Relativistic Programming
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Relativistic Programming
Relativistic programming (RP) is a style of concurrent programming where instead of trying to avoid conflicts between readers and writers (or writers and writers in some cases) the algorithm is designed to tolerate them and get a correct result regardless of the order of events. Also, relativistic programming algorithms are designed to work without the presences of a global order of events. That is, there may be some cases where one thread sees two events in a different order than another thread (hence the term relativistic because in Einstein's theory of special relativity the order of events is not always the same to different viewers). This essentially implies working under causal consistency instead of a stronger model. Relativistic programming provides advantages in performance compared to other concurrency paradigms because it does not require one thread to wait for another nearly as often. Because of this, forms of it (Read-Copy-Update for instance) are now used extensivel ...
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Concurrent Programming
Concurrent means happening at the same time. Concurrency, concurrent, or concurrence may refer to: Law * Concurrence, in jurisprudence, the need to prove both ''actus reus'' and ''mens rea'' * Concurring opinion (also called a "concurrence"), a legal opinion which supports the conclusion, though not always the reasoning, of the majority. * Concurrent estate, a concept in property law * Concurrent resolution, a legislative measure passed by both chambers of the United States Congress * Concurrent sentences, in criminal law, periods of imprisonment that are served simultaneously Computing * Concurrency (computer science), the property of program, algorithm, or problem decomposition into order-independent or partially-ordered units * Concurrent computing, the overlapping execution of multiple interacting computational tasks * Concurrence (quantum computing), a measure used in quantum information theory * Concurrent Computer Corporation, an American computer systems manufacturer ...
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