Grokking Concurrency by copyright-2022-manning-publications.html

Author:copyright-2022-manning-publications.html
Language: eng
Format: epub

Loops take up a significant portion of execution time in many programs, especially in science or analytical systems, and they can take many forms. To understand whether your problem fits this pattern, you need to do an analysis at or close to the source code level. It is important to understand the dependencies between different iterations of a loop – whether data from the previous iteration is used in subsequent iterations.

Note

There are a lot of libraries and frameworks in the wild that uses loop-level parallelism. Open Multi-Processing or OpenMP uses loop-level parallelism for multicore processor architectures. Nvidia's CUDA library provides loop-level parallelism for GPU architectures. Pattern map is widely implemented in majority of modern programming languages, say Scala, Java, Kotlin, Python, Haskell, etc.

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