Hi, I did some performance tests for my NEGF simulation on two different systems: "KNL": Intel Xeon Phi 7250 @ 1.4 GHz, 68 cores/node.
I'm trying to call mkl_dbsrmm once instead of calling mkl_dbsrmv multiple times, but I'm getting different results, like:
After upgrading to MKL 2017 (as part of the 2017 Intel Fortran compiler for Windows) I get a Pardiso crash when calling it to solve a simple matrix.
Good day to all.
I am a student. I'm doing matrix calculations.
There was a problem with using the ?trexc function of MKL that makes the reordering of Schur factorization
I have a small matrix that consistently causes pardiso to crash only when I use OMP_NUM_THREADS=2 or 3. My machine has 12 cpus and any other setting for OMP_NUM_THREADS works.
I have to write a program to process a large amount of data. Since most of the processing involves matrix and vector operations I wanted to use MKL to take advantage of the optimized library.
I am writing a sparse solver using Inspector-executor Sparse BLAS routines and I get the following compiling error:
Intel® Math Kernel Library 11.3 Update 4 is now available
I'm trying to use the following file with 3 MPI processes but I end up with the following trace: