| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990 | ++=================++|| I. Introduction ||++=================+++---------------------| I.a. What is StarPU?StarPU is a runtime system that offers support for heterogeneous multicoremachines. While many efforts are devoted to design efficient computation kernelsfor those architectures (e.g. to implement BLAS kernels on GPUs or on Cell'sSPUs), StarPU not only takes care of offloading such kernels (and implementingdata coherency across the machine), but it also makes sure the kernels areexecuted as efficiently as possible.+------------------------| I.b. What StarPU is notStarPU is not a new language, and it does not extends existing languages 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 doessimplify their actual offloading as StarPU handle most low level aspectstransparently.Obviously, it is crucial to have efficient kernels, but it must be noted thatthe way those kernels are mapped and scheduled onto the computational resourcesalso affect the overall performance to a great extent.StarPU is especially helpful when considering multiple heterogeneous processingresources: statically mapping and synchronizing tasks in such a heterogeneousenvironment is already very difficult, making it in a portable way is virtuallyimpossible. On the other hand, the scheduling capabilities of StarPU makes itpossible to easily exploit all processors at the same time while takingadvantage 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 * Remark: It is strongly recommanded that you also install the hwloc library   before installing StarPU. This permits StarPU to actually map the processing   units according to the machine topology. For more details on hwloc, see   http://www.open-mpi.org/projects/hwloc/ .++=====================++|| 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 the starpu-develmailing-list at starpu-devel@lists.gforge.inria.fr .
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