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ISPASS
2009
IEEE
14 years 2 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
27
Voted
ICALP
2004
Springer
14 years 1 months ago
Online Scheduling with Bounded Migration
Consider the classical online scheduling problem where jobs that arrive one by one are assigned to identical parallel machines with the objective of minimizing the makespan. We gen...
Peter Sanders, Naveen Sivadasan, Martin Skutella
COLOGNETWENTE
2008
13 years 9 months ago
Special Cases of Online Parallel Job Scheduling
In this paper we consider the online scheduling of jobs, which require processing on a number of machines simultaneously. These jobs are presented to a decision maker one by one, ...
Johann Hurink, Jacob Jan Paulus
ESA
2006
Springer
82views Algorithms» more  ESA 2006»
13 years 11 months ago
Preemptive Online Scheduling: Optimal Algorithms for All Speeds
Our main result is an optimal online algorithm for preemptive scheduling on uniformly related machines with the objective to minimize makespan. The algorithm is deterministic, yet...
Tomás Ebenlendr, Wojciech Jawor, Jiri Sgall
ICALP
2004
Springer
14 years 1 months ago
Online Scheduling of Equal-Length Jobs: Randomization and Restarts Help
We consider the following scheduling problem. The input is a set of jobs with equal processing times, where each job is specified by its release time and deadline. The goal is to ...
Marek Chrobak, Wojciech Jawor, Jiri Sgall, Tom&aac...