porting work to Maxeler DFE

Cédric Augonnet 9e9015d718 implement starpu_get_block_elemsize 15 years ago
build-aux f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. 15 years ago
doc f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. 15 years ago
examples c94a373e97 Fix the starpu_sync_data_with_mem API, it is now required to call 15 years ago
include 9e9015d718 implement starpu_get_block_elemsize 15 years ago
mpi 9711586171 fix previous commit 15 years ago
scripts fc22dad676 create a trunk/, branches/ and a tags/ directory 16 years ago
src 9e9015d718 implement starpu_get_block_elemsize 15 years ago
tests c94a373e97 Fix the starpu_sync_data_with_mem API, it is now required to call 15 years ago
tools 480ee416d5 - Cleanup the code managing performance models and per model "debug" files. We 15 years ago
AUTHORS fc22dad676 create a trunk/, branches/ and a tags/ directory 16 years ago
COPYING.LGPL fc22dad676 create a trunk/, branches/ and a tags/ directory 16 years ago
ChangeLog f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. 15 years ago
Makefile.am c3c1b0de02 Introduce the MPI helper lib (enabled with --with-mpi at configure time). 15 years ago
README afbeddc8b3 proofread 16 years ago
acinclude.m4 f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. 15 years ago
configure.ac c3c1b0de02 Introduce the MPI helper lib (enabled with --with-mpi at configure time). 15 years ago
libstarpu.pc.in fc22dad676 create a trunk/, branches/ and a tags/ directory 16 years ago

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).