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» Fine-Grained Task Reweighting on Multiprocessors
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RTCSA
2005
IEEE
13 years 10 months ago
Fine-Grained Task Reweighting on Multiprocessors
We consider the problem of task reweighting in fair-scheduled multiprocessor systems wherein each task’s processor share is specified as a weight. When a task is reweighted, a ...
Aaron Block, James H. Anderson, Gary Bishop
MICRO
2006
IEEE
113views Hardware» more  MICRO 2006»
13 years 5 months ago
Exploiting Fine-Grained Data Parallelism with Chip Multiprocessors and Fast Barriers
We examine the ability of CMPs, due to their lower onchip communication latencies, to exploit data parallelism at inner-loop granularities similar to that commonly targeted by vec...
Jack Sampson, Rubén González, Jean-F...
SIPS
2007
IEEE
13 years 11 months ago
Low-Overhead Run-Time Scheduling for Fine-Grained Acceleration of Signal Processing Systems
In this paper, we present four scheduling algorithms that provide flexible utilization of fine-grain DSP accelerators with low run-time overhead. Methods that have originally been...
Jani Boutellier, Shuvra S. Bhattacharyya, Olli Sil...
ECRTS
2006
IEEE
13 years 11 months ago
Task Reweighting under Global Scheduling on Multiprocessors
We consider schemes for enacting task share changes—a process called reweighting—on real-time multiprocessor platforms. Our particular focus is reweighting schemes that are de...
Aaron Block, James H. Anderson, UmaMaheswari C. De...
IEEEPACT
1998
IEEE
13 years 9 months ago
A New Heuristic for Scheduling Parallel Programs on Multiprocessor
In this paper, we present an efficient algorithm, called CASS-II, for task clustering without task duplication. Unlike the DSC algorithm, which is empirically the best known algor...
Jing-Chiou Liou, Michael A. Palis