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Chris@82:SIMD, which stands for “Single Instruction Multiple Data,” is a set of Chris@82: special operations supported by some processors to perform a single Chris@82: operation on several numbers (usually 2 or 4) simultaneously. SIMD Chris@82: floating-point instructions are available on several popular CPUs: Chris@82: SSE/SSE2/AVX/AVX2/AVX512/KCVI on some x86/x86-64 processors, AltiVec and Chris@82: VSX on some POWER/PowerPCs, NEON on some ARM models. FFTW can be Chris@82: compiled to support the SIMD instructions on any of these systems. Chris@82: Chris@82: Chris@82: Chris@82: Chris@82: Chris@82: Chris@82: Chris@82: Chris@82: Chris@82:
Chris@82: Chris@82:A program linking to an FFTW library compiled with SIMD support can
Chris@82: obtain a nonnegligible speedup for most complex and r2c/c2r
Chris@82: transforms. In order to obtain this speedup, however, the arrays of
Chris@82: complex (or real) data passed to FFTW must be specially aligned in
Chris@82: memory (typically 16-byte aligned), and often this alignment is more
Chris@82: stringent than that provided by the usual malloc
(etc.)
Chris@82: allocation routines.
Chris@82:
In order to guarantee proper alignment for SIMD, therefore, in case
Chris@82: your program is ever linked against a SIMD-using FFTW, we recommend
Chris@82: allocating your transform data with fftw_malloc
and
Chris@82: de-allocating it with fftw_free
.
Chris@82:
Chris@82:
Chris@82: These have exactly the same interface and behavior as
Chris@82: malloc
/free
, except that for a SIMD FFTW they ensure
Chris@82: that the returned pointer has the necessary alignment (by calling
Chris@82: memalign
or its equivalent on your OS).
Chris@82:
You are not required to use fftw_malloc
. You can
Chris@82: allocate your data in any way that you like, from malloc
to
Chris@82: new
(in C++) to a fixed-size array declaration. If the array
Chris@82: happens not to be properly aligned, FFTW will not use the SIMD
Chris@82: extensions.
Chris@82:
Chris@82:
Since fftw_malloc
only ever needs to be used for real and
Chris@82: complex arrays, we provide two convenient wrapper routines
Chris@82: fftw_alloc_real(N)
and fftw_alloc_complex(N)
that are
Chris@82: equivalent to (double*)fftw_malloc(sizeof(double) * N)
and
Chris@82: (fftw_complex*)fftw_malloc(sizeof(fftw_complex) * N)
,
Chris@82: respectively (or their equivalents in other precisions).
Chris@82:
Chris@82: Next: Multi-dimensional Array Format, Previous: Other Important Topics, Up: Other Important Topics [Contents][Index]
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