Tuple Results with Multiple functions and TaskPool
Explore how to handle multiple function results as tuples using std.algorithm.map and utilize TaskPool for parallelism in D. Understand how to specify initial values for taskPool.reduce and control thread use with explicit TaskPool objects. This lesson helps you write efficient parallel code by leveraging tuple results and thread management in D.
We'll cover the following...
We'll cover the following...
Multiple functions and tuple results
std.algorithm.map(), taskPool.map(), taskPool.amap(), and taskPool.reduce() can all take more than one function, in which case the results are returned as a Tuple. The results of individual functions correspond to the elements of the tuple in the order that the functions are specified. For example, the result of the first ...