Supporting Parallelism in Server-based Multiprocessor Systems
Ref: HURRAY-TR-101103 Publication Date: 30, Nov to 3, Dec, 2010
Supporting Parallelism in Server-based Multiprocessor SystemsRef: HURRAY-TR-101103 Publication Date: 30, Nov to 3, Dec, 2010
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 constantbandwidth 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.
31st IEEE Real-Time Systems Symposium (RTSS 2010), Work-In-Progress Session.
San Diego, U.S.A..