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» Optimal Preemptive Scheduling for General Target Functions
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83
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CORR
2007
Springer
95views Education» more  CORR 2007»
14 years 9 months ago
Scheduling in Data Intensive and Network Aware (DIANA) Grid Environments
In Grids scheduling decisions are often made on the basis of jobs being either data or computation intensive: in data intensive situations jobs may be pushed to the data and in co...
Richard McClatchey, Ashiq Anjum, Heinz Stockinger,...
76
Voted
HPDC
1999
IEEE
15 years 1 months ago
Remote Application Scheduling on Metacomputing Systems
Efficient and robust metacomputing requires the decomposition of complex jobs into tasks that must be scheduled on distributed processing nodes. There are various ways of creating...
Heath A. James, Kenneth A. Hawick
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
12 years 12 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman
GLVLSI
2010
IEEE
156views VLSI» more  GLVLSI 2010»
15 years 2 months ago
A multi-level approach to reduce the impact of NBTI on processor functional units
NBTI is one of the most important silicon reliability problems facing processor designers today. The impact of NBTI can be mitigated at both the circuit and microarchitecture leve...
Taniya Siddiqua, Sudhanva Gurumurthi
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 1 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde