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

IT is OFF by default
It is activated with MORSE_Enable(MORSE_PROGRESS)
In the timing routines, it is activated with --progress
No progress is printed for tasks faster than 10 seconds

chameleon: cblas/lapacke headers should not be duplicated, factorize error message if cblas/lapacke function are called in simu mode

The new codelet is added for all 3 runtimes but only tested with starpu ;-)
An example test7 is added : it is a copy of test6 that uses the new function to build the matrices

ooc test: create a ooc subdirectory in the build dir to write data on disk instead of /tmp/starpu_ooc because we must guarantee that the directory exists

chameleon: add a out_of_core example, requires to handle the case where starpu handles itself the allocation of tiles -> we give a NULL pointer through the get_blkaddr function for registering

update the INSTALL_RPATH at the beginning instead of setting a new one, allows to give additional paths by hand

Add CHAMELEON_SIMULATION_MAGMA option to select whether to enable magma kernels or not in simulation mode