Chris@82: @node Installation and Customization, Acknowledgments, Upgrading from FFTW version 2, Top Chris@82: @chapter Installation and Customization Chris@82: @cindex installation Chris@82: Chris@82: This chapter describes the installation and customization of FFTW, the Chris@82: latest version of which may be downloaded from Chris@82: @uref{http://www.fftw.org, the FFTW home page}. Chris@82: Chris@82: In principle, FFTW should work on any system with an ANSI C compiler Chris@82: (@code{gcc} is fine). However, planner time is drastically reduced if Chris@82: FFTW can exploit a hardware cycle counter; FFTW comes with cycle-counter Chris@82: support for all modern general-purpose CPUs, but you may need to add a Chris@82: couple of lines of code if your compiler is not yet supported Chris@82: (@pxref{Cycle Counters}). (On Unix, there will be a warning at the end Chris@82: of the @code{configure} output if no cycle counter is found.) Chris@82: @cindex cycle counter Chris@82: @cindex compiler Chris@82: @cindex portability Chris@82: Chris@82: Chris@82: Installation of FFTW is simplest if you have a Unix or a GNU system, Chris@82: such as GNU/Linux, and we describe this case in the first section below, Chris@82: including the use of special configuration options to e.g. install Chris@82: different precisions or exploit optimizations for particular Chris@82: architectures (e.g. SIMD). Compilation on non-Unix systems is a more Chris@82: manual process, but we outline the procedure in the second section. It Chris@82: is also likely that pre-compiled binaries will be available for popular Chris@82: systems. Chris@82: Chris@82: Finally, we describe how you can customize FFTW for particular needs by Chris@82: generating @emph{codelets} for fast transforms of sizes not supported Chris@82: efficiently by the standard FFTW distribution. Chris@82: @cindex codelet Chris@82: Chris@82: @menu Chris@82: * Installation on Unix:: Chris@82: * Installation on non-Unix systems:: Chris@82: * Cycle Counters:: Chris@82: * Generating your own code:: Chris@82: @end menu Chris@82: Chris@82: @c ------------------------------------------------------------ Chris@82: Chris@82: @node Installation on Unix, Installation on non-Unix systems, Installation and Customization, Installation and Customization Chris@82: @section Installation on Unix Chris@82: Chris@82: FFTW comes with a @code{configure} program in the GNU style. Chris@82: Installation can be as simple as: Chris@82: @fpindex configure Chris@82: Chris@82: @example Chris@82: ./configure Chris@82: make Chris@82: make install Chris@82: @end example Chris@82: Chris@82: This will build the uniprocessor complex and real transform libraries Chris@82: along with the test programs. (We recommend that you use GNU Chris@82: @code{make} if it is available; on some systems it is called Chris@82: @code{gmake}.) The ``@code{make install}'' command installs the fftw Chris@82: and rfftw libraries in standard places, and typically requires root Chris@82: privileges (unless you specify a different install directory with the Chris@82: @code{--prefix} flag to @code{configure}). You can also type Chris@82: ``@code{make check}'' to put the FFTW test programs through their paces. Chris@82: If you have problems during configuration or compilation, you may want Chris@82: to run ``@code{make distclean}'' before trying again; this ensures that Chris@82: you don't have any stale files left over from previous compilation Chris@82: attempts. Chris@82: Chris@82: The @code{configure} script chooses the @code{gcc} compiler by default, Chris@82: if it is available; you can select some other compiler with: Chris@82: @example Chris@82: ./configure CC="@r{@i{}}" Chris@82: @end example Chris@82: Chris@82: The @code{configure} script knows good @code{CFLAGS} (C compiler flags) Chris@82: @cindex compiler flags Chris@82: for a few systems. If your system is not known, the @code{configure} Chris@82: script will print out a warning. In this case, you should re-configure Chris@82: FFTW with the command Chris@82: @example Chris@82: ./configure CFLAGS="@r{@i{}}" Chris@82: @end example Chris@82: and then compile as usual. If you do find an optimal set of Chris@82: @code{CFLAGS} for your system, please let us know what they are (along Chris@82: with the output of @code{config.guess}) so that we can include them in Chris@82: future releases. Chris@82: Chris@82: @code{configure} supports all the standard flags defined by the GNU Chris@82: Coding Standards; see the @code{INSTALL} file in FFTW or Chris@82: @uref{http://www.gnu.org/prep/standards/html_node/index.html, the GNU web page}. Chris@82: Note especially @code{--help} to list all flags and Chris@82: @code{--enable-shared} to create shared, rather than static, libraries. Chris@82: @code{configure} also accepts a few FFTW-specific flags, particularly: Chris@82: Chris@82: @itemize @bullet Chris@82: Chris@82: @item Chris@82: @cindex precision Chris@82: @code{--enable-float}: Produces a single-precision version of FFTW Chris@82: (@code{float}) instead of the default double-precision (@code{double}). Chris@82: @xref{Precision}. Chris@82: Chris@82: @item Chris@82: @cindex precision Chris@82: @code{--enable-long-double}: Produces a long-double precision version of Chris@82: FFTW (@code{long double}) instead of the default double-precision Chris@82: (@code{double}). The @code{configure} script will halt with an error Chris@82: message if @code{long double} is the same size as @code{double} on your Chris@82: machine/compiler. @xref{Precision}. Chris@82: Chris@82: @item Chris@82: @cindex precision Chris@82: @code{--enable-quad-precision}: Produces a quadruple-precision version Chris@82: of FFTW using the nonstandard @code{__float128} type provided by Chris@82: @code{gcc} 4.6 or later on x86, x86-64, and Itanium architectures, Chris@82: instead of the default double-precision (@code{double}). The Chris@82: @code{configure} script will halt with an error message if the Chris@82: compiler is not @code{gcc} version 4.6 or later or if @code{gcc}'s Chris@82: @code{libquadmath} library is not installed. @xref{Precision}. Chris@82: Chris@82: @item Chris@82: @cindex threads Chris@82: @code{--enable-threads}: Enables compilation and installation of the Chris@82: FFTW threads library (@pxref{Multi-threaded FFTW}), which provides a Chris@82: simple interface to parallel transforms for SMP systems. By default, Chris@82: the threads routines are not compiled. Chris@82: Chris@82: @item Chris@82: @code{--enable-openmp}: Like @code{--enable-threads}, but using OpenMP Chris@82: compiler directives in order to induce parallelism rather than Chris@82: spawning its own threads directly, and installing an @samp{fftw3_omp} library Chris@82: rather than an @samp{fftw3_threads} library (@pxref{Multi-threaded Chris@82: FFTW}). You can use both @code{--enable-openmp} and @code{--enable-threads} Chris@82: since they compile/install libraries with different names. By default, Chris@82: the OpenMP routines are not compiled. Chris@82: Chris@82: @item Chris@82: @code{--with-combined-threads}: By default, if @code{--enable-threads} Chris@82: is used, the threads support is compiled into a separate library that Chris@82: must be linked in addition to the main FFTW library. This is so that Chris@82: users of the serial library do not need to link the system threads Chris@82: libraries. If @code{--with-combined-threads} is specified, however, Chris@82: then no separate threads library is created, and threads are included Chris@82: in the main FFTW library. This is mainly useful under Windows, where Chris@82: no system threads library is required and inter-library dependencies Chris@82: are problematic. Chris@82: Chris@82: @item Chris@82: @cindex MPI Chris@82: @code{--enable-mpi}: Enables compilation and installation of the FFTW Chris@82: MPI library (@pxref{Distributed-memory FFTW with MPI}), which provides Chris@82: parallel transforms for distributed-memory systems with MPI. (By Chris@82: default, the MPI routines are not compiled.) @xref{FFTW MPI Chris@82: Installation}. Chris@82: Chris@82: @item Chris@82: @cindex Fortran-callable wrappers Chris@82: @code{--disable-fortran}: Disables inclusion of legacy-Fortran Chris@82: wrapper routines (@pxref{Calling FFTW from Legacy Fortran}) in the standard Chris@82: FFTW libraries. These wrapper routines increase the library size by Chris@82: only a negligible amount, so they are included by default as long as Chris@82: the @code{configure} script finds a Fortran compiler on your system. Chris@82: (To specify a particular Fortran compiler @i{foo}, pass Chris@82: @code{F77=}@i{foo} to @code{configure}.) Chris@82: Chris@82: @item Chris@82: @code{--with-g77-wrappers}: By default, when Fortran wrappers are Chris@82: included, the wrappers employ the linking conventions of the Fortran Chris@82: compiler detected by the @code{configure} script. If this compiler is Chris@82: GNU @code{g77}, however, then @emph{two} versions of the wrappers are Chris@82: included: one with @code{g77}'s idiosyncratic convention of appending Chris@82: two underscores to identifiers, and one with the more common Chris@82: convention of appending only a single underscore. This way, the same Chris@82: FFTW library will work with both @code{g77} and other Fortran Chris@82: compilers, such as GNU @code{gfortran}. However, the converse is not Chris@82: true: if you configure with a different compiler, then the Chris@82: @code{g77}-compatible wrappers are not included. By specifying Chris@82: @code{--with-g77-wrappers}, the @code{g77}-compatible wrappers are Chris@82: included in addition to wrappers for whatever Fortran compiler Chris@82: @code{configure} finds. Chris@82: @fpindex g77 Chris@82: Chris@82: @item Chris@82: @code{--with-slow-timer}: Disables the use of hardware cycle counters, Chris@82: and falls back on @code{gettimeofday} or @code{clock}. This greatly Chris@82: worsens performance, and should generally not be used (unless you don't Chris@82: have a cycle counter but still really want an optimized plan regardless Chris@82: of the time). @xref{Cycle Counters}. Chris@82: Chris@82: @item Chris@82: @code{--enable-sse} (single precision), Chris@82: @code{--enable-sse2} (single, double), Chris@82: @code{--enable-avx} (single, double), Chris@82: @code{--enable-avx2} (single, double), Chris@82: @code{--enable-avx512} (single, double), Chris@82: @code{--enable-avx-128-fma}, Chris@82: @code{--enable-kcvi} (single), Chris@82: @code{--enable-altivec} (single), Chris@82: @code{--enable-vsx} (single, double), Chris@82: @code{--enable-neon} (single, double on aarch64), Chris@82: @code{--enable-generic-simd128}, Chris@82: and Chris@82: @code{--enable-generic-simd256}: Chris@82: Chris@82: Enable various SIMD instruction sets. You need compiler that supports Chris@82: the given SIMD extensions, but FFTW will try to detect at runtime Chris@82: whether the CPU supports these extensions. That is, you can compile Chris@82: with@code{--enable-avx} and the code will still run on a CPU without AVX Chris@82: support. Chris@82: Chris@82: @itemize @minus Chris@82: @item Chris@82: These options require a compiler supporting SIMD extensions, and Chris@82: compiler support is always a bit flaky: see the FFTW FAQ for a list of Chris@82: compiler versions that have problems compiling FFTW. Chris@82: @item Chris@82: Because of the large variety of ARM processors and ABIs, FFTW Chris@82: does not attempt to guess the correct @code{gcc} flags for generating Chris@82: NEON code. In general, you will have to provide them on the command line. Chris@82: This command line is known to have worked at least once: Chris@82: @example Chris@82: ./configure --with-slow-timer --host=arm-linux-gnueabi \ Chris@82: --enable-single --enable-neon \ Chris@82: "CC=arm-linux-gnueabi-gcc -march=armv7-a -mfloat-abi=softfp" Chris@82: @end example Chris@82: @end itemize Chris@82: Chris@82: @end itemize Chris@82: Chris@82: @cindex compiler Chris@82: To force @code{configure} to use a particular C compiler @i{foo} Chris@82: (instead of the default, usually @code{gcc}), pass @code{CC=}@i{foo} to the Chris@82: @code{configure} script; you may also need to set the flags via the variable Chris@82: @code{CFLAGS} as described above. Chris@82: @cindex compiler flags Chris@82: Chris@82: @c ------------------------------------------------------------ Chris@82: @node Installation on non-Unix systems, Cycle Counters, Installation on Unix, Installation and Customization Chris@82: @section Installation on non-Unix systems Chris@82: Chris@82: It should be relatively straightforward to compile FFTW even on non-Unix Chris@82: systems lacking the niceties of a @code{configure} script. Basically, Chris@82: you need to edit the @code{config.h} header (copy it from Chris@82: @code{config.h.in}) to @code{#define} the various options and compiler Chris@82: characteristics, and then compile all the @samp{.c} files in the Chris@82: relevant directories. Chris@82: Chris@82: The @code{config.h} header contains about 100 options to set, each one Chris@82: initially an @code{#undef}, each documented with a comment, and most of Chris@82: them fairly obvious. For most of the options, you should simply Chris@82: @code{#define} them to @code{1} if they are applicable, although a few Chris@82: options require a particular value (e.g. @code{SIZEOF_LONG_LONG} should Chris@82: be defined to the size of the @code{long long} type, in bytes, or zero Chris@82: if it is not supported). We will likely post some sample Chris@82: @code{config.h} files for various operating systems and compilers for Chris@82: you to use (at least as a starting point). Please let us know if you Chris@82: have to hand-create a configuration file (and/or a pre-compiled binary) Chris@82: that you want to share. Chris@82: Chris@82: To create the FFTW library, you will then need to compile all of the Chris@82: @samp{.c} files in the @code{kernel}, @code{dft}, @code{dft/scalar}, Chris@82: @code{dft/scalar/codelets}, @code{rdft}, @code{rdft/scalar}, Chris@82: @code{rdft/scalar/r2cf}, @code{rdft/scalar/r2cb}, Chris@82: @code{rdft/scalar/r2r}, @code{reodft}, and @code{api} directories. Chris@82: If you are compiling with SIMD support (e.g. you defined Chris@82: @code{HAVE_SSE2} in @code{config.h}), then you also need to compile Chris@82: the @code{.c} files in the @code{simd-support}, Chris@82: @code{@{dft,rdft@}/simd}, @code{@{dft,rdft@}/simd/*} directories. Chris@82: Chris@82: Once these files are all compiled, link them into a library, or a shared Chris@82: library, or directly into your program. Chris@82: Chris@82: To compile the FFTW test program, additionally compile the code in the Chris@82: @code{libbench2/} directory, and link it into a library. Then compile Chris@82: the code in the @code{tests/} directory and link it to the Chris@82: @code{libbench2} and FFTW libraries. To compile the @code{fftw-wisdom} Chris@82: (command-line) tool (@pxref{Wisdom Utilities}), compile Chris@82: @code{tools/fftw-wisdom.c} and link it to the @code{libbench2} and FFTW Chris@82: libraries Chris@82: Chris@82: @c ------------------------------------------------------------ Chris@82: @node Cycle Counters, Generating your own code, Installation on non-Unix systems, Installation and Customization Chris@82: @section Cycle Counters Chris@82: @cindex cycle counter Chris@82: Chris@82: FFTW's planner actually executes and times different possible FFT Chris@82: algorithms in order to pick the fastest plan for a given @math{n}. In Chris@82: order to do this in as short a time as possible, however, the timer must Chris@82: have a very high resolution, and to accomplish this we employ the Chris@82: hardware @dfn{cycle counters} that are available on most CPUs. Chris@82: Currently, FFTW supports the cycle counters on x86, PowerPC/POWER, Alpha, Chris@82: UltraSPARC (SPARC v9), IA64, PA-RISC, and MIPS processors. Chris@82: Chris@82: @cindex compiler Chris@82: Access to the cycle counters, unfortunately, is a compiler and/or Chris@82: operating-system dependent task, often requiring inline assembly Chris@82: language, and it may be that your compiler is not supported. If you are Chris@82: @emph{not} supported, FFTW will by default fall back on its estimator Chris@82: (effectively using @code{FFTW_ESTIMATE} for all plans). Chris@82: @ctindex FFTW_ESTIMATE Chris@82: Chris@82: You can add support by editing the file @code{kernel/cycle.h}; normally, Chris@82: this will involve adapting one of the examples already present in order Chris@82: to use the inline-assembler syntax for your C compiler, and will only Chris@82: require a couple of lines of code. Anyone adding support for a new Chris@82: system to @code{cycle.h} is encouraged to email us at @email{fftw@@fftw.org}. Chris@82: Chris@82: If a cycle counter is not available on your system (e.g. some embedded Chris@82: processor), and you don't want to use estimated plans, as a last resort Chris@82: you can use the @code{--with-slow-timer} option to @code{configure} (on Chris@82: Unix) or @code{#define WITH_SLOW_TIMER} in @code{config.h} (elsewhere). Chris@82: This will use the much lower-resolution @code{gettimeofday} function, or even Chris@82: @code{clock} if the former is unavailable, and planning will be Chris@82: extremely slow. Chris@82: Chris@82: @c ------------------------------------------------------------ Chris@82: @node Generating your own code, , Cycle Counters, Installation and Customization Chris@82: @section Generating your own code Chris@82: @cindex code generator Chris@82: Chris@82: The directory @code{genfft} contains the programs that were used to Chris@82: generate FFTW's ``codelets,'' which are hard-coded transforms of small Chris@82: sizes. Chris@82: @cindex codelet Chris@82: We do not expect casual users to employ the generator, which is a rather Chris@82: sophisticated program that generates directed acyclic graphs of FFT Chris@82: algorithms and performs algebraic simplifications on them. It was Chris@82: written in Objective Caml, a dialect of ML, which is available at Chris@82: @uref{http://caml.inria.fr/ocaml/index.en.html}. Chris@82: @cindex Caml Chris@82: Chris@82: Chris@82: If you have Objective Caml installed (along with recent versions of Chris@82: GNU @code{autoconf}, @code{automake}, and @code{libtool}), then you Chris@82: can change the set of codelets that are generated or play with the Chris@82: generation options. The set of generated codelets is specified by the Chris@82: @code{@{dft,rdft@}/@{codelets,simd@}/*/Makefile.am} files. For example, you can add Chris@82: efficient REDFT codelets of small sizes by modifying Chris@82: @code{rdft/codelets/r2r/Makefile.am}. Chris@82: @cindex REDFT Chris@82: After you modify any @code{Makefile.am} files, you can type @code{sh Chris@82: bootstrap.sh} in the top-level directory followed by @code{make} to Chris@82: re-generate the files. Chris@82: Chris@82: We do not provide more details about the code-generation process, since Chris@82: we do not expect that most users will need to generate their own code. Chris@82: However, feel free to contact us at @email{fftw@@fftw.org} if Chris@82: you are interested in the subject. Chris@82: Chris@82: @cindex monadic programming Chris@82: You might find it interesting to learn Caml and/or some modern Chris@82: programming techniques that we used in the generator (including monadic Chris@82: programming), especially if you heard the rumor that Java and Chris@82: object-oriented programming are the latest advancement in the field. Chris@82: The internal operation of the codelet generator is described in the Chris@82: paper, ``A Fast Fourier Transform Compiler,'' by M. Frigo, which is Chris@82: available from the @uref{http://www.fftw.org,FFTW home page} and also Chris@82: appeared in the @cite{Proceedings of the 1999 ACM SIGPLAN Conference on Chris@82: Programming Language Design and Implementation (PLDI)}. Chris@82: