Cool, Ill try that out later! I was wondering about that, but obviously I 
wasn't able to default dims::Array{Int64,1} = 0.
How do I make sure it returns a definite type? I know that it should always 
be an Array{UInt64,1}. I added the code of mdhcounters to the gist.
Thanks for the input!

On Saturday, 12 March 2016 15:15:51 UTC+1, Dan wrote:
>
> Yep, `peCounters`, `paCounters` and `dims` are not type-stable. They are 
> one type by their default values and then assigned another. Perhaps rename 
> the default parameters, and copy them to `peCounters`, `paCounters` and 
> `dims` only if they are set to something other than `0`.
>
> Also, `mdhcounters` might not return a definite type (need to check that 
> function).
> Fixing these should make the loop efficient.
>
> On Saturday, March 12, 2016 at 4:05:39 PM UTC+2, Tim Loderhose wrote:
>>
>> Here's the actual code: 
>> https://gist.github.com/timlod/0f607e311d0464fd6c63
>>
>> I am running the code from the REPL, may that be a problem? (As I read in 
>> the REPL everything is global). In the file nothing is global.
>> Also, the counters are UInt16s, but that shouldnt matter I guess.
>>
>> Thanks for the help so far!
>>
>> On Saturday, 12 March 2016 14:22:38 UTC+1, Dan wrote:
>>>
>>> It's better to have code which actually runs in the post. In any case, 
>>> the allocations at the `for` lines is suspicious - the for should basically 
>>> only allocate a counter. Are there any global variables? Is `counter1` or 
>>> `counter2` or `dims` global? Globals are always a good source of confusion 
>>> to the type-inference engine.
>>>
>>> On Saturday, March 12, 2016 at 2:28:51 PM UTC+2, Tim Loderhose wrote:
>>>>
>>>> The code is in a function. I changed the names a bit to make it more 
>>>> understandable. The actual function is longer and has different variable 
>>>> names.
>>>>
>>>> On Saturday, 12 March 2016 13:01:28 UTC+1, tshort wrote:
>>>>>
>>>>> Is that code in a function? (It should be.) Also, one of your variable 
>>>>> names changed to `counter1s`. Suspect a type instability.
>>>>> On Mar 12, 2016 4:12 AM, "Tim Loderhose" <[email protected]> wrote:
>>>>>
>>>>>> I tried around with that a bit, but then it gets much worse: From ~1s 
>>>>>> to ~6s, allocation as shown:
>>>>>>
>>>>>> 153710487     mat = Array{Complex64}(dims...)
>>>>>>   4722450       file = Mmap.mmap(filename, Array{Complex64,2}, 
>>>>>> (dims[2],length(counter1)))
>>>>>>      9568          for i = 1:dims[2]
>>>>>>      4000             for j = 1:length(counter1)
>>>>>> 1690462534          mat[counter1s[j],i,counter2[j]] = file[i,j]
>>>>>>         -                 end
>>>>>>
>>>>>> I swapped the for loops around here, but that didn't matter. I can 
>>>>>> gain a little bit by indexing i into the first dimension of mat, but it 
>>>>>> still lags far behind.
>>>>>> Any other ideas?
>>>>>>
>>>>>> On Saturday, 12 March 2016 03:15:33 UTC+1, Greg Plowman wrote:
>>>>>>>
>>>>>>> I think array slices (on right hand side of assignment) create new 
>>>>>>> arrays, hence the allocation.
>>>>>>> Try writing an explicit loop instead, something like:
>>>>>>>
>>>>>>> for j = 1:length(counter1)
>>>>>>>    for i = 1:size(file,1)
>>>>>>>        mat[counter1[j],i,counter2[j]] = file[i,j]
>>>>>>>    end
>>>>>>> end
>>>>>>>
>>>>>>>
>>>>>>> On Saturday, March 12, 2016 at 12:25:00 PM UTC+11, Tim Loderhose 
>>>>>>> wrote:
>>>>>>>
>>>>>>>> Hi,
>>>>>>>>
>>>>>>>> I have a question regarding some allocation in my code I would like 
>>>>>>>> to get rid of.
>>>>>>>> I am memory mapping a file (which could be very large) which is 
>>>>>>>> part of a complex 3D matrix, and then put its contents into the 
>>>>>>>> preallocated matrix along the second dimension. I need the counters 
>>>>>>>> because 
>>>>>>>> the contents of file are only a subset of the full matrix.
>>>>>>>>
>>>>>>>> Here's a profiled snippet, where the file which is loaded has 
>>>>>>>> 120619520 bytes.
>>>>>>>>
>>>>>>>> 153705063     mat = Array{Complex64}(dims...)
>>>>>>>>  4721282        file = Mmap.mmap(filename, Array{Complex64,2}, 
>>>>>>>> (dims[2],length(counter1)))
>>>>>>>> 16                   for i = 1:length(counter1)
>>>>>>>> 148179531           mat[counter1[i],:,counter2[i]] = file[:,i]
>>>>>>>>         -              end
>>>>>>>>
>>>>>>>> Why does the code allocate so much memory inside the for-loop (even 
>>>>>>>> more bytes than the contents of file)?
>>>>>>>> It seems like this is a trivial matter, right now I just can't get 
>>>>>>>> my head around it, any help is appreciated :)
>>>>>>>>
>>>>>>>> Thanks,
>>>>>>>> Tim
>>>>>>>>
>>>>>>>

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