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removing lock overhead using the owners' temporal locality ...
IEEE Xplore
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由 T Ogasawara 著作2004被引用 16 次 — We propose a new algorithm for this problem. It uses simple instructions to acquire the lock by exploiting the owner locality for objects even if the ownership ...
Removing Lock Overhead Using the Owners' Temporal ...
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由 T Ogasawara 著作2004被引用 16 次 — In this paper, we propose a novel locking algorithm, the tentative-ownership lock or TO-lock, which exploits the high owner locality. The algorithm does not ...
TO-Lock: Removing Lock Overhead Using the Owners' ...
IEEE Computer Society
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IEEE Computer Society
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由 T Ogasawara 著作2004被引用 16 次 — It uses simple instructions to acquire the lock by exploiting the owner locality for objects even if the ownership has migrated among the threads. Our algorithm ...
removing lock overhead using the owners' temporal locality
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Semantic Scholar
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The experimental results of the benchmarking on an SMP machine using Intel Xeon processors showed that the proposed algorithm can significantly improve the ...
Removing Lock Overhead Using the Owners' Temporal ...
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2023年3月24日 — Takeshi Ogasawara, Hideaki Komatsu, Toshio Nakatani: TO-Lock: Removing Lock Overhead Using the Owners' Temporal Locality.
Synchronization mechanisms - 1.62.0
Boost C++ Libraries
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Boost C++ Libraries
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Flush data before unlocking the file lock in writers using fflush if you are using standard C functions or the flush() member function when using C++ iostreams.
Chapter 8. Locking and Concurrency
Red Hat
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In clustered caches, each key has a node responsible to lock the key. This node is called primary owner. 8.1.1.1. Non Transactional caches.
Transactional Lock-Free Execution of Lock-Based Programs
CMU School of Computer Science
http://www.cs.cmu.edu › trns_lock_free_asplos02
CMU School of Computer Science
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由 R Rajwar 著作2002被引用 454 次 — Programmers can obtain benefits of lock-free data structures, such as non-blocking behavior and wait-freedom, while using lock-protected critical sections for ...
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Lock (computer science)
Wikipedia
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A lock or mutex (from mutual exclusion) is a synchronization primitive that prevents state from being modified or accessed by multiple threads of execution at ...
Centralized Cache Management in HDFS - Apache Hadoop
Apache Hadoop
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2024年3月4日 — Since checksum verification of cached data is done once by the DataNode, clients can incur essentially zero overhead when using this new API.