docs: mentiond build options for NVPL FFT

doc/src/Build_settings.rst

@@ -67,9 +67,9 @@ libraries and better pipelining for packing and communication.
 
       .. code-block:: bash
 
-         -D FFT=value              # FFTW3 or MKL or KISS, default is FFTW3 if found,
-                                   # else KISS
-         -D FFT_KOKKOS=value       # FFTW3 or MKL or KISS or CUFFT or HIPFFT,
+         -D FFT=value              # FFTW3 or MKL or NVPL or KISS,
+                                   # default is FFTW3 if found, else KISS
+         -D FFT_KOKKOS=value       # FFTW3 or MKL or NVPL or KISS or CUFFT or HIPFFT,
                                    # default is KISS
          -D FFT_SINGLE=value       # yes or no (default), no = double precision
          -D FFT_PACK=value         # array (default) or pointer or memcpy
@@ -103,6 +103,8 @@ libraries and better pipelining for packing and communication.
          -D FFT_HEFFTE_BACKEND=value # FFTW or MKL or empty/undefined for the stock
                                      # heFFTe back end
          -D Heffte_ROOT=path         # path to an existing heFFTe installation
+         -D nvpl_fft_INCLUDE_DIR=path # path to NVPL FFT include files
+         -D nvpl_fft_LIBRARY_DIR=path # path to NVPL FFT libraries
 
       .. note::
 
@@ -121,9 +123,9 @@ libraries and better pipelining for packing and communication.
       .. code-block:: make
 
          FFT_INC = -DFFT_<NAME>        # where <NAME> is KISS (default), FFTW3,
-                                       # FFTW (same as FFTW3), or MKL
+                                       # FFTW (same as FFTW3), NVPL, or MKL
          FFT_INC = -DFFT_KOKKOS_<NAME> # where <NAME> is KISS (default), FFTW3,
-                                       # FFTW (same as FFTW3), MKL, CUFFT, or HIPFFT
+                                       # FFTW (same as FFTW3), MKL, NVPL, CUFFT, or HIPFFT
          FFT_INC = -DFFT_SINGLE       # do not specify for double precision
          FFT_INC = -DFFT_FFTW_THREADS # enable using threaded FFTW3 libraries
          FFT_INC = -DFFT_MKL_THREADS  # enable using threaded FFTs with MKL libraries
@@ -165,6 +167,10 @@ libraries and better pipelining for packing and communication.
          # MKL with automatic runtime selection of interface libs
          FFT_LIB =  -lmkl_rt
 
+         # threaded NVPL FFT
+         FFT_LIB =  -lnvpl_fftw
+
+
       As with CMake, you do not need to set paths in ``FFT_INC`` or
       ``FFT_PATH``, if the compiler can find the FFT header and library
       files in its default search path.  You must specify ``FFT_LIB``
@@ -218,6 +224,10 @@ The Intel MKL math library is part of the Intel compiler suite.  It
 can be used with the Intel or GNU compiler (see the ``FFT_LIB`` setting
 above).
 
+The NVIDIA Performance Libraries (NVPL) FFT library is optimized for NVIDIA
+Grace Armv9.0 architecture. You can download it from
+`https://docs.nvidia.com/nvpl/`_.
+
 The cuFFT and hipFFT FFT libraries are packaged with NVIDIA's CUDA and
 AMD's HIP installations, respectively. These FFT libraries require the
 Kokkos acceleration package to be enabled and the Kokkos back end to be