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Concurrent data structures are significantly more difficult to design and to verify as being correct than their sequential counterparts. The primary source of this additional difficulty is concurrency, exacerbated by the fact that threads must be thought of as being completely asynchronous: they are subject to operating system preemption, page faults, interrupts, and so on.
So the concurrent join pattern application executed in parallel on a multi-core architecture doesn't guarantee that parallel execution lead to conflicts. To Guarantee this and a high degree of parallelism, a Software Transactional Memory (STM) within a highlytuned concurrent data structure based on atomic compare-and-swap (CAS) is use.
Disruptor is a library for the Java programming language that provides a concurrent ring buffer data structure of the same name, developed at LMAX Exchange. [1] It is designed to provide a low-latency, high-throughput work queue in asynchronous event processing architectures. It ensures that any data is owned by only one thread for write access ...
While optimistic replication might not work in the general case, there is a significant and practically useful class of data structures, CRDTs, where it does work — where it is always possible to merge or resolve concurrent updates on different replicas of the data structure without conflicts. This makes CRDTs ideal for optimistic replication.
Structured concurrency is a programming paradigm aimed at improving the clarity, quality, and development time of a computer program by using a structured approach to concurrent programming.
The Java programming language and the Java virtual machine (JVM) are designed to support concurrent programming.All execution takes place in the context of threads.Objects and resources can be accessed by many separate threads.
A concurrent hash table or concurrent hash map is an implementation of hash tables allowing concurrent access by multiple threads using a hash function. [1] [2] Concurrent hash tables represent a key concurrent data structure for use in concurrent computing which allow multiple threads to more efficiently cooperate for a computation among ...
This is a breakthrough in concurrent data-structure design, since existing concurrent data-structures do not support snapshots. The snapshot operation allows implementing lock-free, linearizable iterator, size and clear operations - existing concurrent data-structures have implementations which either use global locks or are correct only given ...