porting work to Maxeler DFE

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build-aux 6cefcf8c2b revert r1973 (it seems like build-aux is a 'standard' name) 15 years ago
doc 918f77005c The push_task_notify method permits to keep the scheduler's structures up to 14 years ago
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include e55f7e46a2 Introduce the notion of task bundles. A task bundle is a set of tasks that the 14 years ago
m4 f7bad4ed84 Add a pkg.m4 file for autogen.sh to successfully generate the configure file on machines which have a crappy version of autotools and pkgconfig 15 years ago
mpi 104d425ea2 fix warnings 14 years ago
src 4e1758ee14 Various fixes for parallel tasks: 14 years ago
tests 8fd1b3f616 Fix some minor warnings 14 years ago
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AUTHORS 46c026a025 Add Nicolas Collin and François Tessier in the authors 14 years ago
COPYING.LGPL fc22dad676 create a trunk/, branches/ and a tags/ directory 16 years ago
ChangeLog e89466adaa feed changelog 14 years ago
Makefile.am e55f7e46a2 Introduce the notion of task bundles. A task bundle is a set of tasks that the 14 years ago
README bef8507d34 explain a bit about the windows build 14 years ago
acinclude.m4 788110e7fc fix SYNC_VAL_COMPARE_AND_SWAP name confusion 15 years ago
autogen.sh 719155db9f copyright fixes 14 years ago
configure.ac a8a4a99fe8 Don't let newer libtool version build a static .lib file: we rather build a dynamic .lib file thanks to the MS-provided lib command 14 years ago
libstarpu.pc.in fdcffc1dcd The hwloc library is used in the public API so we need hwloc.h in case hwloc is 14 years ago

README

++=================++
|| I. Introduction ||
++=================++

+---------------------
| I.a. What is StarPU?

StarPU is a runtime system that offers support for heterogeneous multicore
machines. While many efforts are devoted to design efficient computation kernels
for those architectures (e.g. to implement BLAS kernels on GPUs or on Cell's
SPUs), StarPU not only takes care of offloading such kernels (and implementing
data coherency across the machine), but it also makes sure the kernels are
executed as efficiently as possible.

+------------------------
| I.b. What StarPU is not

StarPU is not a new language, and it does not extends existing languages either.
StarPU does not help to write computation kernels.

+---------------------------------
| I.c. (How) Could StarPU help me?

While StarPU will not make it easier to write computation kernels, it does
simplify their actual offloading as StarPU handle most low level aspects
transparently.

Obviously, it is crucial to have efficient kernels, but it must be noted that
the way those kernels are mapped and scheduled onto the computational resources
also affect the overall performance to a great extent.

StarPU is especially helpful when considering multiple heterogeneous processing
resources: statically mapping and synchronizing tasks in such a heterogeneous
environment is already very difficult, making it in a portable way is virtually
impossible. On the other hand, the scheduling capabilities of StarPU makes it
possible to easily exploit all processors at the same time while taking
advantage of their specificities in a portable fashion.

++==================++
|| II. Requirements ||
++==================++

* make
* gcc (version >= 4.1)
* if CUDA support is enabled
* CUDA (version >= 2.2)
* CUBLAS (version >= 2.2)
* extra requirements for the svn version (we usually use the Debian testing
versions)
* autoconf (version >= 2.60)
* automake
* makeinfo

* Remark: It is strongly recommanded that you also install the hwloc library
before installing StarPU. This permits StarPU to actually map the processing
units according to the machine topology. For more details on hwloc, see
http://www.open-mpi.org/projects/hwloc/ .

++=====================++
|| III. Getting StarPU ||
++=====================++

StarPU is available on https://gforge.inria.fr/projects/starpu/.

The project's SVN repository can be checked out through anonymous
access with the following command(s).

$ svn checkout svn://scm.gforge.inria.fr/svn/starpu/trunk
$ svn checkout --username anonsvn https://scm.gforge.inria.fr/svn/starpu/trunk

The password is 'anonsvn'

++=============================++
|| IV. Building and Installing ||
++=============================++

+---------------------------
| IV.a. For svn version only

$ ./autogen.sh

+-----------------------
| IV.b. For all versions

$ ./configure
$ make
$ make install

+---------------------
| IV.c. Windows build:

StarPU can be built using MinGW or Cygwin. To avoid the cygwin dependency,
we provide MinGW-built binaries. The build process produces libstarpu.dll,
libstarpu.def, and libstarpu.lib, which should be enough to use it from e.g.
Microsoft Visual Studio.

A few details need to be fixed when building StarPU on windows:

- c:\cuda\include\host_defines.h has a bogus CUDARTAPI definition which makes
linking fail completely. Replace the first occurence of

#define CUDARTAPI

with

#ifdef _WIN32
#define CUDARTAPI __stdcall
#else
#define CUDARTAPI
#endif

While at it, you can also comment the __cdecl definition to avoid spurious
warnings.

- If you have a non-english version of windows, use

export LANG=C

else libtool has troubles parsing the translated output of the toolchain.

- libtool is not able to find the libraries automatically, you need to make some
copies:

copy c:\cuda\lib\cuda.lib c:\cuda\lib\libcuda.lib
copy c:\cuda\lib\cudart.lib c:\cuda\lib\libcudart.lib
copy c:\cuda\lib\cublas.lib c:\cuda\lib\libcublas.lib
copy c:\cuda\lib\cufft.lib c:\cuda\lib\libcufft.lib
copy c:\cuda\lib\OpenCL.lib c:\cuda\lib\libOpenCL.lib

++===========++
|| V. Trying ||
++===========++

Some examples ready to run are installed into $prefix/lib/starpu/{examples,mpi}

++=============++
|| VI. Upgrade ||
++=============++

To upgrade your source code from older version (there were quite a few
renamings), use the tools/rename.sh script

++==============++
|| VII. Contact ||
++==============++

For any questions regarding StarPU, please contact the starpu-devel
mailing-list at starpu-devel@lists.gforge.inria.fr .