[julia-users] Re: obtaining pointer to function

Hi Steven, thank you very much for the clarification. It was indeed possible to pass the length if the vector and with pointer_to_array it works smoothly. Tomas On Tuesday, 2 August 2016 13:46:47 UTC+2, Steven G. Johnson wrote: > > > > On Tuesday, August 2, 2016 at 7:39:16 AM UTC-4,

[julia-users] obtaining pointer to function

Hi All, I am trying to bind a fortran library for optimization (http://napsu.karmitsa.fi/lmbm/) to Julia. To do so, I would like to get a pointer to function written in Julia, which I try to do as function fOpt(x::Array{Float64,1},g::Array{Float64,1}) fill!(g,1.0);

Re: [julia-users] Re: Calling all users of ParallelAccelerator.

Hi Todd, I have been looking at latte and it does not seem to be useful for me, since I need some special constructs and they are just not available. Nevertheless, I would like to ask you, if Latte uses parallelization? In my own implementation, I am struggling to exploit multi-core hw. Thank

[julia-users] Re: Calling all users of ParallelAccelerator.

> > Hi Todd, > I have tried several times to use ParallelAccelerator to speed up my toy Neural Network library, but I never had any significant performance boost. I like the idea of the project a lot, sadly I was never able to fully utilise it. Best wishes, Tomas

[julia-users] Re: asynchronous reading from file

Hi James, thank for the reply. Though in your implementation the reading is not in a separate process / thread, as I expect that you are bound to IO operations. In my problem there is computationally intensive post-processing. Should I modify the iotask as iotask = @task begin

[julia-users] asynchronous reading from file

Hi All, I would like to implement an asynchronous reading from file. I am doing stochastic gradient descend and while I am doing the optimisation, I would like to load the data on the background. Since reading of the data is followed by a quite complicated parsing, it is not just simple IO

Re: [julia-users] poor performance of threads

Dear Sam, the output of the benchmark is following 105.290122 seconds (31.43 k allocations: 1.442 MB, 0.00% gc time) 107.445101 seconds (1.37 M allocations: 251.368 MB, 0.12% gc time) Tomas

Re: [julia-users] poor performance of threads

Thank you very much Tim. I am using the profiler and your package ProfileView quite extensively and I know where is my Achille heel in the code, and it is cpu bound. That's why I am so puzzled with threads. I will try to use @code_warntype, never use it before. Best wishes, Tomas

[julia-users] Bug in daxpy! ???

Hello all, I was polishing my call and I have found the following definition of daxpy! I was not aware of function axpy!{Ti<:Integer,Tj<:Integer}(α, x::AbstractArray, rx::AbstractArray{Ti}, y::AbstractArray, ry::AbstractArray{Tj}) if length(x) != length(y)

Re: [julia-users] poor performance of threads

Thanks a lot for the suggestions. As I have mentioned, it was really a toy problem, but I am not getting a significant speedup on a bigger problem, where threads are nicely separated either and the problem is very CPU bound either. I would be very interested to know about tool that would point

[julia-users] poor performance of threads

Hi All, I would like to ask if someone has an experience with Threads as they are implemented at the moment in the master branch. After the successful compilation (put JULIA_THREADS=1 to Make.user) I have played with different levels of granularity, but usually the code was slower or more or

[julia-users] cannot compile Julia with threading support

Hi All, I wanted to try julia with threads, therefore I have cloned GIT repository, checkout version 0.4.3 git checkout release-0.4 I have put JULIA_THREADS=1, here is my Make.user CC=/opt/rh/devtoolset-2/root/usr/bin/gcc CXX=/opt/rh/devtoolset-2/root/usr/bin/g++ JULIA_THREADS=1 and compiled

[julia-users] Tutorials and examples on threading

Hi All, I know that julia does not have at the moment native support for threads, but it exist in an experimental branch. Is there any tutorial on this, such that average user can try it? I would like to try it speed my code. I do separate processes at the moment and I think the overhead is

[julia-users] Type of composite type

Hello, I have a problem to which I have found a dirty solution and I am keen to know, if there is a principal one. I have a composite type defined as type Outer{T} A::T B::T end where A and and B are composite types Then I want to create constructor function Outer(k::Int)

[julia-users] samples of different sizes in mocha

Hi, I have a question related to use of Mocha, particularly if I can tweak it to my problem. I want to use the library for multi-instance learning, which means that each sample is composed of multiple instances, but the number of instances in each sample differs from sample to sample. You can

[julia-users] alignement in memory when allocating arrays

Hi all, I would like to ask if it is possible to enforce memory alignment for large arrays, such that that arrays are aligned to 64 bytes and can be efficiently with SIMD instructions. I assume to call library functions wirtten in c/c++. Thanks for the answer. Tomas