Fix new features which actually appeared in 1.1

ChangeLog

@@ -40,22 +40,6 @@ New features:
     handle (sequential consistency will be enabled or disabled based
     on the value of the function parameter and the value of the
     sequential consistency defined for the given data)
-  * Performance models files are now stored in a directory whose name
-    include the version of the performance model format. The version
-    number is also written in the file itself.
-    When updating the format, the internal variable
-    _STARPU_PERFMODEL_VERSION should be updated. It is then possible
-    to switch easily between differents versions of StarPU having
-    different performance model formats.
-  * Tasks can now define a optional prologue callback which is executed
-    on the host when the task becomes ready for execution, before getting
-    scheduled.
-  * Small CUDA allocations (<= 4MiB) are now batched to avoid the huge
-    cudaMalloc overhead.
-  * Prefetching is now done for all schedulers when it can be done whatever
-    the scheduling decision.
-  * Add a watchdog which permits to easily trigger a crash when StarPU gets
-    stuck.
 
 Small features:
   * New functions starpu_data_acquire_cb_sequential_consistency() and
@@ -195,6 +179,23 @@ New features:
     the Simgrid StarPU features should use it.
   * Allow to have a dynamically allocated number of buffers per task,
     and so overwrite the value defined --enable-maxbuffers=XXX
+  * Performance models files are now stored in a directory whose name
+    include the version of the performance model format. The version
+    number is also written in the file itself.
+    When updating the format, the internal variable
+    _STARPU_PERFMODEL_VERSION should be updated. It is then possible
+    to switch easily between differents versions of StarPU having
+    different performance model formats.
+  * Tasks can now define a optional prologue callback which is executed
+    on the host when the task becomes ready for execution, before getting
+    scheduled.
+  * Small CUDA allocations (<= 4MiB) are now batched to avoid the huge
+    cudaMalloc overhead.
+  * Prefetching is now done for all schedulers when it can be done whatever
+    the scheduling decision.
+  * Add a watchdog which permits to easily trigger a crash when StarPU gets
+    stuck.
+  * Document how to migrate data over MPI.
 
 Small features:
   * Add starpu_worker_get_by_type and starpu_worker_get_by_devid