2018
DOI: 10.1109/tpds.2017.2777454
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Blocking Analysis for Spin Locks in Real-Time Parallel Tasks

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Cited by 25 publications
(28 citation statements)
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“…Recently [21], spin locks were studied for parallel real-time tasks in where each parallel task is scheduled exclusively on several pre-assigned processors (i.e., by the federated scheduling approach). This reduces the need for locks or scheduling to synchronize concurrent access (through shared resources may introduce locking as considered by Dinh et al [5]). The authors developed new schedulability analysis techniques for parallel tasks with spin locks, and analysed blocking times but the analysis is pessimistic.…”
Section: Introductionmentioning
confidence: 99%
“…Recently [21], spin locks were studied for parallel real-time tasks in where each parallel task is scheduled exclusively on several pre-assigned processors (i.e., by the federated scheduling approach). This reduces the need for locks or scheduling to synchronize concurrent access (through shared resources may introduce locking as considered by Dinh et al [5]). The authors developed new schedulability analysis techniques for parallel tasks with spin locks, and analysed blocking times but the analysis is pessimistic.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, spin locks were studied for parallel real-time tasks in [9] where each parallel task is scheduled exclusively on several pre-assigned processors (i.e., by the federated *Corresponding author: Nan Guan scheduling approach [6]). However, the analysis in [9] is pessimistic.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, spin locks were studied for parallel real-time tasks in [9] where each parallel task is scheduled exclusively on several pre-assigned processors (i.e., by the federated *Corresponding author: Nan Guan scheduling approach [6]). However, the analysis in [9] is pessimistic. The contribution of our work is to develop new techniques for the schedulability analysis of real-time parallel tasks with spin locks and significantly improve the analysis precision against the state-of-the-art.…”
Section: Introductionmentioning
confidence: 99%
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