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How the PyPy JIT works
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psf
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pycon_2012
--room E1 748 --force
Next: 6 Making Jython Faster and Better
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Marks
Author(s):
Benjamin Peterson
Location
Track II (E1)
Date
mar Sat 10
Days Raw Files
Start
11:05
First Raw Start
11:04
Duration
00:40:00
Offset
0:00:09
End
11:45
Last Raw End
11:45
Chapters
00:00
Total cuts_time
29 min.
http://us.pycon.org/2012/schedule/presentation/58/
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The Python community is abuzz about the major speed gains PyPy can offer pure Python code. But how does PyPy JIT actually work? This talk will discuss how the PyPy JIT is implemented. It will include descriptions of the tracing, optimization, and assembly generation phases. I will demonstrate each step with a example loop.
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