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Computer systems make use of caches—small and fast memories located close to the processor which store temporary copies of memory values (nearby in both the physical and logical sense). Parallel computer systems have difficulties with caches that may store the same value in more than one location, with the possibility of incorrect program ...
Multithreading (computer architecture) For threads in software, see Thread (computing). A process with two threads of execution, running on a single processor. In computer architecture, multithreading is the ability of a central processing unit (CPU) (or a single core in a multi-core processor) to provide multiple threads of execution.
Parallel algorithm. In computer science, a parallel algorithm, as opposed to a traditional serial algorithm, is an algorithm which can do multiple operations in a given time. It has been a tradition of computer science to describe serial algorithms in abstract machine models, often the one known as random-access machine.
Data parallelism is parallelization across multiple processors in parallel computing environments. It focuses on distributing the data across different nodes, which operate on the data in parallel. It can be applied on regular data structures like arrays and matrices by working on each element in parallel. It contrasts to task parallelism as ...
Parallel programming model. In computing, a parallel programming model is an abstraction of parallel computer architecture, with which it is convenient to express algorithms and their composition in programs. The value of a programming model can be judged on its generality: how well a range of different problems can be expressed for a variety ...
The same system may be characterized both as "parallel" and "distributed"; the processors in a typical distributed system run concurrently in parallel. [22] Parallel computing may be seen as a particularly tightly coupled form of distributed computing, [23] and distributed computing may be seen as a loosely coupled form of parallel computing. [12]
Concurrency (computer science) In computer science, concurrency is the ability of different parts or units of a program, algorithm, or problem to be executed out-of-order or in partial order, without affecting the outcome. This allows for parallel execution of the concurrent units, which can significantly improve overall speed of the execution ...
Concurrent computing. Concurrent computing is a form of computing in which several computations are executed concurrently —during overlapping time periods—instead of sequentially— with one completing before the next starts. This is a property of a system—whether a program, computer, or a network —where there is a separate execution ...