Author: Antonio Cuni <[email protected]>
Branch: extradoc
Changeset: r5847:ac20780052f6
Date: 2017-10-27 14:28 +0200
http://bitbucket.org/pypy/extradoc/changeset/ac20780052f6/
Log: tweaks
diff --git a/blog/draft/2017-10-how-to-make-80x-faster.rst
b/blog/draft/2017-10-how-to-make-80x-faster.rst
--- a/blog/draft/2017-10-how-to-make-80x-faster.rst
+++ b/blog/draft/2017-10-how-to-make-80x-faster.rst
@@ -25,7 +25,7 @@
However, for the scope of this post, the actual task at hand is not so
important, so let's jump straight to the code. To drive the quadcopter, a
-``Creature`` has a ``run_step`` method which runs at each ``delta - t`` (`full
+``Creature`` has a ``run_step`` method which runs at each ``delta_t`` (`full
code`_)::
class Creature(object):
@@ -220,8 +220,9 @@
Let's look at the trace_ again: it no longer contains expensive calls, and
certainly no more temporary ``malloc()`` s. The core of the logic is between
-lines XX-YY, where we can see that it does fast C-level multiplications and
-additions.
+lines 386-416, where we can see that it does fast C-level multiplications and
+additions: ``float_mul`` and ``float_add`` are translated straight into
+``mulsd`` and ``addsd`` x86 instructions.
.. _trace: http://vmprof.com/#/402af746-2966-4403-a61d-93015abac033/traces
@@ -232,6 +233,15 @@
benchmark which was designed specifically to have good performance on PyPy:
it's a real world example, albeit small.
+You might be also interested in the talk I gave at last EuroPython, in which I
+talk about a similar topic: "The Joy of PyPy JIT: abstractions for free"
+(abstract_, slides_ and video_).
+
+.. _abstract:
https://ep2017.europython.eu/conference/talks/the-joy-of-pypy-jit-abstractions-for-free
+.. _slides:
https://speakerdeck.com/antocuni/the-joy-of-pypy-jit-abstractions-for-free
+.. _video: https://www.youtube.com/watch?v=NQfpHQII2cU
+
+
Numpy vs numpypy
-----------------
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