Concurrent computing
Concurrent computing is a form of computing where several computations are executed during overlapping time periods. It involves the simultaneous execution of computations, which can be executed on a single processor or distributed among multiple processors.
Overview[edit | edit source]
Concurrent computing is a paradigm in which multiple computations are executed concurrently, not necessarily in parallel. This is a form of computing that is widely used in modern operating systems, database management systems, and distributed systems. The computations in concurrent computing can be executed on a single processor or distributed among multiple processors.
History[edit | edit source]
The concept of concurrent computing has its roots in the early days of computer science, when researchers began to explore the potential of using multiple processors to perform computations simultaneously. The development of multicore processors and the increasing demand for high-performance computing have further propelled the growth of concurrent computing.
Concepts[edit | edit source]
Concurrent computing involves several key concepts, including processes, threads, and synchronization. Processes are independent units of computation, while threads are smaller units of computation that can be scheduled and executed independently. Synchronization is the coordination of concurrent computations to ensure that they do not interfere with each other.
Applications[edit | edit source]
Concurrent computing is used in a wide range of applications, from operating systems and database management systems to distributed systems and high-performance computing. It is also used in real-time systems, where computations must be completed within a certain time frame.
Challenges[edit | edit source]
Despite its advantages, concurrent computing also presents several challenges. These include deadlock, where two or more computations are unable to proceed because each is waiting for the other to release a resource, and race conditions, where the behavior of a system depends on the relative timing of events.
See also[edit | edit source]
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