#113: Dedicated AI chips and running old Python faster at Intel

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 27 May 2017

⏱️ 53 minutes

🔗️ Recording | iTunes | RSS

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Summary

Where do you run your Python code? No, not Python 3, Python 2, PyPy or the other implementations. I'm thinking waaaaay lower than that. This week we are talking about the actual chips that execute our code.

Transcript

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0:00.0	Where do you run your Python code?
0:01.4	No, no, no, not Python 3, Python 2 or Pi Pi or any other implementation.
0:05.8	I'm thinking way lower than that.
0:08.2	This week we're talking about the actual chips that execute our code.
0:12.1	We catch up with David Stewart and meet Suresh, Srinivas and Sergei Mnobh from Intel.
0:18.0	We talk about how they're working at the silicon level to make even
0:20.8	Python 2 run faster and touch on dedicated AI chips that go beyond what's possible with GPU
0:26.6	computation. This is episode 113 of Talk Python to Me, recorded live at Pycon 2017 in
0:34.8	Portland, Oregon on May 19th, 2017.
0:39.1	I'm a developer, developers, developers, developers, developers.
0:41.6	I'm a developer in many senses of the word because I make these applications, but I also use these verbs to make this music.
0:49.4	I constructed line by line, just like when I'm coding another software design.
0:53.9	In both cases, it's about design patterns.
0:57.1	Anyone can get the job done.
0:58.4	It's the execution that matters.
1:00.1	I have many interests.
1:01.5	Sometimes it can flex.
1:02.4	Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the
1:07.5	ecosystem, and the personalities.
1:09.9	This is your host, Michael Kennedy.
1:11.4	Follow me on Twitter where I'm at M. Kennedy.
1:13.5	Keep up with the show and listen to past episodes at talk python.fm.
	...

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