porting work to Maxeler DFE

Cédric Augonnet e2b6034f4f add some texinfo doc skeleton před 16 roky
build-aux fc22dad676 create a trunk/, branches/ and a tags/ directory před 16 roky
doc e2b6034f4f add some texinfo doc skeleton před 16 roky
examples a259852f5e remove --coverage's output when cleaning up před 16 roky
include be96bbdccc include the configuration header in all public headers před 16 roky
scripts fc22dad676 create a trunk/, branches/ and a tags/ directory před 16 roky
src a259852f5e remove --coverage's output when cleaning up před 16 roky
tests a259852f5e remove --coverage's output when cleaning up před 16 roky
tools a259852f5e remove --coverage's output when cleaning up před 16 roky
AUTHORS fc22dad676 create a trunk/, branches/ and a tags/ directory před 16 roky
COPYING.LGPL fc22dad676 create a trunk/, branches/ and a tags/ directory před 16 roky
Makefile.am e2b6034f4f add some texinfo doc skeleton před 16 roky
README b321c134a8 marketting ... před 16 roky
acinclude.m4 446f18f835 test if __sync_* GCC built-in are available před 16 roky
configure.ac e2b6034f4f add some texinfo doc skeleton před 16 roky
libstarpu.pc.in fc22dad676 create a trunk/, branches/ and a tags/ directory před 16 roky

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).