Parallel Method Invocation

What Does Parallel Method Invocation Mean?

Parallel method invocation (PMI) is a computational concept used in programming and Big Data analytics which allows an application to call or invoke functions or methods in parallel, as opposed to one after the other which is the norm in most instances.


The core concept is for a single caller to invoke the same function multiple times in parallel to allow for parallel execution and speed up whatever the process is meant to accomplish.

Techopedia Explains Parallel Method Invocation

Parallel method invocation is simply invoking multiple methods or functions in parallel; there may be multiple ways of achieving this depending on the application and the requirements. Currently the model is being implemented in programming and development notably in Python. The concept is also extensively used Big Data analytics to allow the servers to generate reports faster.

In Python programming, PMI is a module which helps foster parallel computing by joining together the fork-join model and message passing concepts for process communication in parallel computing. In Big Data Analytics, analytics providers and programmers have implemented a PMI method through an API which allows the application to call map/reduce methods in parallel and have them executed in different grid servers in parallel and the results merged afterward. This significantly reduces report generation time.


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Margaret Rouse

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical, business audience. Over the past twenty years her explanations have appeared on TechTarget websites and she's been cited as an authority in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine and Discovery Magazine.Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages. If you have a suggestion for a new definition or how to improve a technical explanation, please email Margaret or contact her…