Explicit parallelism
In this article, we are going to dive into the exciting world of Explicit parallelism. We will learn about its history, its applications and its relevance in contemporary society. Explicit parallelism has been the subject of debate and study over the years, and it is important to understand its impact in different areas, from technology to culture. Through this article, we will explore the various aspects of Explicit parallelism and unravel its complexities to provide a complete and insightful look at this fascinating topic.
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In computer programming, explicit parallelism is the representation of concurrent computations using primitives in the form of operators, function calls or special-purpose directives.[1] Most parallel primitives are related to process synchronization, communication and process partitioning.[2] As they seldom contribute to actually carry out the intended computation of the program but, rather, structure it, their computational cost is often considered as overhead.
The advantage of explicit parallel programming is increased programmer control over the computation. A skilled parallel programmer may take advantage of explicit parallelism to produce efficient code for a given target computation environment. However, programming with explicit parallelism is often difficult, especially for non-computing specialists, because of the extra work and skill involved in developing it.
In some instances, explicit parallelism may be avoided with the use of an optimizing compiler or runtime that automatically deduces the parallelism inherent to computations, known as implicit parallelism.
Programming languages that support explicit parallelism
Some of the programming languages that support explicit parallelism are:
References
- ^ von Praun, Christoph (June 2011). Parallel programming: design of an overview class. Proceedings of the 2011 ACM SIGPLAN X10 Workshop. pp. 1–6. doi:10.1145/2212736.2212738.
- ^ Dijkstra, Edsger W. (May 1, 1968). "The structure of the "THE"-multiprogramming system". Communications of the ACM. 11 (5): 341–346. doi:10.1145/363095.363143.
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