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`Conferences > Proceedings of 1995 1st IEEE ...
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`Thread prioritization: a thread scheduling mechanism for multiple-context parallel
`processors
`Publisher: IEEE
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`S. Fiske ; W.J. Dally All Authors
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`Abstract:Multiple-context processors provide register resources that allow rapid context switching between several
`threads as a means of tolerating long communication and synchron... View more
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`Abstract:
`Multiple-context processors provide register resources that allow rapid context switching between several threads as a
`means of tolerating long communication and synchronization latencies. When scheduling threads on such a processor,
`we must first decide which threads should have their state loaded into the multiple contexts, and second, which loaded
`thread is to execute instructions at any given time. In this paper we show that both decisions are important, and that
`incorrect choices can lead to serious performance degradation. We propose thread prioritization as a means of guiding
`both levels of scheduling. Each thread has a priority that can change dynamically, and that the scheduler uses to
`allocate as many computation resources as possible to critical threads. We briefly describe its implementation, and we
`show simulation performance results for a number of simple benchmarks in which synchronization performance is
`critical.< >
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`Published in: Proceedings of 1995 1st IEEE Symposium on High Performance Computer Architecture
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`Date of Conference: 22-25 January 1995
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`INSPEC Accession Number: 4881211
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`Date Added to IEEE Xplore: 06 August 2002
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`DOI: 10.1109/HPCA.1995.386541
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`Realtek Ex. 1011
`Case No. IPR2023-00922
`Page 1 of 4
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`
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`Print ISBN:0-8186-6445-2
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`Publisher: IEEE
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`Conference Location: Raleigh, NC, USA
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`Realtek Ex. 1011
`Case No. IPR2023-00922
`Page 2 of 4
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`Optimizing the time cost of parallel structures by scheduling parallel processes to access the critical section
`Proceedings ICCI `92: Fourth International Conference on Computing and Information
`Published: 1992
`Synchronization-Aware Scheduling for Virtual Clusters in Cloud
`IEEE Transactions on Parallel and Distributed Systems
`Published: 2015
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