README 2.9 KB

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  1. ++=================++
  2. || I. Introduction ||
  3. ++=================++
  4. +---------------------
  5. | I.a. What is StarPU?
  6. StarPU is a runtime system that offers support for heterogeneous multicore
  7. machines. While many efforts are devoted to design efficient computation kernels
  8. for those architectures (eg. to implement BLAS kernels on GPUs or on Cell's
  9. SPUs), StarPU not only takes care of offloading such kernels (and implementing
  10. data coherency accross the machine), but it also makes sure the kernels are
  11. executed as efficiently as possible.
  12. +------------------------
  13. | I.b. What StarPU is not
  14. StarPU is not a new langage, and it does not extends existing langages either.
  15. StarPU does not help to write computation kernels.
  16. +---------------------------------
  17. | I.c. (How) Could StarPU help me?
  18. While StarPU will not make it easier to write computation kernels, it does
  19. simplify their actual offloading as StarPU handle most low level aspects
  20. transparently.
  21. Obviously, it is crucial to have efficient kernels, but it must be noted that
  22. the way those kernels are mapped and scheduled onto the computational resources
  23. also affect the overall performance to a great extent.
  24. StarPU is especially helpful when considering multiple heterogeneous processing
  25. resources: statically mapping and synchronizing tasks in such a heterogeneous
  26. environment is already very difficult, making it in a portable way is virtually
  27. impossible. On the other hand, the scheduling capabilities of StarPU makes it
  28. possible to easily exploit all processors at the same time while taking
  29. advantage of their specificities in a portable fashion.
  30. ++==================++
  31. || II. Requirements ||
  32. ++==================++
  33. * make
  34. * gcc (version >= 4.1)
  35. * if CUDA support is enabled
  36. * CUDA (version >= 2.2)
  37. * CUBLAS (version >= 2.2)
  38. * extra requirements for the svn version
  39. * autoconf (version >= 2.60)
  40. * automake
  41. * Remark: It is strongly recommanded that you also install the hwloc library
  42. before installing StarPU. This permits StarPU to actually map the processing
  43. units according to the machine topology. For more details on hwloc, see
  44. http://www.open-mpi.org/projects/hwloc/ .
  45. ++=====================++
  46. || III. Getting StarPU ||
  47. ++=====================++
  48. StarPU is available on https://gforge.inria.fr/projects/starpu/.
  49. It is also possible to access the latest svn version:
  50. $ svn checkout svn://scm.gforge.inria.fr/svn/starpu/trunk/
  51. or via http (DAV):
  52. $ svn checkout https://scm.gforge.inria.fr/svn/starpu/trunk/
  53. ++=============================++
  54. || IV. Building and Installing ||
  55. ++=============================++
  56. +---------------------------
  57. | IV.a. For svn version only
  58. $ ./autogen.sh
  59. +-----------------------
  60. | IV.b. For all versions
  61. $ ./configure
  62. $ make
  63. $ make install
  64. ++============++
  65. || V. Contact ||
  66. ++============++
  67. For any questions regarding StarPU, please contact the starpu-devel
  68. mailing-list at starpu-devel@lists.gforge.inria.fr .