LabVIEW

cancel
Showing results for 
Search instead for 
Did you mean: 

Concatenate across rows of 2D Array of strings into 1D, NO delimiter

Solved!
Go to solution

Sounds good. Thanks for the input mcduff! Much appreciated.

0 Kudos
Message 11 of 17
(746 Views)

@mcduff wrote:

PS Your timing comparison is not good, run each method without any others. Yes LabVIEW can do tasks in parallel, but you cannot predict the order.

 

mcduff


Thanks for the suggestion, but in what way is the order not predicted? I thought each branch will execute in parallel (essentially like a separate thread, unless I'm mistaken), and the data dependency will ensure they are fired off at the same time. Keep in mind I'm not looking for micro/nano second precision. 

 

The timing results I have so far are consistently proportional to each other.

0 Kudos
Message 12 of 17
(746 Views)

The OS determines the order, some may run twice before another one. My first solution is slightly faster than a simple concatenate on my computer, but not much. See below. (Old version attached)

 

snip.png

Message 13 of 17
(742 Views)

Also, displaying the data takes time, only 1 UI thread that all three loops need to share. Do not include update a display in your benchmark.

Message 14 of 17
(739 Views)

I thought you might say that it was related to the OS, and CPU time distribution. That does make sense, I agree. Thanks!

0 Kudos
Message 15 of 17
(736 Views)

@mcduff wrote:

Also, displaying the data takes time, only 1 UI thread that all three loops need to share. Do not include update a display in your benchmark.


This is something I never realized, but makes sense. Thanks for the tip!

0 Kudos
Message 16 of 17
(732 Views)
Solution
Accepted by topic author airalex1919

So if you are concerned about memory and speed and are starting with 1-d arrays, use the simple concatenate, you will use less memory, and it will be faster. It takes time to make a new 2d array, allocate memory for it, transpose it, etc. If you are already starting with a 2d array then use the 1st method I posted, slightly faster, and will work with any number of rows.

 

good luck

 

mcduff

0 Kudos
Message 17 of 17
(731 Views)