ChangeLog 9.1 KB

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  1. # StarPU --- Runtime system for heterogeneous multicore architectures.
  2. #
  3. # Copyright (C) 2009-2012 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 1.1.0 (svn revision xxxx)
  17. ==============================================
  18. New features:
  19. * OpenGL interoperability support.
  20. * Capability to store compiled OpenCL kernels on the file system
  21. * Capability to load compiled OpenCL kernels
  22. Changes:
  23. * The FxT code can now be used on systems other than Linux.
  24. StarPU 1.0.0 (svn revision 6306)
  25. ==============================================
  26. The extensions-again release
  27. New features:
  28. * Add SOCL, an OpenCL interface on top of StarPU.
  29. * Add a gcc plugin to extend the C interface with pragmas which allows to
  30. easily define codelets and issue tasks.
  31. * Add reduction mode to starpu_mpi_insert_task.
  32. * A new multi-format interface permits to use different binary formats
  33. on CPUs & GPUs, the conversion functions being provided by the
  34. application and called by StarPU as needed (and as less as
  35. possible).
  36. * Deprecate cost_model, and introduce cost_function, which is provided
  37. with the whole task structure, the target arch and implementation
  38. number.
  39. * Permit the application to provide its own size base for performance
  40. models.
  41. * Applications can provide several implementations of a codelet for the
  42. same architecture.
  43. * Add a StarPU-Top feedback and steering interface.
  44. * Permit to specify MPI tags for more efficient starpu_mpi_insert_task
  45. Changes:
  46. * Fix several memory leaks and race conditions
  47. * Make environment variables take precedence over the configuration
  48. passed to starpu_init()
  49. * Libtool interface versioning has been included in libraries names
  50. (libstarpu-1.0.so, libstarpumpi-1.0.so,
  51. libstarpufft-1.0.so, libsocl-1.0.so)
  52. * Install headers under $includedir/starpu/1.0.
  53. * Make where field for struct starpu_codelet optional. When unset, its
  54. value will be automatically set based on the availability of the
  55. different XXX_funcs fields of the codelet.
  56. * Define access modes for data handles into starpu_codelet and no longer
  57. in starpu_task. Hence mark (struct starpu_task).buffers as
  58. deprecated, and add (struct starpu_task).handles and (struct
  59. starpu_codelet).modes
  60. * Fields xxx_func of struct starpu_codelet are made deprecated. One
  61. should use fields xxx_funcs instead.
  62. * Some types were renamed for consistency. when using pkg-config libstarpu,
  63. starpu_deprecated_api.h is automatically included (after starpu.h) to
  64. keep compatibility with existing software. Other changes are mentioned
  65. below, compatibility is also preserved for them.
  66. To port code to use new names (this is not mandatory), the
  67. tools/dev/rename.sh script can be used, and pkg-config starpu-1.0 should
  68. be used.
  69. * The communication cost in the heft and dmda scheduling strategies now
  70. take into account the contention brought by the number of GPUs. This
  71. changes the meaning of the beta factor, whose default 1.0 value should
  72. now be good enough in most case.
  73. Small features:
  74. * Allow users to disable asynchronous data transfers between CPUs and
  75. GPUs.
  76. * Update OpenCL driver to enable CPU devices (the environment variable
  77. STARPU_OPENCL_ON_CPUS must be set to a positive value when
  78. executing an application)
  79. * struct starpu_data_interface_ops --- operations on a data
  80. interface --- define a new function pointer allocate_new_data
  81. which creates a new data interface of the given type based on
  82. an existing handle
  83. * Add a field named magic to struct starpu_task which is set when
  84. initialising the task. starpu_task_submit will fail if the
  85. field does not have the right value. This will hence avoid
  86. submitting tasks which have not been properly initialised.
  87. * Add a hook function pre_exec_hook in struct starpu_sched_policy.
  88. The function is meant to be called in drivers. Schedulers
  89. can use it to be notified when a task is about being computed.
  90. * Add codelet execution time statistics plot.
  91. * Add bus speed in starpu_machine_display.
  92. * Add a STARPU_DATA_ACQUIRE_CB which permits to inline the code to be
  93. done.
  94. * Add gdb functions.
  95. * Add complex support to LU example.
  96. * Permit to use the same data several times in write mode in the
  97. parameters of the same task.
  98. Small changes:
  99. * Increase default value for STARPU_MAXCPUS -- Maximum number of
  100. CPUs supported -- to 64.
  101. * Add man pages for some of the tools
  102. * Add C++ application example in examples/cpp/
  103. * Add an OpenMP fork-join example.
  104. * Documentation improvement.
  105. StarPU 0.9 (svn revision 3721)
  106. ==============================================
  107. The extensions release
  108. * Provide the STARPU_REDUX data access mode
  109. * Externalize the scheduler API.
  110. * Add theoretical bound computation
  111. * Add the void interface
  112. * Add power consumption optimization
  113. * Add parallel task support
  114. * Add starpu_mpi_insert_task
  115. * Add profiling information interface.
  116. * Add STARPU_LIMIT_GPU_MEM environment variable.
  117. * OpenCL fixes
  118. * MPI fixes
  119. * Improve optimization documentation
  120. * Upgrade to hwloc 1.1 interface
  121. * Add fortran example
  122. * Add mandelbrot OpenCL example
  123. * Add cg example
  124. * Add stencil MPI example
  125. * Initial support for CUDA4
  126. StarPU 0.4 (svn revision 2535)
  127. ==============================================
  128. The API strengthening release
  129. * Major API improvements
  130. - Provide the STARPU_SCRATCH data access mode
  131. - Rework data filter interface
  132. - Rework data interface structure
  133. - A script that automatically renames old functions to accomodate with the new
  134. API is available from https://scm.gforge.inria.fr/svn/starpu/scripts/renaming
  135. (login: anonsvn, password: anonsvn)
  136. * Implement dependencies between task directly (eg. without tags)
  137. * Implicit data-driven task dependencies simplifies the design of
  138. data-parallel algorithms
  139. * Add dynamic profiling capabilities
  140. - Provide per-task feedback
  141. - Provide per-worker feedback
  142. - Provide feedback about memory transfers
  143. * Provide a library to help accelerating MPI applications
  144. * Improve data transfers overhead prediction
  145. - Transparently benchmark buses to generate performance models
  146. - Bind accelerator-controlling threads with respect to NUMA locality
  147. * Improve StarPU's portability
  148. - Add OpenCL support
  149. - Add support for Windows
  150. StarPU 0.2.901 aka 0.3-rc1 (svn revision 1236)
  151. ==============================================
  152. The asynchronous heterogeneous multi-accelerator release
  153. * Many API changes and code cleanups
  154. - Implement starpu_worker_get_id
  155. - Implement starpu_worker_get_name
  156. - Implement starpu_worker_get_type
  157. - Implement starpu_worker_get_count
  158. - Implement starpu_display_codelet_stats
  159. - Implement starpu_data_prefetch_on_node
  160. - Expose the starpu_data_set_wt_mask function
  161. * Support nvidia (heterogeneous) multi-GPU
  162. * Add the data request mechanism
  163. - All data transfers use data requests now
  164. - Implement asynchronous data transfers
  165. - Implement prefetch mechanism
  166. - Chain data requests to support GPU->RAM->GPU transfers
  167. * Make it possible to bypass the scheduler and to assign a task to a specific
  168. worker
  169. * Support restartable tasks to reinstanciate dependencies task graphs
  170. * Improve performance prediction
  171. - Model data transfer overhead
  172. - One model is created for each accelerator
  173. * Support for CUDA's driver API is deprecated
  174. * The STARPU_WORKERS_CUDAID and STARPU_WORKERS_CPUID env. variables make it possible to
  175. specify where to bind the workers
  176. * Use the hwloc library to detect the actual number of cores
  177. StarPU 0.2.0 (svn revision 1013)
  178. ==============================================
  179. The Stabilizing-the-Basics release
  180. * Various API cleanups
  181. * Mac OS X is supported now
  182. * Add dynamic code loading facilities onto Cell's SPUs
  183. * Improve performance analysis/feedback tools
  184. * Application can interact with StarPU tasks
  185. - The application may access/modify data managed by the DSM
  186. - The application may wait for the termination of a (set of) task(s)
  187. * An initial documentation is added
  188. * More examples are supplied
  189. StarPU 0.1.0 (svn revision 794)
  190. ==============================================
  191. First release.
  192. Status:
  193. * Only supports Linux platforms yet
  194. * Supported architectures
  195. - multicore CPUs
  196. - NVIDIA GPUs (with CUDA 2.x)
  197. - experimental Cell/BE support
  198. Changes:
  199. * Scheduling facilities
  200. - run-time selection of the scheduling policy
  201. - basic auto-tuning facilities
  202. * Software-based DSM
  203. - transparent data coherency management
  204. - High-level expressive interface