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Parallel Real-Time Task Scheduling on Multicore Platforms James H. Anderson and John M. Calandrino
 

Summary: Parallel Real-Time Task Scheduling on Multicore Platforms
James H. Anderson and John M. Calandrino
Department of Computer Science, The University of North Carolina at Chapel Hill
Abstract
We propose a scheduling method for real-time systems im-
plemented on multicore platforms that encourages individ-
ual threads of multithreaded real-time tasks to be scheduled
together. When such threads are cooperative and share a
common working set, this method enables more effective use
of on-chip shared caches.
1 Introduction
Multicore architectures, which include several processors on
a single chip, are being widely touted as a solution to the
"thermal roadblock" imposed by single-core designs. Sev-
eral chip makers have released dual-core chips, and a few
designs with more than two cores have been announced as
well. For instance, Sun recently released its eight-core Ni-
agara chip, while Intel is expected to release chips with 80
cores within five years [6].
Core 1

  

Source: Anderson, James - Department of Computer Science, University of North Carolina at Chapel Hill

 

Collections: Computer Technologies and Information Sciences