• State Suggested Answer
  • Locked Locked
  • Replies 3 replies
  • Answers 2 answers
  • Subscribers 25 subscribers
  • Views 1612 views
  • Users 0 members are here
2025 survey

We are running a survey to help us improve the experience for all of our members. If you see the survey appear, please take the time to tell us about your experience if you can.

Options
Related
How was your experience today?
This discussion has been locked.
You can no longer post new replies to this discussion. If you have a question you can start a new discussion

Is there a paralleled version of LAPACKE_cheev?

Weiwei Chen

I'm using EVD (LAPACKE_cheev), I'd like to know if there is a openMP accelerated version in the ARM PL.

Thanks!

Parents
  • 0 in reply to Chris Armstrong

    Hi Chrs,

    I tried linking with both libarmpl and libarmpl_mp, but I didn't notice any difference in runtime.

    Is there any way to tell if this function supports multithreading or multi-core processing?

    Thanks!

    # without openmp
target_link_libraries(test_armpl ${CUDA_LIBRARIES} ${CUDA_CUBLAS_LIBRARIES} ${CUDA_CUSOLVER_LIBRARIES} cublas cusolver armpl_lp64 pthread m)

# with openmp
target_link_libraries(test_armpl ${CUDA_LIBRARIES} ${CUDA_CUBLAS_LIBRARIES} ${CUDA_CUSOLVER_LIBRARIES} cublas cusolver armpl_lp64_mp pthread m)

Reply
  • 0 in reply to Chris Armstrong

    Hi Chrs,

    I tried linking with both libarmpl and libarmpl_mp, but I didn't notice any difference in runtime.

    Is there any way to tell if this function supports multithreading or multi-core processing?

    Thanks!

    # without openmp
target_link_libraries(test_armpl ${CUDA_LIBRARIES} ${CUDA_CUBLAS_LIBRARIES} ${CUDA_CUSOLVER_LIBRARIES} cublas cusolver armpl_lp64 pthread m)

# with openmp
target_link_libraries(test_armpl ${CUDA_LIBRARIES} ${CUDA_CUBLAS_LIBRARIES} ${CUDA_CUSOLVER_LIBRARIES} cublas cusolver armpl_lp64_mp pthread m)

Children