ChangeLog 7.7 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, 2012 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. * Increase default value for STARPU_MAXCPUS -- Maximum number of
  20. CPUs supported -- to 64.
  21. * The GCC plug-in extension now generates code that aborts when
  22. `starpu_init' fails.
  23. * Libtool interface versioning has been included in libraries names
  24. (libstarpu-1.0.so, libstarpumpi-1.0.so and
  25. libstarpufft-1.0.so)
  26. * Enable by default the SOCL extension.
  27. * Enable by default the GCC plug-in extension.
  28. * Add a field named magic to struct starpu_task which is set when
  29. initialising the task. starpu_task_submit will fail if the
  30. field does not have the right value. This will hence avoid
  31. submitting tasks which have not been properly initialised.
  32. * Make where field for struct starpu_codelet optional. When unset, its
  33. value will be automatically set based on the availability of the
  34. different XXX_funcs fields of the codelet.
  35. * Add a hook function pre_exec_hook in struct starpu_sched_policy.
  36. The function is meant to be called in drivers. Schedulers
  37. can use it to be notified when a task is about being computed.
  38. * Define access modes for data handles into starpu_codelet and no longer
  39. in starpu_task. Hence mark (struct starpu_task).buffers as
  40. deprecated, and add (struct starpu_task).handles and (struct
  41. starpu_codelet).modes
  42. * Install headers under $includedir/starpu/1.0.
  43. * Deprecate cost_model, and introduce cost_function, which is provided
  44. with the whole task structure, the target arch and implementation
  45. number
  46. * Permit the application to provide its own size base for performance
  47. models
  48. * Fields xxx_func of struct starpu_codelet are made deprecated. One
  49. should use instead fields xxx_funcs.
  50. * Applications can provide several implementations of a codelet for the
  51. same architecture.
  52. * A new multi-format interface permits to use different binary formats
  53. on CPUs & GPUs, the conversion functions being provided by the
  54. application and called by StarPU as needed (and as less as
  55. possible).
  56. * Add a gcc plugin to extend the C interface with pragmas which allows to
  57. easily define codelets and issue tasks.
  58. * Add codelet execution time statistics plot.
  59. * Add bus speed in starpu_machine_display.
  60. * Add a StarPU-Top feedback and steering interface.
  61. * Documentation improvement.
  62. * Add a STARPU_DATA_ACQUIRE_CB which permits to inline the code to be
  63. done.
  64. * Permit to specify MPI tags for more efficient starpu_mpi_insert_task
  65. * Add SOCL, an OpenCL interface on top of StarPU.
  66. * Add gdb functions.
  67. * Add complex support to LU example.
  68. * Add an OpenMP fork-join example.
  69. * Permit to use the same data several times in write mode in the
  70. parameters of the same task.
  71. * Some types were renamed for consistency. The tools/dev/rename.sh
  72. script can be used to port code using former names. You can also
  73. choose to include starpu_deprecated_api.h (after starpu.h) to keep
  74. using the old types.
  75. StarPU 0.9 (svn revision 3721)
  76. ==============================================
  77. The extensions release
  78. * Provide the STARPU_REDUX data access mode
  79. * Externalize the scheduler API.
  80. * Add theoretical bound computation
  81. * Add the void interface
  82. * Add power consumption optimization
  83. * Add parallel task support
  84. * Add starpu_mpi_insert_task
  85. * Add profiling information interface.
  86. * Add STARPU_LIMIT_GPU_MEM environment variable.
  87. * OpenCL fixes
  88. * MPI fixes
  89. * Improve optimization documentation
  90. * Upgrade to hwloc 1.1 interface
  91. * Add fortran example
  92. * Add mandelbrot OpenCL example
  93. * Add cg example
  94. * Add stencil MPI example
  95. * Initial support for CUDA4
  96. StarPU 0.4 (svn revision 2535)
  97. ==============================================
  98. The API strengthening release
  99. * Major API improvements
  100. - Provide the STARPU_SCRATCH data access mode
  101. - Rework data filter interface
  102. - Rework data interface structure
  103. - A script that automatically renames old functions to accomodate with the new
  104. API is available from https://scm.gforge.inria.fr/svn/starpu/scripts/renaming
  105. (login: anonsvn, password: anonsvn)
  106. * Implement dependencies between task directly (eg. without tags)
  107. * Implicit data-driven task dependencies simplifies the design of
  108. data-parallel algorithms
  109. * Add dynamic profiling capabilities
  110. - Provide per-task feedback
  111. - Provide per-worker feedback
  112. - Provide feedback about memory transfers
  113. * Provide a library to help accelerating MPI applications
  114. * Improve data transfers overhead prediction
  115. - Transparently benchmark buses to generate performance models
  116. - Bind accelerator-controlling threads with respect to NUMA locality
  117. * Improve StarPU's portability
  118. - Add OpenCL support
  119. - Add support for Windows
  120. StarPU 0.2.901 aka 0.3-rc1 (svn revision 1236)
  121. ==============================================
  122. The asynchronous heterogeneous multi-accelerator release
  123. * Many API changes and code cleanups
  124. - Implement starpu_worker_get_id
  125. - Implement starpu_worker_get_name
  126. - Implement starpu_worker_get_type
  127. - Implement starpu_worker_get_count
  128. - Implement starpu_display_codelet_stats
  129. - Implement starpu_data_prefetch_on_node
  130. - Expose the starpu_data_set_wt_mask function
  131. * Support nvidia (heterogeneous) multi-GPU
  132. * Add the data request mechanism
  133. - All data transfers use data requests now
  134. - Implement asynchronous data transfers
  135. - Implement prefetch mechanism
  136. - Chain data requests to support GPU->RAM->GPU transfers
  137. * Make it possible to bypass the scheduler and to assign a task to a specific
  138. worker
  139. * Support restartable tasks to reinstanciate dependencies task graphs
  140. * Improve performance prediction
  141. - Model data transfer overhead
  142. - One model is created for each accelerator
  143. * Support for CUDA's driver API is deprecated
  144. * The STARPU_WORKERS_CUDAID and STARPU_WORKERS_CPUID env. variables make it possible to
  145. specify where to bind the workers
  146. * Use the hwloc library to detect the actual number of cores
  147. StarPU 0.2.0 (svn revision 1013)
  148. ==============================================
  149. The Stabilizing-the-Basics release
  150. * Various API cleanups
  151. * Mac OS X is supported now
  152. * Add dynamic code loading facilities onto Cell's SPUs
  153. * Improve performance analysis/feedback tools
  154. * Application can interact with StarPU tasks
  155. - The application may access/modify data managed by the DSM
  156. - The application may wait for the termination of a (set of) task(s)
  157. * An initial documentation is added
  158. * More examples are supplied
  159. StarPU 0.1.0 (svn revision 794)
  160. ==============================================
  161. First release.
  162. Status:
  163. * Only supports Linux platforms yet
  164. * Supported architectures
  165. - multicore CPUs
  166. - NVIDIA GPUs (with CUDA 2.x)
  167. - experimental Cell/BE support
  168. Changes:
  169. * Scheduling facilities
  170. - run-time selection of the scheduling policy
  171. - basic auto-tuning facilities
  172. * Software-based DSM
  173. - transparent data coherency management
  174. - High-level expressive interface