- LINK SEQUENTIAL PROGRAM WITH MULTITHREAD MKL HOW TO
- LINK SEQUENTIAL PROGRAM WITH MULTITHREAD MKL INSTALL
- LINK SEQUENTIAL PROGRAM WITH MULTITHREAD MKL CODE
- LINK SEQUENTIAL PROGRAM WITH MULTITHREAD MKL WINDOWS
LINK SEQUENTIAL PROGRAM WITH MULTITHREAD MKL WINDOWS
Your implicit concerns about conflicts between what you do in Windows threads and what MKL wants to do in OpenMP seem well taken.
LINK SEQUENTIAL PROGRAM WITH MULTITHREAD MKL INSTALL
I could install Windows on my old dual CPU Intel box, but it's not so interesting.Īmong the prerequisites for satisfactory performance on the 4-cpu Intel boxes are avoiding remote memory access by keeping each block of threads local to one CPU. I don't have access to a Windows E7 style box except occasionally at a customer site.
LINK SEQUENTIAL PROGRAM WITH MULTITHREAD MKL HOW TO
I haven't figured out how to shorten your case or find out why it doesn't complete on my platform even with the loop count shortened. This is why I have a strong preference for examples using environment variables in the usual ways to control number of threads and affinity.
LINK SEQUENTIAL PROGRAM WITH MULTITHREAD MKL CODE
Your code generates too many threads (total number of hyperthread logical processors) on my platform, even with mkl:sequential. to standard code, besides removing calls to set number of threads in OpenMP and MKL. In order to get started, I commented out your stdafx.h and changed _tmain etc. If you must use Windows threads, questions arise which probably aren't topical on this forum and I'm not prepared to learn about. So my comment about omp_nested doesn't apply, but I don't know whether we can resolve your questions about how mkl:parallel will work. I agree that if you wish to do this, /Qmkl:sequential seems to be the way to go. I didn't see anywhere in your previous posts that you were calling MKL from Windows threads (not using OpenMP except for the omp_num_threads() function and the MKL). I am very involved in this issue, please help me to do more I attach my small sample program for you and please check that(simple app that only multiple thread and each thread only exec conv) and i grateful from you for this action Is there anything else that I would consider?Īre you sure mkl work correctly on numa architecture?(in uma i dont have problem) can you test mkl on numa server Mkl_domain_set_num_threads(1,MKL_DOMAIN_FFT) //( i use mkl CONV) Then i use parallel library (mkl_intel_thread_dll.lib) and befor run own threads in the main of program write below methods to turn of mkl internal threads: I use sequential library but cpu usage was unchanged.(mkl_sequential_dll.lib) Mkl has internal threading and when my application is multi thread i must turn off Intel MKL threading by either using the sequential library or by setting MKL_NUM_THREADS.
Now is there a solution to enable numa for mkl and use 100 percent of cpu. because I did not encounter this problem on a non NUMA (uma) server(16 core server that dont have numa archtecture). I think internal memory management of mkl may incompatible with numa architecture. onceĮxecute_mkl_convolution(A,B,ConvRes) //for this i use vslzConvNewTask1D() and vslConvSetStart() and vslzConvExec1D() Mkl_complex* ConvRes=(mkl_complex*)malloc(sizeof(mkl_complex)* ConvResLen) // get mem for Result. Mkl_complex* B=(mkl_complex*)malloc(sizeof(mkl_complex)* 16000) // get mem for 2st input. Mkl_complex* A=(mkl_complex*)malloc(sizeof(mkl_complex)* 8092) // get mem for 1st input. My pseudo code in each thread is like this: and this problem does not related to memory management or heap sequential behavaior. I do not any memory operation in my code.(only 3 alloc and 3 free). I test that when i reduce input size of MKL FFT, cpu usage of cores will be a little better. So that in the end, when i have 80 thread, cpu usage of all cores is between 30 to 40 percent. When i have less 5 thread, cpu usage of each involved core is 100 %īut when I create more than 5 thread in a one numa group, cpu usage start to decrease so that by adding each thread, cpu usage of total cores slightly reduced. I want create one thread per each logical core and each thread execute fft, convolution. Independently.
I have a server with 80 logical core with NUMA memory architecture and windows server 2012.
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