Author: Maciej Fijalkowski <[email protected]>
Branch: extradoc
Changeset: r5550:6d2003548bf4
Date: 2015-09-09 13:43 +0200
http://bitbucket.org/pypy/extradoc/changeset/6d2003548bf4/

Log:    (fijal, tos9) reshuffle and improve

diff --git a/blog/draft/warmup-improvements.rst 
b/blog/draft/warmup-improvements.rst
--- a/blog/draft/warmup-improvements.rst
+++ b/blog/draft/warmup-improvements.rst
@@ -10,7 +10,8 @@
 on the peak performance with some consideration towards memory usage, but
 without serious consideration towards warmup time. This means we accumulated
 quite a bit of technical debt over time that we're trying, with difficulty,
-to address right now.
+to address right now. This branch mostly does not affect the peak performance
+- it should however help you with short-living scripts, like test runs.
 
 The branch does "one" thing - it changes the underlaying model of how 
operations
 are represented during the tracing and optimizations. Let's consider a simple
@@ -33,17 +34,17 @@
 example, ``i2`` would refer to its producer - ``i2 = int_add(i0, i1)`` with
 arguments getting special treatment.
 
-That alone reduces the GC pressure slightly, but we went an extra mile
-to change a bunch of data structures in the optimizer itself. Overall
+That alone reduces the GC pressure slightly, but a reduced number
+of instances also lets us store references on them directly instead
+of going through expensive dictionaries, which were used to store optimizing
+information about the boxes. Overall
 we measured about 50% speed improvement in the optimizer, which reduces
 the overall warmup time between 10% and 30%. The very
 `obvious warmup benchmark`_ got a speedup from 4.5s to 3.5s so almost
 30% improvement. Obviously the speedups on benchmarks would vastly
 depend on how much warmup time is there in those benchmarks. We observed
 annotation of pypy to decrease by about 30% and the overall translation
-time by about 7%, so your mileage may vary. In fact in most cases there
-should not be a visible difference if you're already achieving peak 
performance,
-however wherever warmup is a problem there should be a modest speedup.
+time by about 7%, so your mileage may vary.
 
 Of course, as usual with the large refactoring of a crucial piece of PyPy,
 there are expected to be bugs. We are going to wait for the default to 
stabilize
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