Supporting Parallelism in Server-based Multiprocessor Systems

Details Supporting Parallelism in Server-based Multiprocessor Systems Supporting Parallelism in Server-based Multiprocessor Systems

2011-06-14

arxiv.org/abs/1106.2766v1

Computer Science

Distributed, Parallel, and Cluster Computing

WiP Session of the 31st IEEE Real-Time Systems Symposium

Scientific paper

Developing an efficient server-based real-time scheduling solution that supports dynamic task-level parallelism is now relevant to even the desktop and embedded domains and no longer only to the high performance computing market niche. This paper proposes a novel approach that combines the constant bandwidth server abstraction with a work-stealing load balancing scheme which, while ensuring isolation among tasks, enables a task to be executed on more than one processor at a given time instant.

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