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In computer science, a concurrent data structure is a
particular way of storing and organizing data for access by
multiple computing threads (or processes) on a computer.
Historically, such data structures were used on uniprocessor
machines with operating systems that supported multiple
computing threads (or processes). The term concurrency captured the
multiplexing/interleaving of the threads' operations on the
data by the operating system, even though the processors never
issued two operations that accessed the data simultaneously.
Today, as multiprocessor computer architectures that provide
parallelism become the dominant computing platform (through the
proliferation of multi-core processors), the term has come to
stand mainly for data structures that can be accessed by multiple
threads which may actually access the data simultaneously because
they run on different processors that communicate with one another.
The concurrent data structure (sometimes also called a shared data structure) is usually considered to reside in an abstract storage
environment called shared memory, though this memory may be
physically implemented as either a "tightly coupled" or a
distributed collection of storage modules.
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