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Parallel programming model
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<p>In <a href="/facts/Computing/Kghtm9fX">computing</a>, a parallel programming model is an <a href="/facts/Abstraction_(software_engineering)/hAnxmJle">abstraction</a> of <a href="/facts/Parallel_computing/nQzcpzQt">parallel computer</a> architecture, with which it is convenient to express <a href="/facts/Algorithms/fnl5NmRt">algorithms</a> and their composition in <a href="/facts/Computer_program/e38jH9N9">programs</a>. The value of a programming model can be judged on its <i>generality</i>: how well a range of different problems can be expressed for a variety of different architectures, and its <i>performance</i>: how efficiently the compiled programs can execute. The implementation of a parallel programming model can take the form of a <a href="/facts/Library_(computing)/xRzL3P7q">library</a> invoked from a <a href="/facts/Programming_language/cWTYbgWa">programming language</a>, as an extension to an existing languages. </p><p>Consensus around a particular programming model is important because it leads to different parallel computers being built with support for the model, thereby facilitating <a href="/facts/Software_portability/tWKVGCBb">portability</a> of software. In this sense, programming models are referred to as <i><a href="/facts/Bridging_model/GXUUKLSv">bridging</a></i> between hardware and software. </p>