Building » History » Revision 8
Revision 7 (Anonymous, 01/25/2016 12:33 PM) → Revision 8/17 (Anonymous, 01/25/2016 12:41 PM)
h1. Building
Quick guide for users on 100% compatible systems
We assume that you have successfully downloaded and unpacked the package, possibly including 3rd-party packages in sphinx/sxaccelerate/3rd-party/packages/ .
Please make sure that CPU throttling is deactivated when compiling (specifically: ATLAS!).
<pre>
cd sphinx
./setup
./configure --disable-debug
make all
make install
</pre>
If this does not work, please read the rest of this page.
You may want to run the [[testbed]] after compilation.
h2. Prerequisites
* C++ compiler
* automake
* libtool
* flex, bison
* Additional libraries (see also 3rd-party packages)
** BLAS+LAPACK library
*** ATLAS+LAPACK or
*** mkl or
*** acml or
*** libGOTO or
*** ESSL
** FFT library
*** FFTW (recommended)
*** ACML (we encountered many bugs...)
** netCDF
| CentOS 5.6 | yum install gcc44-c++ gcc44-gfortran automake libtool flex bison |
| Fedora 15 | yum install gcc-c++, gcc-gfortran, automake, libtool, flex, bison |
| Debian 6 | apt-get install g++ gfortran automake libtool flex bison |
| MacOS X 10.6 | X-Code (install from Apple installation DVD) |
| Windows | port in progress..|
Known issues with specific systems
See here
Please make sure that CPU throttling is deactivated when compiling the third-party libraries (specifically: ATLAS!).
Building
Depending on the scope of your work with S/PHI/nX please choose the best fitting building approach:
| | Users | Testers | Developers |
| build S/PHI/nX release |once | once | frequently |
| build S/PHI/nX debug | | once | frequently|
| build SxAccelerate | | | once - frequently |
| build numlibs | | | once - rarely |
* On machines with N CPUs: you may use parallel make via make -j 2N
h2. configure options (selection)
| --disable-atlas --disable-lapack --enable-mkl --with-mklpath=... | use MKL for BLAS/LAPACK (support for selected versions) |
| --disable-atlas --disable-lapack --enable-acml | use ACML for BLAS/LAPACK |
| --enable-mpi | compile MPI version (experimental) |
| --enable-openmp | compile using openmp, try to use openmp numerical libraries (experimental) |
| --with-numlibs=... | all external numerical libraries can be found in these paths (/path/1/:/path/2/:/path/3/) |
| --without-numlibs | external numerical libraries can be found in standard paths or via specified LDFLAGS and CPPFLAGS |
| CXX=... | set C++ compiler |
| CXXFLAGS=... | set additional C++ compiler flags |
| LDFLAGS=... | set additional linker flags (see compiler/linker docu) |
|CPPFLAGS=... | set additional preparser flags (see compiler docu) |
|CPPFLAGS='-I...' | set additional search path for external includes |
h2. S/PHI/nX users
(Build S/PHI/nX only once to create an optimized executable.)
# cd sphinx
# ./setup
# ./configure --disable-debug --prefix=/instpath/to/sphinx
# make all install
If --prefix=/instpath/to/sphinx is omitted, SPHInX will be installed into the current directory.
h2. S/PHI/nX test users
(Build S/PHI/nX in debug and release only once to create an optimized executable as well as a version that can generate a memory core file.)
# cd sphinx
# ./setup
# ./configure --prefix=/instpath/to/sphinx --with-debug --with-release
# make all install
Read more about [[being a S/PHI/nX alpha tester]].
h2. S/PHI/nX developers
(Suitable for developers)
h2. Easy build instructions
* As a simple alternative, you may use the build instruction for test users.
* Properly configured build directories for debug and release mode will be found as subdirectories in sphinx/sxaccelerate/ and sphinx/, respectively.
* While developing, there is no need to install (make all install -> make all).
* You can compile all build directories by a top-level make, ...
* ... but also each build directory separately (but beware: when changes are made in sxaccelerate, you typically need to rebuild sxaccelerate first, and then sphinx!).
* For developers, we recommend to build the external libraries separately, as described in the following. Precompiled numlibs avoid repeated installation of the numlibs when top-level make is invoked, and can be reused for concurrent SPHInX versions.
* use parallel make (make -j ...)
*use top-level sxmake wrapper instead of make
h2. Advanced build instructions
p(. 1.
# cd sphinx
2. # ./setup
3. # Possibly switch to a separate build directory (on a local file system)
<pre>
mkdir -p /build/path/sphinx
mkdir -p /build/path/sphinx/sxaccelerate/3rd-party
cd /build/path/sphinx
</pre>
p(.
If a build path is used, replace ./configure by the corresponding absolute filenames to the configure scripts in the source tree.
p(. 4. Building 3rd-party numeric libraries
# * cd sxaccelerate/3rd-party sxaccelerate/3rd-party.
# * ./configure --prefix=/instpath/to/numlibs
where /instpath/to/numlibs refers to the folder where the compiled libraries will be installed in.
# * make all install install.
# * cd ../..
# * optionally clean up:
rm -rf sxaccelerate/3rd-party
p(.
If --prefix=/instpath/to/numlibs is omitted, numlibs will be installed in sxaccelerate/3rd-party (NO CLEANUP!)
p(. 5.
Compile S/PHI/nX
#
./setup
# ./configure --prefix=/instpath/to/sphinx --with-debug --with-release --with-numlibs=/instpath/to/numlibs
# where /instpath/to/sxaccelerate is where the libraries and headers will be installed to.
# make