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porting work to Maxeler DFE

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Cédric Augonnet 92c6d51fb0 add a test to make sure that starpu_create_sync_task is working properly %!s(int64=16) %!d(string=hai) anos
build-aux f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. %!s(int64=16) %!d(string=hai) anos
doc f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. %!s(int64=16) %!d(string=hai) anos
examples 1c9e738133 - rename MAXNODES into STARPU_MAXNODES. %!s(int64=16) %!d(string=hai) anos
include b3b1dc5ad0 The starpu_create_sync_task helper function creates an empty task which is a %!s(int64=16) %!d(string=hai) anos
mpi d9661118a4 By default, the MPI lib will not create a progression thread to poll all the %!s(int64=16) %!d(string=hai) anos
scripts fc22dad676 create a trunk/, branches/ and a tags/ directory %!s(int64=17) %!d(string=hai) anos
src b3b1dc5ad0 The starpu_create_sync_task helper function creates an empty task which is a %!s(int64=16) %!d(string=hai) anos
tests 92c6d51fb0 add a test to make sure that starpu_create_sync_task is working properly %!s(int64=16) %!d(string=hai) anos
tools cab40d4920 Make it possible to specify multiple input files in a more flexible way (eg. %!s(int64=16) %!d(string=hai) anos
AUTHORS 65931ca292 Welcome to our recent contributors :) %!s(int64=16) %!d(string=hai) anos
COPYING.LGPL fc22dad676 create a trunk/, branches/ and a tags/ directory %!s(int64=17) %!d(string=hai) anos
ChangeLog f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. %!s(int64=16) %!d(string=hai) anos
Makefile.am c3c1b0de02 Introduce the MPI helper lib (enabled with --with-mpi at configure time). %!s(int64=16) %!d(string=hai) anos
README 6444979fdf create autogen.sh to call autoreconf with the proper parameters %!s(int64=16) %!d(string=hai) anos
acinclude.m4 f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. %!s(int64=16) %!d(string=hai) anos
autogen.sh 6444979fdf create autogen.sh to call autoreconf with the proper parameters %!s(int64=16) %!d(string=hai) anos
configure.ac 263464ee51 From now on, the default behaviour is to put performance models in %!s(int64=16) %!d(string=hai) anos
libstarpu.pc.in fc22dad676 create a trunk/, branches/ and a tags/ directory %!s(int64=17) %!d(string=hai) anos

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 (eg. to implement BLAS kernels on GPUs or on Cell's
SPUs), StarPU not only takes care of offloading such kernels (and implementing
data coherency accross 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 langage, and it does not extends existing langages 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 >= 2.0)
* CUBLAS (version >= 2.0)
* extra requirements for the svn version
* autoconf (version >= 2.60)
* automake

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

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

It is also possible to access the latest svn version:
$ svn checkout svn://scm.gforge.inria.fr/svn/starpu/trunk/
or via http (DAV):
$ svn checkout https://scm.gforge.inria.fr/svn/starpu/trunk/

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

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

$ ./autogen.sh

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

$ ./configure
$ make
$ make install

++============++
|| V. Contact ||
++============++

For any questions regarding StarPU, please contact Cédric Augonnet
(cedric.augonnet@inria.fr).