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Link sequential program with multithread mkl
Link sequential program with multithread mkl




link sequential program with multithread mkl
  1. Link sequential program with multithread mkl how to#
  2. Link sequential program with multithread mkl code#

$ echo You are the coolest programmer ever

Terminal commands are denoted by inline code prefixed with $, output omits the $.It will try to avoid the cores which has taken by other threads even if those cores are not busy at all. So looks like MKL does not allow overlap binding cores. In this case, thread 0 can get the peak performance of the remaining 57 cores. Now, thread 0 can get the peak performance of 60 cores.Ĭase 3, thread 0 mkl_set_num_threads_local(240-3*4), thread 1-3 mkl_set_num_threads_local(0), and send them to sleep, I did 3 experinment, the results are pretty interesting:Ĭase 1, thread 0 mkl_set_num_threads_local(240), thread 1-3 mkl_set_num_threads_local(0), and send them to sleep.Ĭase 2, thread 0 mkl_set_num_threads_local(240), thread 1-3 mkl_set_num_threads_local(0), and send them to sleep, BUT thread 1-3 are NEVER bound to any cores, I just create them and let them there. At some point, I am going to send thread 1-3 to sleep, and let thread 0 call MKL funtion like dgemm with MKL_NUM_THREADS=240(4HT per core), but I am not able to use all the 60 cores even if thread 1-3 have already slept. There are 4 threads, thread 1-3 are bound to core 1-3 (each thread is bound to 1 core), and thread 0 is bound to all cores (60 in intel MIC). Right now, I have a another issue with MKL. BTW, in your program, there is only 1 MKL runs, since it is outside the pragma, right? but the MKL_NUM_THREADS=2. I already fix the problem, my solution is similar to yours, but I use kmp set affnity. Seethe Linux Programmer's Manual(in man pages format)forparticulars of thesched_setaffinityfunction used in the above example. Run it intwothreads, for example, by using the environmentvariable to set the number of threads: Wheretest_application.cis the filename for the application.īuild the application.

link sequential program with multithread mkl

#define _GNU_SOURCE //for using the GNU CPUaffinity // (works with the appropriate kernel and glibc) // Setaffinity mask #include #include #include #include int main(void) Ĭompile the application with the Intel compiler using the following command: The code calls the system functionsched_setaffinityto bind the threads tothecoreson different sockets.

The following code example shows how to resolve this issue by setting anaffinitymask by operating system means using the Intel compiler.

  • Thetwo-thread parallel applicationthat calls the Intel MKL FFThappens to run faster than in four threads, but the performance in two threadsisveryunstable.
  • The system has two sockets with two cores each, for a total of four cores (CPUs).
  • is the assumption the affinity, you may refer to mkl user guide, for example,Ĭonsider the following performance issue: What is your real question, the first one or the secend one?īut from your reply, it seems you have completed the first one. The second, can't get wanted performace on MIC with the code. The first one,how to archieve the thread affinity.įor example, bind one pthread to 4 core, each of threads call zheev. I can only use multiple thread, not mutiple processes, because I have shared varaiables.Īs i learn, there are two questions here. I plan to parallel run 4 multi-thread mkl in totally 60 cores, each mkl takes 15 cores.

    link sequential program with multithread mkl

    If I call sequential mkl in 15 cores, I can not get performance of 15 cores. Create 4 additional processes that will be executed on 4 different CPUs ( set affinity functionality needs to be used / depends on OS ) and Non-Threaded MKL version needs to be usedīased in your solution, I need to use sequential MKL, but I have 4 thread and 60 cores. Create 4 threads that will be executed on 4 different CPUs ( set affinity functionality needs to be used / depends on OS ) and Non-Threaded MKL version needs to be used However, Threaded MKL could ignore it and could use its own thread management (!). In order to force some OpenMP thread to be executed on a dedicated CPU you need to use a trick based on omp_get_thread_num() OpenMP function ( a long time ago I've provided sources on IDZ ). >.How can I achieve it? I use kmp_set_affinity, but I didnt get the correct performance.






    Link sequential program with multithread mkl