porting work to Maxeler DFE

Cédric Augonnet 5eb8e90d22 Get ready for StarPU 0.2 ... il y a 16 ans
build-aux 5f681d3938 remove file that autoreconf can install by itself il y a 16 ans
doc 2d85f60494 Fix some typos in the documentation (thanks to Olivier Aumage for that patch) il y a 16 ans
examples c41968e0c0 minor fix: remove a useless header il y a 16 ans
include 407c0fa3dc some systems don't have memalign il y a 16 ans
scripts fc22dad676 create a trunk/, branches/ and a tags/ directory il y a 17 ans
src 51d00b2d26 Protect data header with a starpu_spinlock_t instead of a pthread_spinlock_t. il y a 16 ans
tests 395d7cbd95 Include the dynamically loaded ELF code in the distribution. il y a 16 ans
tools cee209b7e4 Display the number of tasks available to the scheduler in the Paje trace. il y a 16 ans
AUTHORS fc22dad676 create a trunk/, branches/ and a tags/ directory il y a 17 ans
COPYING.LGPL fc22dad676 create a trunk/, branches/ and a tags/ directory il y a 17 ans
Makefile.am ec8baec6b1 Do not reimplement spinlocks, use pthread_spin_t instead. il y a 17 ans
README afbeddc8b3 proofread il y a 17 ans
acinclude.m4 446f18f835 test if __sync_* GCC built-in are available il y a 17 ans
configure.ac 5eb8e90d22 Get ready for StarPU 0.2 ... il y a 16 ans
libstarpu.pc.in fc22dad676 create a trunk/, branches/ and a tags/ directory il y a 17 ans

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

$ 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).