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I'm using OpenMP to parallelize some union operation on Boost::geometry polygons (BPolygon). However I am stumbling over very strange exceptions that only occur from time to time (despite my RNGs being seeded with the same seed) so I wonder whether I'm ignoring some undefined behaviors with OpenMP parallelization and containers...

The code is part of a large and rather complex ensemble so I cannot really provide a MWE but the relevant parts are as follow:

Im using WebApi to Deserialize Object on client side, witch contains some lightweight images, the code reads:

I think the best explanation is an example. I have 2 different variables of different types, and I want their type max values:

I want to predefine the 2d-array containing an array of objects like this below image:

I am trying this way:

I have this code:

Before I start, I just want to thank every contributor ahead of time. I've only posted one question before, and I was amazed at how quickly I got responses and how much I learned after studying the solution. I'm hoping I will have enough reputation points soon to start upvoting good solutions I find here.

Anyways, what I'm trying to do is return one number, and that number is the maximum number of names that appear in a single cell of a worksheet column. Each cell in that column can have any number of names in it. Each name is delimited by a pipe "|", so I count the pipes and then add one to get the number of names in each cell. For example: Cell value is "Bob | Jon | Larry" = 2pipes +1 = 3 names.

My code below works, but I need to do this on tens of thousands of records. I don't think my solution is a good or efficient way to do it (tell me if I'm wrong). So my questions are:

1. Is there a better way to accomplish this, such as without looping through every cell in the range?

2. If there isn't a totally different approach to this, how can I avoid actually printing the name counts in cells in a new column? Could I store these values in an array and calculate the max of the array? (maybe there is already a thread on this topic you could point me to?)

I want to parallelise this code:

I want to speedup the execution of a simulation. This is part of the main function: