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» Fine-Grained Task Reweighting on Multiprocessors
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RTCSA
2005
IEEE
14 years 1 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 7 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
14 years 1 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
14 years 1 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 11 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