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porting work to Maxeler DFE

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starpu-max
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Cédric Augonnet 99813e9fe2 - Start to document data management %!s(int64=16) %!d(string=hai) anos
build-aux f33fc377f9 Get rid of the starpu-async branch where all recent changes have been made. %!s(int64=16) %!d(string=hai) anos
doc 99813e9fe2 - Start to document data management %!s(int64=16) %!d(string=hai) anos
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include ebe7bcc0c7 Use CUDA to translate CUDA errors into strings rather than doing it by hand. %!s(int64=16) %!d(string=hai) anos
mpi 7285889703 Follow-up to commit r1803 %!s(int64=16) %!d(string=hai) anos
scripts fc22dad676 create a trunk/, branches/ and a tags/ directory %!s(int64=17) %!d(string=hai) anos
src 354725247a Some structure field had the same name as a function, for the sake of %!s(int64=16) %!d(string=hai) anos
tests 0984a29d6c Partially revert commit 1750: starpu_tag_declare_deps _is_ a public function. %!s(int64=16) %!d(string=hai) anos
tools be3f9c53e0 Add include directory for common/config.h %!s(int64=16) %!d(string=hai) anos
AUTHORS 65931ca292 Welcome to our recent contributors :) %!s(int64=16) %!d(string=hai) anos
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ChangeLog 880223cf93 s/STARPU_WORKERS_GPUID/STARPU_WORKERS_CUDAID/g - Let's get ready for OpenCL driver %!s(int64=16) %!d(string=hai) anos
Makefile.am 89c1870f00 Define a new header which should contain the public functions that should only %!s(int64=16) %!d(string=hai) anos
README 84014a95ad StarPU is using some features that were introduced in CUDA 2.2 (eg. portable %!s(int64=16) %!d(string=hai) anos
acinclude.m4 788110e7fc fix SYNC_VAL_COMPARE_AND_SWAP name confusion %!s(int64=16) %!d(string=hai) anos
autogen.sh 6444979fdf create autogen.sh to call autoreconf with the proper parameters %!s(int64=16) %!d(string=hai) anos
configure.ac c5c8236915 - Test whether the CUDA setup supports recent features (eg portable pinned memory). %!s(int64=16) %!d(string=hai) anos
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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 >= 2.2)
* CUBLAS (version >= 2.2)
* 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

$ ./autogen.sh

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

$ ./configure
$ make
$ make install

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

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