- use (starpu_cpu_func_t) 1 trick, same as cuda_func
    - cpu funtions are not defined anymore avoiding the dependency to coreblas
    - add #if !defined(CHAMELEON_SIMULATION) where it is needed
    - remove dependency to the coreblas library (become useless)
    - remove useless simucblas, simulapacke libraries
    - remove CHAMELEON_SIMULATION_MAGMA cmake variable and definition
      - keep using CHAMELEON_USE_CUDA and CHAMELEON_USE_MAGMA to consider CUDA kernels
      - this avoid to introduce useless new variables
    - work on messages

to avoid reverse dependency libcoreblas->libchameleon
set_coreblas_gemm3m_enabled()/get_coreblas_gemm3m_enabled() allow to set/get
this variable.

This routine, available in MKL, does a product in 6n^3 ops instead of 8n^3
but is interesting only for "large enough" matrices (to be tested...)
Potentially, we gain 25 % in all complex computations.
It could be interesting to look for it / implement it in cuda.

!!! Note that the flop counters are not updated         !!!
!!! In C/Z accuracy, most flops counter should be x0.75 !!!

IT is OFF by default
It is activated with MORSE_Enable(MORSE_GEMM3M)
In the timing routines, it is activated with --gemm3m