porting work to Maxeler DFE

Cédric Augonnet 3cad2c6bbb The src and dst nodes were inverted in the matrices 15 gadi atpakaļ
build-aux f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. 15 gadi atpakaļ
doc f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. 15 gadi atpakaļ
examples 5c984e9279 make sure that FFTW is available for the starpufft lib 15 gadi atpakaļ
include 20420637e6 starpu_wait_all_tasks and starpu_wait_task are blocking too. 15 gadi atpakaļ
scripts fc22dad676 create a trunk/, branches/ and a tags/ directory 16 gadi atpakaļ
src bcd9c67fc4 Fix debug assertions, it is possible that no request is associated to a data 15 gadi atpakaļ
tests 485ce7b82f cudaMemset only fills one byte at a time, so we use a char array instead of an 15 gadi atpakaļ
tools 3cad2c6bbb The src and dst nodes were inverted in the matrices 15 gadi atpakaļ
AUTHORS fc22dad676 create a trunk/, branches/ and a tags/ directory 16 gadi atpakaļ
COPYING.LGPL fc22dad676 create a trunk/, branches/ and a tags/ directory 16 gadi atpakaļ
ChangeLog f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. 15 gadi atpakaļ
Makefile.am ec8baec6b1 Do not reimplement spinlocks, use pthread_spin_t instead. 16 gadi atpakaļ
README afbeddc8b3 proofread 16 gadi atpakaļ
acinclude.m4 f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. 15 gadi atpakaļ
configure.ac 9e1bd3857d Make it possible to select the maximum number of buffers per task at configure 15 gadi atpakaļ
libstarpu.pc.in fc22dad676 create a trunk/, branches/ and a tags/ directory 16 gadi atpakaļ

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).