ChangeLog 11 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. * Performance models measurements can now be provided explicitly by
  23. applications.
  24. * Capability to emit communication statistics when running MPI code
  25. * Add starpu_unregister_submit, starpu_data_acquire_on_node and
  26. starpu_data_invalidate_submit
  27. * New functionnality to wrapper starpu_insert_task to pass a array of
  28. data_handles via the parameter STARPU_DATA_ARRAY
  29. * Enable GPU-GPU direct transfers.
  30. * GCC plug-in
  31. - Add `registered' attribute
  32. * SOCL
  33. - Manual mapping of commands on specific devices is now possible
  34. Changes:
  35. * The FxT code can now be used on systems other than Linux.
  36. * Keep only one hashtable implementation common/uthash.h
  37. * The cache of starpu_mpi_insert_task is fixed and thus now enabled by
  38. default.
  39. * Improve starpu_machine_display output.
  40. * Standardize objects name in the performance model API
  41. * SOCL
  42. - Virtual SOCL device has been removed
  43. - Automatic scheduling still available with command queues not assigned to
  44. any device
  45. Small changes:
  46. * STARPU_NCPU should now be used instead of STARPU_NCPUS. STARPU_NCPUS is
  47. still available for compatibility reasons.
  48. * include/starpu.h includes all include/starpu_*.h files, applications
  49. therefore only need to have #include <starpu.h>
  50. * Active task wait is now included in blocked time.
  51. StarPU 1.0.2 (svn revision xxx)
  52. ==============================================
  53. Changes:
  54. * Add starpu_block_shadow_filter_func_vector and an example.
  55. * Add tag dependency in trace-generated DAG.
  56. * Fix CPU binding for optimized CPU-GPU transfers.
  57. * Fix parallel tasks CPU binding and combined worker generation.
  58. * Fix generating FXT traces bigger than 64MiB.
  59. StarPU 1.0.1 (svn revision 6659)
  60. ==============================================
  61. Changes:
  62. * hwloc support. Warn users when hwloc is not found on the system and
  63. produce error when not explicitely disabled.
  64. * Several bug fixes
  65. * GCC plug-in
  66. - Add `#pragma starpu release'
  67. - Fix bug when using `acquire' pragma with function parameters
  68. - Slightly improve test suite coverage
  69. - Relax the GCC version check
  70. * Update SOCL to use new API
  71. * Documentation improvement.
  72. StarPU 1.0.0 (svn revision 6306)
  73. ==============================================
  74. The extensions-again release
  75. New features:
  76. * Add SOCL, an OpenCL interface on top of StarPU.
  77. * Add a gcc plugin to extend the C interface with pragmas which allows to
  78. easily define codelets and issue tasks.
  79. * Add reduction mode to starpu_mpi_insert_task.
  80. * A new multi-format interface permits to use different binary formats
  81. on CPUs & GPUs, the conversion functions being provided by the
  82. application and called by StarPU as needed (and as less as
  83. possible).
  84. * Deprecate cost_model, and introduce cost_function, which is provided
  85. with the whole task structure, the target arch and implementation
  86. number.
  87. * Permit the application to provide its own size base for performance
  88. models.
  89. * Applications can provide several implementations of a codelet for the
  90. same architecture.
  91. * Add a StarPU-Top feedback and steering interface.
  92. * Permit to specify MPI tags for more efficient starpu_mpi_insert_task
  93. Changes:
  94. * Fix several memory leaks and race conditions
  95. * Make environment variables take precedence over the configuration
  96. passed to starpu_init()
  97. * Libtool interface versioning has been included in libraries names
  98. (libstarpu-1.0.so, libstarpumpi-1.0.so,
  99. libstarpufft-1.0.so, libsocl-1.0.so)
  100. * Install headers under $includedir/starpu/1.0.
  101. * Make where field for struct starpu_codelet optional. When unset, its
  102. value will be automatically set based on the availability of the
  103. different XXX_funcs fields of the codelet.
  104. * Define access modes for data handles into starpu_codelet and no longer
  105. in starpu_task. Hence mark (struct starpu_task).buffers as
  106. deprecated, and add (struct starpu_task).handles and (struct
  107. starpu_codelet).modes
  108. * Fields xxx_func of struct starpu_codelet are made deprecated. One
  109. should use fields xxx_funcs instead.
  110. * Some types were renamed for consistency. when using pkg-config libstarpu,
  111. starpu_deprecated_api.h is automatically included (after starpu.h) to
  112. keep compatibility with existing software. Other changes are mentioned
  113. below, compatibility is also preserved for them.
  114. To port code to use new names (this is not mandatory), the
  115. tools/dev/rename.sh script can be used, and pkg-config starpu-1.0 should
  116. be used.
  117. * The communication cost in the heft and dmda scheduling strategies now
  118. take into account the contention brought by the number of GPUs. This
  119. changes the meaning of the beta factor, whose default 1.0 value should
  120. now be good enough in most case.
  121. Small features:
  122. * Allow users to disable asynchronous data transfers between CPUs and
  123. GPUs.
  124. * Update OpenCL driver to enable CPU devices (the environment variable
  125. STARPU_OPENCL_ON_CPUS must be set to a positive value when
  126. executing an application)
  127. * struct starpu_data_interface_ops --- operations on a data
  128. interface --- define a new function pointer allocate_new_data
  129. which creates a new data interface of the given type based on
  130. an existing handle
  131. * Add a field named magic to struct starpu_task which is set when
  132. initialising the task. starpu_task_submit will fail if the
  133. field does not have the right value. This will hence avoid
  134. submitting tasks which have not been properly initialised.
  135. * Add a hook function pre_exec_hook in struct starpu_sched_policy.
  136. The function is meant to be called in drivers. Schedulers
  137. can use it to be notified when a task is about being computed.
  138. * Add codelet execution time statistics plot.
  139. * Add bus speed in starpu_machine_display.
  140. * Add a STARPU_DATA_ACQUIRE_CB which permits to inline the code to be
  141. done.
  142. * Add gdb functions.
  143. * Add complex support to LU example.
  144. * Permit to use the same data several times in write mode in the
  145. parameters of the same task.
  146. Small changes:
  147. * Increase default value for STARPU_MAXCPUS -- Maximum number of
  148. CPUs supported -- to 64.
  149. * Add man pages for some of the tools
  150. * Add C++ application example in examples/cpp/
  151. * Add an OpenMP fork-join example.
  152. * Documentation improvement.
  153. StarPU 0.9 (svn revision 3721)
  154. ==============================================
  155. The extensions release
  156. * Provide the STARPU_REDUX data access mode
  157. * Externalize the scheduler API.
  158. * Add theoretical bound computation
  159. * Add the void interface
  160. * Add power consumption optimization
  161. * Add parallel task support
  162. * Add starpu_mpi_insert_task
  163. * Add profiling information interface.
  164. * Add STARPU_LIMIT_GPU_MEM environment variable.
  165. * OpenCL fixes
  166. * MPI fixes
  167. * Improve optimization documentation
  168. * Upgrade to hwloc 1.1 interface
  169. * Add fortran example
  170. * Add mandelbrot OpenCL example
  171. * Add cg example
  172. * Add stencil MPI example
  173. * Initial support for CUDA4
  174. StarPU 0.4 (svn revision 2535)
  175. ==============================================
  176. The API strengthening release
  177. * Major API improvements
  178. - Provide the STARPU_SCRATCH data access mode
  179. - Rework data filter interface
  180. - Rework data interface structure
  181. - A script that automatically renames old functions to accomodate with the new
  182. API is available from https://scm.gforge.inria.fr/svn/starpu/scripts/renaming
  183. (login: anonsvn, password: anonsvn)
  184. * Implement dependencies between task directly (eg. without tags)
  185. * Implicit data-driven task dependencies simplifies the design of
  186. data-parallel algorithms
  187. * Add dynamic profiling capabilities
  188. - Provide per-task feedback
  189. - Provide per-worker feedback
  190. - Provide feedback about memory transfers
  191. * Provide a library to help accelerating MPI applications
  192. * Improve data transfers overhead prediction
  193. - Transparently benchmark buses to generate performance models
  194. - Bind accelerator-controlling threads with respect to NUMA locality
  195. * Improve StarPU's portability
  196. - Add OpenCL support
  197. - Add support for Windows
  198. StarPU 0.2.901 aka 0.3-rc1 (svn revision 1236)
  199. ==============================================
  200. The asynchronous heterogeneous multi-accelerator release
  201. * Many API changes and code cleanups
  202. - Implement starpu_worker_get_id
  203. - Implement starpu_worker_get_name
  204. - Implement starpu_worker_get_type
  205. - Implement starpu_worker_get_count
  206. - Implement starpu_display_codelet_stats
  207. - Implement starpu_data_prefetch_on_node
  208. - Expose the starpu_data_set_wt_mask function
  209. * Support nvidia (heterogeneous) multi-GPU
  210. * Add the data request mechanism
  211. - All data transfers use data requests now
  212. - Implement asynchronous data transfers
  213. - Implement prefetch mechanism
  214. - Chain data requests to support GPU->RAM->GPU transfers
  215. * Make it possible to bypass the scheduler and to assign a task to a specific
  216. worker
  217. * Support restartable tasks to reinstanciate dependencies task graphs
  218. * Improve performance prediction
  219. - Model data transfer overhead
  220. - One model is created for each accelerator
  221. * Support for CUDA's driver API is deprecated
  222. * The STARPU_WORKERS_CUDAID and STARPU_WORKERS_CPUID env. variables make it possible to
  223. specify where to bind the workers
  224. * Use the hwloc library to detect the actual number of cores
  225. StarPU 0.2.0 (svn revision 1013)
  226. ==============================================
  227. The Stabilizing-the-Basics release
  228. * Various API cleanups
  229. * Mac OS X is supported now
  230. * Add dynamic code loading facilities onto Cell's SPUs
  231. * Improve performance analysis/feedback tools
  232. * Application can interact with StarPU tasks
  233. - The application may access/modify data managed by the DSM
  234. - The application may wait for the termination of a (set of) task(s)
  235. * An initial documentation is added
  236. * More examples are supplied
  237. StarPU 0.1.0 (svn revision 794)
  238. ==============================================
  239. First release.
  240. Status:
  241. * Only supports Linux platforms yet
  242. * Supported architectures
  243. - multicore CPUs
  244. - NVIDIA GPUs (with CUDA 2.x)
  245. - experimental Cell/BE support
  246. Changes:
  247. * Scheduling facilities
  248. - run-time selection of the scheduling policy
  249. - basic auto-tuning facilities
  250. * Software-based DSM
  251. - transparent data coherency management
  252. - High-level expressive interface
  253. # Local Variables:
  254. # mode: text
  255. # coding: utf-8
  256. # ispell-local-dictionary: "american"
  257. # End: