers
The paper presents some preliminary results on dynamic scheduling of model predictive controllers (MPCs). In an MPC, the control signal is obtained by on-line optimization of a co...
Dan Henriksson, Anton Cervin, Johan Åkesson,...
100
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EGPGV
2004
Springer
165views Visualization» more  EGPGV 2004»
15 years 2 months ago
Tuning of Algorithms for Independent Task Placement in the Context of Demand-Driven Parallel Ray Tracing
This paper investigates assignment strategies (load balancing algorithms) for process farms which solve the problem of online placement of a constant number of independent tasks w...
Tomas Plachetka
SIGMETRICS
2003
ACM
115views Hardware» more  SIGMETRICS 2003»
15 years 2 months ago
Dynamic resource allocation for shared data centers using online measurements
Since web workloads are known to vary dynamically with time, in this paper, we argue that dynamic resource allocation techniques are necessary to provide guarantees to web applicat...
Abhishek Chandra, Weibo Gong, Prashant J. Shenoy