porting work to Maxeler DFE

Cédric Augonnet f57eac1713 the sync_and_notify_data test cannot be executed by SPUs yet. 17 anni fa
build-aux fc22dad676 create a trunk/, branches/ and a tags/ directory 17 anni fa
examples 730753af17 Just make sure the examples will compile even if some kernels are missing 17 anni fa
include be96bbdccc include the configuration header in all public headers 17 anni fa
scripts fc22dad676 create a trunk/, branches/ and a tags/ directory 17 anni fa
src f43cd31e96 include a missing config.h file 17 anni fa
tests f57eac1713 the sync_and_notify_data test cannot be executed by SPUs yet. 17 anni fa
tools 470b7344ee add a script that takes model debug file (use --enable-model-debug) and 17 anni fa
AUTHORS fc22dad676 create a trunk/, branches/ and a tags/ directory 17 anni fa
COPYING.LGPL fc22dad676 create a trunk/, branches/ and a tags/ directory 17 anni fa
Makefile.am fc22dad676 create a trunk/, branches/ and a tags/ directory 17 anni fa
README b321c134a8 marketting ... 17 anni fa
acinclude.m4 446f18f835 test if __sync_* GCC built-in are available 17 anni fa
configure.ac 14a1ca0c43 use pthread_setaffinity_np instead of sched_setaffinity 17 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 to offload such kernels (and to implement
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 very difficult, but 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

$ autoreconf

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

$ ./configure
$ make
$ make install

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

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