porting work to Maxeler DFE

Cédric Augonnet d247fadc97 add a -display flag 16 anni fa
build-aux f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. 16 anni fa
doc f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. 16 anni fa
examples 395d4f8c66 - Add timing in the incrementer example. 16 anni fa
include 3bfae32576 define a poison value to help debugging 16 anni fa
mpi d247fadc97 add a -display flag 16 anni fa
scripts fc22dad676 create a trunk/, branches/ and a tags/ directory 17 anni fa
src 6279da10bf Add a callback to the empty task created by starpu_create_sync_task. 16 anni fa
tests 395d4f8c66 - Add timing in the incrementer example. 16 anni fa
tools cab40d4920 Make it possible to specify multiple input files in a more flexible way (eg. 16 anni fa
AUTHORS 65931ca292 Welcome to our recent contributors :) 16 anni fa
COPYING.LGPL fc22dad676 create a trunk/, branches/ and a tags/ directory 17 anni fa
ChangeLog f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. 16 anni fa
Makefile.am c3c1b0de02 Introduce the MPI helper lib (enabled with --with-mpi at configure time). 16 anni fa
README 6444979fdf create autogen.sh to call autoreconf with the proper parameters 16 anni fa
acinclude.m4 f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. 16 anni fa
autogen.sh 6444979fdf create autogen.sh to call autoreconf with the proper parameters 16 anni fa
configure.ac 681fcbb676 make sure that nvcc finds cuda headers 16 anni fa
libstarpu.pc.in fc22dad676 create a trunk/, branches/ and a tags/ directory 17 anni fa

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).