Parallelization for non-linear response calculations

By default yambo_nl is parallelized on frequencies, that is the most efficient way to distribute calculations among the different processors, other two parallelizations are available in the code:

K-points parallelization
if your system is large and requires more memory or you have few frequencies you can change the parallelization strategy. By using the flag "-V par" you will get the parallelization options in your input, you can decide to turn on the parallelization on k-points in such a way that the product of cores in k-space and in frequency-space is equal to the total number of cores. For example if have 16 cores you can set:

NL_CPU= "4 4"                   # [PARALLEL] CPUs for each role
NL_ROLEs= "w k"                 # [PARALLEL] CPUs roles (w,k)
DIP_CPU= "4 2 2"                      # [PARALLEL] CPUs for each role
DIP_ROLEs= "k c v"                    # [PARALLEL] CPUs roles (k,c,v)
                           

in this way the code will distribute the wave-function on 4 cores and reduce the amount of memory. If this is not enough you can use the Open-MP parallelization, see below.

Open-MP
Another possibility is to compile the code with the --enable-open-mp flag and then use the OpenMP parallelization. \\ For example set the number of threads to 2 with the command:

export OMP_NUM_THREADS="2"                      

and yambo_nl automatically will use the threads available. In the log file will find:

.....
<---> P1: MPI Cores-Threads   : 16(CPU)-2(threads)
<---> P1: MPI Cores-Threads   : NL(environment)-4 4(CPUs)-w k(ROLEs)
.....

Using all these parallelization you can use a large number of cores for example image you want to calculate the response for 40 different frequencies you could set

"4 cores Open-MP" x "10 cores k-points" x "40 cores frequencies" = 1600 cores.

we advice not to use more than 4 open-MP threads, unless you have memory problems in your calculations.
Notice that the restart for interrupted calculations works only on frequencies.