Why "Threads.@threads for " doesn't use all possible threads?

New to Julia
1

Good day.
I have 12 cores. So nthread() gives 12.
when I used "Threads.@threads for ", only 8 thread was created.
RAM memory was utilized for up to 85%.

Can memory limitations and the number of thread created be connected?

thanks.

2

Please show what code you ran.

3 
 function main()
     files=readdir()
     Threads.@threads for file in files
            if file[end-1:end]=="gz"
             println("threadid-",threadid(), " ", file)
             df=ParseFile(file)
             println("threadid-",threadid(), " ","Parsefile")
             df=KeepUniqueId(df)
             println("threadid-",threadid(), " ","KeepUnique")
             dfNews=ParseSubjects(df)
             println("threadid-",threadid(), " ","ParseSubjests")
             filename=file[1:end-7]
             CSV.write("$file.csv",dfNews)
         end
     end
end

The DataFrame size is around 1Gb.

4

See the first item here: Please read: make it easier to help you

5

How many files are in that directory?

6

Around 10-12. it’s more than a number of threads.

7

Maybe I got the answer
“Threads.@threads for” tries distribute evenly a number of threads since when I have exactly 12 files, 12 threads were created.