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Programming Throwdown

Programming for the GPU

Programming Throwdown

Patrick Wheeler and Jason Gauci

Objective C, Tech News, Programming Languages, News, Education, How To, C, Python, Programming Throwdown, Java

4.5610 Ratings

🗓️ 25 May 2016

⏱️ 65 minutes

🧾️ Download transcript

Summary

On this episode we invite Mark Harris, Chief Technologist at NVIDIA, to talk about programming for the GPU.

Transcript

Click on a timestamp to play from that location

0:00.0

Episode 54 programming for the GPU. Take it away, Patrick.

0:20.0

We're here today with Mark Harris from

0:22.5

NVIDIA. Mark, why don't you go ahead to introduce yourself and tell us a little bit about

0:25.9

what you do with NVIDIA. Okay, yeah, so my title at NVIDIA is chief technologists for

0:33.2

GPU computing software and my role is kind of twofold. One is inward facing and one is

0:40.0

outward facing. So my inward facing role is to help define our software strategy for

0:46.0

computing at NVIDIA. And so that's for things like Kuta programming, which we'll talk about

0:52.6

more, hopefully. And the other aspect is the external facing role, which is a little bit of evangelism, giving

1:00.0

talks at conferences such as the GPU Technology Conference.

1:05.0

And I also run a blog called Parallel for All, which is on NVIDIA.

1:11.0

Hopefully you guys can drop a link after the show recording.

1:15.4

And on that blog, it's a developer blog written by developers for developers,

1:20.7

and it's a deeply technical blog about parallel programming and GPU programming.

1:26.5

So can you maybe just give us a little bit of background what Nvidia is, what they do

1:31.7

as a company?

1:32.3

I mean, I think most people have heard of them, but they just think of, well, I guess people

1:35.2

don't go to Best Buy anymore, but you go to Amazon or New Egg or whatever the international

1:40.4

equivalent is in Shotsby.

1:42.3

Sorry, Best Buy.

1:44.1

Okay. Yeah, Best Buy. Okay.

1:46.0

Yeah, anyways, kind of tell us who

1:47.9

Nvidia is, like what they do and why Kuda's a thing.

...

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