#57: Python performance from the inside-out at Intel

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 5 May 2016

⏱️ 57 minutes

🔗️ Recording | iTunes | RSS

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Summary

When you think about the performance of your software, there is nothing more low level and fundamental than how your code executes on the CPU itself. Many of us study and try to understand how to maximize performance at this low level. But few are in a position to define what happens at this level.

Transcript

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0:00.0	When you think about the performance of your software, there's nothing more low-level and fundamental
0:05.0	than how your code executes on the CPU itself. Many of us study and try to understand how to
0:10.6	maximize performance at this low level, but few are in a position to define what actually
0:15.9	happens there. That's why I'm thrilled to share the work that Intel, the largest PC chip manufacturer,
0:22.0	is doing specifically to make Python faster and to make their chips execute Python code even better.
0:28.1	This week you'll meet David Stewart, engineering manager in the Intel Data Center Software
0:32.7	Technology Group at Intel. We'll discuss a wide variety of work Intel is doing in open source and Python.
0:39.5	This is Talk Python to Me, episode 57 recorded May 2nd, 2016.
0:46.9	I'm a developer, developers, developer, in many senses of the word, because I make these
0:53.4	applications, but I also use these verbs
0:55.7	to make this music.
0:57.2	I constructed line by line, just like when I'm coding another software design.
1:01.8	In both cases, it's about design patterns.
1:04.8	Anyone can get the job done.
1:06.2	It's the execution that matters.
1:08.0	I have many interests.
1:09.2	Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.
1:16.8	This is your host, Michael Kennedy.
1:18.4	Follow me on Twitter where I'm at M. Kennedy.
1:20.5	Keep up with the show and listen to past episodes at TalkPython.fm.
1:24.1	And follow the show on Twitter via At Talk Python.
1:29.9	This episode has been brought to you by snap c i and now metis thank them for supporting the show on twitter via snap underscore ci and this is metis
	...

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