ChangeLog 13 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. - A new pass was added that warns about the use of possibly
  33. unregistered memory buffers.
  34. * SOCL
  35. - Manual mapping of commands on specific devices is now possible
  36. * New interface: COO matrix.
  37. * MPI:
  38. - Communication statistics for MPI can only be enabled at
  39. execution time by defining the environment variable
  40. STARPU_COMM_STATS
  41. - Communication cache mechanism is enabled by default, and can
  42. only be disabled at execution time by setting the
  43. environment variable STARPU_MPI_CACHE to 0.
  44. - Initialisation functions starpu_mpi_initialize_extended()
  45. and starpu_mpi_initialize() have been made deprecated. One
  46. should now use starpu_mpi_init() which will initialise MPI
  47. by calling MPI_Init_Thread if is not already done.
  48. - Collective detached operations have new parameters, a
  49. callback function and a argument. This is to be consistent
  50. with the detached point-to-point communications.
  51. Changes:
  52. * Fix the block filter functions.
  53. * Fix StarPU-MPI on Darwin.
  54. * The FxT code can now be used on systems other than Linux.
  55. * Keep only one hashtable implementation common/uthash.h
  56. * The cache of starpu_mpi_insert_task is fixed and thus now enabled by
  57. default.
  58. * Improve starpu_machine_display output.
  59. * Standardize objects name in the performance model API
  60. * SOCL
  61. - Virtual SOCL device has been removed
  62. - Automatic scheduling still available with command queues not
  63. assigned to any device
  64. - Remove modified OpenCL headers. ICD is now the only supported
  65. way to use SOCL.
  66. - SOCL test suite is only run when environment variable
  67. SOCL_OCL_LIB_OPENCL is defined. It should contain the location
  68. of the libOpenCL.so file of the OCL ICD implementation.
  69. * Fix main memory leak on multiple unregister/re-register.
  70. * Improve hwloc detection by configure
  71. * Cell:
  72. - It is no longer possible to enable the cell support via the
  73. gordon driver
  74. Small changes:
  75. * STARPU_NCPU should now be used instead of STARPU_NCPUS. STARPU_NCPUS is
  76. still available for compatibility reasons.
  77. * include/starpu.h includes all include/starpu_*.h files, applications
  78. therefore only need to have #include <starpu.h>
  79. * Active task wait is now included in blocked time.
  80. * Fix GCC plugin linking issues starting with GCC 4.7.
  81. * Fix forcing calibration of never-calibrated archs.
  82. * CUDA applications are no longer compiled with the "-arch sm_13"
  83. option. It is specifically added to applications which need it.
  84. StarPU 1.0.3 (svn revision 7379)
  85. ==============================================
  86. Changes:
  87. * Several bug fixes in the build system
  88. * Bug fixes in source code for non-Linux systems
  89. * Fix generating FXT traces bigger than 64MiB.
  90. * Improve ENODEV error detections in StarPU FFT
  91. StarPU 1.0.2 (svn revision xxx)
  92. ==============================================
  93. Changes:
  94. * Add starpu_block_shadow_filter_func_vector and an example.
  95. * Add tag dependency in trace-generated DAG.
  96. * Fix CPU binding for optimized CPU-GPU transfers.
  97. * Fix parallel tasks CPU binding and combined worker generation.
  98. * Fix generating FXT traces bigger than 64MiB.
  99. StarPU 1.0.1 (svn revision 6659)
  100. ==============================================
  101. Changes:
  102. * hwloc support. Warn users when hwloc is not found on the system and
  103. produce error when not explicitely disabled.
  104. * Several bug fixes
  105. * GCC plug-in
  106. - Add `#pragma starpu release'
  107. - Fix bug when using `acquire' pragma with function parameters
  108. - Slightly improve test suite coverage
  109. - Relax the GCC version check
  110. * Update SOCL to use new API
  111. * Documentation improvement.
  112. StarPU 1.0.0 (svn revision 6306)
  113. ==============================================
  114. The extensions-again release
  115. New features:
  116. * Add SOCL, an OpenCL interface on top of StarPU.
  117. * Add a gcc plugin to extend the C interface with pragmas which allows to
  118. easily define codelets and issue tasks.
  119. * Add reduction mode to starpu_mpi_insert_task.
  120. * A new multi-format interface permits to use different binary formats
  121. on CPUs & GPUs, the conversion functions being provided by the
  122. application and called by StarPU as needed (and as less as
  123. possible).
  124. * Deprecate cost_model, and introduce cost_function, which is provided
  125. with the whole task structure, the target arch and implementation
  126. number.
  127. * Permit the application to provide its own size base for performance
  128. models.
  129. * Applications can provide several implementations of a codelet for the
  130. same architecture.
  131. * Add a StarPU-Top feedback and steering interface.
  132. * Permit to specify MPI tags for more efficient starpu_mpi_insert_task
  133. Changes:
  134. * Fix several memory leaks and race conditions
  135. * Make environment variables take precedence over the configuration
  136. passed to starpu_init()
  137. * Libtool interface versioning has been included in libraries names
  138. (libstarpu-1.0.so, libstarpumpi-1.0.so,
  139. libstarpufft-1.0.so, libsocl-1.0.so)
  140. * Install headers under $includedir/starpu/1.0.
  141. * Make where field for struct starpu_codelet optional. When unset, its
  142. value will be automatically set based on the availability of the
  143. different XXX_funcs fields of the codelet.
  144. * Define access modes for data handles into starpu_codelet and no longer
  145. in starpu_task. Hence mark (struct starpu_task).buffers as
  146. deprecated, and add (struct starpu_task).handles and (struct
  147. starpu_codelet).modes
  148. * Fields xxx_func of struct starpu_codelet are made deprecated. One
  149. should use fields xxx_funcs instead.
  150. * Some types were renamed for consistency. when using pkg-config libstarpu,
  151. starpu_deprecated_api.h is automatically included (after starpu.h) to
  152. keep compatibility with existing software. Other changes are mentioned
  153. below, compatibility is also preserved for them.
  154. To port code to use new names (this is not mandatory), the
  155. tools/dev/rename.sh script can be used, and pkg-config starpu-1.0 should
  156. be used.
  157. * The communication cost in the heft and dmda scheduling strategies now
  158. take into account the contention brought by the number of GPUs. This
  159. changes the meaning of the beta factor, whose default 1.0 value should
  160. now be good enough in most case.
  161. Small features:
  162. * Allow users to disable asynchronous data transfers between CPUs and
  163. GPUs.
  164. * Update OpenCL driver to enable CPU devices (the environment variable
  165. STARPU_OPENCL_ON_CPUS must be set to a positive value when
  166. executing an application)
  167. * struct starpu_data_interface_ops --- operations on a data
  168. interface --- define a new function pointer allocate_new_data
  169. which creates a new data interface of the given type based on
  170. an existing handle
  171. * Add a field named magic to struct starpu_task which is set when
  172. initialising the task. starpu_task_submit will fail if the
  173. field does not have the right value. This will hence avoid
  174. submitting tasks which have not been properly initialised.
  175. * Add a hook function pre_exec_hook in struct starpu_sched_policy.
  176. The function is meant to be called in drivers. Schedulers
  177. can use it to be notified when a task is about being computed.
  178. * Add codelet execution time statistics plot.
  179. * Add bus speed in starpu_machine_display.
  180. * Add a STARPU_DATA_ACQUIRE_CB which permits to inline the code to be
  181. done.
  182. * Add gdb functions.
  183. * Add complex support to LU example.
  184. * Permit to use the same data several times in write mode in the
  185. parameters of the same task.
  186. Small changes:
  187. * Increase default value for STARPU_MAXCPUS -- Maximum number of
  188. CPUs supported -- to 64.
  189. * Add man pages for some of the tools
  190. * Add C++ application example in examples/cpp/
  191. * Add an OpenMP fork-join example.
  192. * Documentation improvement.
  193. StarPU 0.9 (svn revision 3721)
  194. ==============================================
  195. The extensions release
  196. * Provide the STARPU_REDUX data access mode
  197. * Externalize the scheduler API.
  198. * Add theoretical bound computation
  199. * Add the void interface
  200. * Add power consumption optimization
  201. * Add parallel task support
  202. * Add starpu_mpi_insert_task
  203. * Add profiling information interface.
  204. * Add STARPU_LIMIT_GPU_MEM environment variable.
  205. * OpenCL fixes
  206. * MPI fixes
  207. * Improve optimization documentation
  208. * Upgrade to hwloc 1.1 interface
  209. * Add fortran example
  210. * Add mandelbrot OpenCL example
  211. * Add cg example
  212. * Add stencil MPI example
  213. * Initial support for CUDA4
  214. StarPU 0.4 (svn revision 2535)
  215. ==============================================
  216. The API strengthening release
  217. * Major API improvements
  218. - Provide the STARPU_SCRATCH data access mode
  219. - Rework data filter interface
  220. - Rework data interface structure
  221. - A script that automatically renames old functions to accomodate with the new
  222. API is available from https://scm.gforge.inria.fr/svn/starpu/scripts/renaming
  223. (login: anonsvn, password: anonsvn)
  224. * Implement dependencies between task directly (eg. without tags)
  225. * Implicit data-driven task dependencies simplifies the design of
  226. data-parallel algorithms
  227. * Add dynamic profiling capabilities
  228. - Provide per-task feedback
  229. - Provide per-worker feedback
  230. - Provide feedback about memory transfers
  231. * Provide a library to help accelerating MPI applications
  232. * Improve data transfers overhead prediction
  233. - Transparently benchmark buses to generate performance models
  234. - Bind accelerator-controlling threads with respect to NUMA locality
  235. * Improve StarPU's portability
  236. - Add OpenCL support
  237. - Add support for Windows
  238. StarPU 0.2.901 aka 0.3-rc1 (svn revision 1236)
  239. ==============================================
  240. The asynchronous heterogeneous multi-accelerator release
  241. * Many API changes and code cleanups
  242. - Implement starpu_worker_get_id
  243. - Implement starpu_worker_get_name
  244. - Implement starpu_worker_get_type
  245. - Implement starpu_worker_get_count
  246. - Implement starpu_display_codelet_stats
  247. - Implement starpu_data_prefetch_on_node
  248. - Expose the starpu_data_set_wt_mask function
  249. * Support nvidia (heterogeneous) multi-GPU
  250. * Add the data request mechanism
  251. - All data transfers use data requests now
  252. - Implement asynchronous data transfers
  253. - Implement prefetch mechanism
  254. - Chain data requests to support GPU->RAM->GPU transfers
  255. * Make it possible to bypass the scheduler and to assign a task to a specific
  256. worker
  257. * Support restartable tasks to reinstanciate dependencies task graphs
  258. * Improve performance prediction
  259. - Model data transfer overhead
  260. - One model is created for each accelerator
  261. * Support for CUDA's driver API is deprecated
  262. * The STARPU_WORKERS_CUDAID and STARPU_WORKERS_CPUID env. variables make it possible to
  263. specify where to bind the workers
  264. * Use the hwloc library to detect the actual number of cores
  265. StarPU 0.2.0 (svn revision 1013)
  266. ==============================================
  267. The Stabilizing-the-Basics release
  268. * Various API cleanups
  269. * Mac OS X is supported now
  270. * Add dynamic code loading facilities onto Cell's SPUs
  271. * Improve performance analysis/feedback tools
  272. * Application can interact with StarPU tasks
  273. - The application may access/modify data managed by the DSM
  274. - The application may wait for the termination of a (set of) task(s)
  275. * An initial documentation is added
  276. * More examples are supplied
  277. StarPU 0.1.0 (svn revision 794)
  278. ==============================================
  279. First release.
  280. Status:
  281. * Only supports Linux platforms yet
  282. * Supported architectures
  283. - multicore CPUs
  284. - NVIDIA GPUs (with CUDA 2.x)
  285. - experimental Cell/BE support
  286. Changes:
  287. * Scheduling facilities
  288. - run-time selection of the scheduling policy
  289. - basic auto-tuning facilities
  290. * Software-based DSM
  291. - transparent data coherency management
  292. - High-level expressive interface
  293. # Local Variables:
  294. # mode: text
  295. # coding: utf-8
  296. # ispell-local-dictionary: "american"
  297. # End: