ChangeLog 5.9 KB

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  1. # StarPU --- Runtime system for heterogeneous multicore architectures.
  2. #
  3. # Copyright (C) 2009, 2010, 2011 Université de Bordeaux 1
  4. # Copyright (C) 2010, 2011 Centre National de la Recherche Scientifique
  5. #
  6. # StarPU is free software; you can redistribute it and/or modify
  7. # it under the terms of the GNU Lesser General Public License as published by
  8. # the Free Software Foundation; either version 2.1 of the License, or (at
  9. # your option) any later version.
  10. #
  11. # StarPU is distributed in the hope that it will be useful, but
  12. # WITHOUT ANY WARRANTY; without even the implied warranty of
  13. # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
  14. #
  15. # See the GNU Lesser General Public License in COPYING.LGPL for more details.
  16. StarPU 1.0 (svn revision xxxx)
  17. ==============================================
  18. The extensions-again release
  19. * Applications can provide several implementations of a codelet for
  20. the same architecture.
  21. * A new multi-format interface permits to use different binary
  22. formats on CPUs & GPUs, the conversion functions being provided by
  23. the application and called by StarPU as needed (and as less as
  24. possible).
  25. * Add a gcc plugin to extend the C interface with pragmas which
  26. allow to easily define codelets and issue tasks.
  27. * Add codelet execution time statistics plot.
  28. * Add bus speed in starpu_machine_display.
  29. * Add a StarPU-Top feedback and steering interface.
  30. * Documentation improvement.
  31. * Add a STARPU_DATA_ACQUIRE_CB which permits to inline the code to
  32. be done.
  33. * Permit to specify MPI tags for more efficient starpu_mpi_insert_task
  34. * Add SOCL, an OpenCL interface on top of StarPU.
  35. * Add gdb functions.
  36. * Add complex support to LU example.
  37. * Add an OpenMP fork-join example.
  38. * Some types were renamed for consistency. The tools/dev/rename.sh
  39. script can be used to port code using former names. You can also
  40. choose to include starpu_deprecated_api.h (after starpu.h) to keep
  41. using the old types.
  42. StarPU 0.9 (svn revision 3721)
  43. ==============================================
  44. The extensions release
  45. * Provide the STARPU_REDUX data access mode
  46. * Externalize the scheduler API.
  47. * Add theoretical bound computation
  48. * Add the void interface
  49. * Add power consumption optimization
  50. * Add parallel task support
  51. * Add starpu_mpi_insert_task
  52. * Add profiling information interface.
  53. * Add STARPU_LIMIT_GPU_MEM environment variable.
  54. * OpenCL fixes
  55. * MPI fixes
  56. * Improve optimization documentation
  57. * Upgrade to hwloc 1.1 interface
  58. * Add fortran example
  59. * Add mandelbrot OpenCL example
  60. * Add cg example
  61. * Add stencil MPI example
  62. * Initial support for CUDA4
  63. StarPU 0.4 (svn revision 2535)
  64. ==============================================
  65. The API strengthening release
  66. * Major API improvements
  67. - Provide the STARPU_SCRATCH data access mode
  68. - Rework data filter interface
  69. - Rework data interface structure
  70. - A script that automatically renames old functions to accomodate with the new
  71. API is available from https://scm.gforge.inria.fr/svn/starpu/scripts/renaming
  72. (login: anonsvn, password: anonsvn)
  73. * Implement dependencies between task directly (eg. without tags)
  74. * Implicit data-driven task dependencies simplifies the design of
  75. data-parallel algorithms
  76. * Add dynamic profiling capabilities
  77. - Provide per-task feedback
  78. - Provide per-worker feedback
  79. - Provide feedback about memory transfers
  80. * Provide a library to help accelerating MPI applications
  81. * Improve data transfers overhead prediction
  82. - Transparently benchmark buses to generate performance models
  83. - Bind accelerator-controlling threads with respect to NUMA locality
  84. * Improve StarPU's portability
  85. - Add OpenCL support
  86. - Add support for Windows
  87. StarPU 0.2.901 aka 0.3-rc1 (svn revision 1236)
  88. ==============================================
  89. The asynchronous heterogeneous multi-accelerator release
  90. * Many API changes and code cleanups
  91. - Implement starpu_worker_get_id
  92. - Implement starpu_worker_get_name
  93. - Implement starpu_worker_get_type
  94. - Implement starpu_worker_get_count
  95. - Implement starpu_display_codelet_stats
  96. - Implement starpu_data_prefetch_on_node
  97. - Expose the starpu_data_set_wt_mask function
  98. * Support nvidia (heterogeneous) multi-GPU
  99. * Add the data request mechanism
  100. - All data transfers use data requests now
  101. - Implement asynchronous data transfers
  102. - Implement prefetch mechanism
  103. - Chain data requests to support GPU->RAM->GPU transfers
  104. * Make it possible to bypass the scheduler and to assign a task to a specific
  105. worker
  106. * Support restartable tasks to reinstanciate dependencies task graphs
  107. * Improve performance prediction
  108. - Model data transfer overhead
  109. - One model is created for each accelerator
  110. * Support for CUDA's driver API is deprecated
  111. * The STARPU_WORKERS_CUDAID and STARPU_WORKERS_CPUID env. variables make it possible to
  112. specify where to bind the workers
  113. * Use the hwloc library to detect the actual number of cores
  114. StarPU 0.2.0 (svn revision 1013)
  115. ==============================================
  116. The Stabilizing-the-Basics release
  117. * Various API cleanups
  118. * Mac OS X is supported now
  119. * Add dynamic code loading facilities onto Cell's SPUs
  120. * Improve performance analysis/feedback tools
  121. * Application can interact with StarPU tasks
  122. - The application may access/modify data managed by the DSM
  123. - The application may wait for the termination of a (set of) task(s)
  124. * An initial documentation is added
  125. * More examples are supplied
  126. StarPU 0.1.0 (svn revision 794)
  127. ==============================================
  128. First release.
  129. Status:
  130. * Only supports Linux platforms yet
  131. * Supported architectures
  132. - multicore CPUs
  133. - NVIDIA GPUs (with CUDA 2.x)
  134. - experimental Cell/BE support
  135. Changes:
  136. * Scheduling facilities
  137. - run-time selection of the scheduling policy
  138. - basic auto-tuning facilities
  139. * Software-based DSM
  140. - transparent data coherency management
  141. - High-level expressive interface