Author: mattip <matti.pi...@gmail.com>
Branch: 
Changeset: r80252:18f21006dc31
Date: 2015-10-16 08:49 +0300
http://bitbucket.org/pypy/pypy/changeset/18f21006dc31/

Log:    refactor whatsnew-* into release notes

diff --git a/pypy/doc/release-15.11.0.rst b/pypy/doc/release-15.11.0.rst
--- a/pypy/doc/release-15.11.0.rst
+++ b/pypy/doc/release-15.11.0.rst
@@ -2,11 +2,36 @@
 PyPy 15.11.0
 ============
 
-We're pleased and proud to unleash PyPy 15.11, a major update of the PyPy 
python2.7.10
-compatible interpreter with a Just In Time compiler.
-We have improved warmup time and memory overhead used for tracing, added 
vectorization
-for numpy and general loops where possible on x86 hardware, ...
-and increased functionality of numpy.
+We're pleased and proud to unleash PyPy 15.11, a major update of the PyPy
+python2.7.10 compatible interpreter with a Just In Time compiler.
+We have improved `warmup time and memory overhead used for tracing`_, added
+`vectorization`_ for numpy and general loops where possible on x86 hardware,
+refactored rough edges in rpython, and increased functionality of numpy.
+
+Vectorization
+=============
+
+Richard Plangger began work in March and continued over a Google Summer of Code
+to add a optimization step to the trace optimizer. The step recognizes common
+constructs and emits SIMD code where possible, much as any modern compiler 
does.
+This vectorization happens while tracing running code,  so it is actually 
easier
+at run-time to determine the
+availability of possible vectorization than it is for ahead-of-time compilers.
+
+Availability of SIMD hardware is detected at run time, without needing to
+precompile various code paths into the executable.
+
+Internal Refactoring and Warmup Time Improvement
+================================================
+
+Maciej Fijalkowski and Armin Rigo refactored internals of rpython that now 
allow
+PyPy to more efficiently use `guards`_ in jitted code. They also rewrote 
unrolling,
+leading to a warmup time improvement of 20% or so at the cost of a minor
+regression in jitted code speed.
+
+.. _`warmup time and memory overhead used for tracing`: 
http://morepypy.blogspot.com/2015/10
+.. _`vectorization`: http://pypyvecopt.blogspot.co.at/
+.. _`guards`: http://rpython.readthedocs.org/en/latest/glossary.html
 
 You can download the PyPy 15.11 release here:
 
@@ -45,28 +70,49 @@
 .. _freebsd: https://svnweb.freebsd.org/ports/head/lang/pypy/
 .. _`dynamic languages`: http://pypyjs.org
 
-Highlights 
-===========
+Highlights (since 2.6.1 release two months ago)
+===============================================
 
 * Bug Fixes
 
-  * ...
+  * Applied OPENBSD downstream fixes
+
+  * Fix a crash on non-linux when running more than 20 threads
+
+  * In cffi, ffi.new_handle() is more cpython compliant
 
   * Issues reported with our previous release were resolved_ after reports 
from users on
     our issue tracker at https://bitbucket.org/pypy/pypy/issues or on IRC at
-    #pypy.
+    #pypy
 
 * New features:
 
-  * ...
+  * Add an optimization pass to vectorize loops using x86 SIMD intrinsics.
+
+  * Support __stdcall on Windows in CFFI
 
 * Numpy:
 
-  * ...
+  * Add support for ndarray.ctypes
+
+  * Fast path for mixing numpy scalars and floats
+
+  * Add support for creating Fortran-ordered ndarrays
+
+  * Fix casting failures in linalg (by extending ufunc casting)
 
 * Performance improvements:
 
-  * ...
+  * Reuse hashed keys across dictionaries and sets
+
+  * Refactor JIT interals to improve warmup time by 20% or so at the cost of a
+    minor regression in JIT speed
+
+  * Recognize patterns of common sequences in the JIT backends and optimize 
them
+
+  * Make the garbage collecter more intcremental over external_malloc() calls
+
+  * Share guard resume data where possible which reduces memory usage
 
 .. _`vmprof`: https://vmprof.readthedocs.org
 .. _resolved: http://doc.pypy.org/en/latest/whatsnew-15.11.0.html
diff --git a/rpython/doc/glossary.rst b/rpython/doc/glossary.rst
--- a/rpython/doc/glossary.rst
+++ b/rpython/doc/glossary.rst
@@ -29,6 +29,9 @@
       Code that makes it possible to write :doc:`RPython's garbage collectors 
<garbage_collection>`
       in Python itself.
 
+   guard
+      a small test that checks if assumptions the JIT makes during tracing are 
still true
+
    JIT
       :doc:`just in time compiler <jit/index>`.
 
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