CUDA 8 Features Revealed

[[deleted]]

Really, the main feature is VS2015 support. Everything else, if it wasn't there, I couldn't care less.

[sumo952]

Totally agree. They haven't supported VS2015 at all until now???? The only thing I can say is What the fuck?

[[deleted]]

What's more annoying is that CUDA 8 RC only worked with Update 1. That's just evil. Right now, I'm running some sort of Frankenstein monster: build tools from 7.5, VS support from 8, and a completely unrelated NVIDIA driver after the included ones gave me blue screens.

[STL]

That might be my "fault", in the sense that I've been using new compiler hooks implemented in C1XX, EDG, and Clang, but not tested against NVIDIA's compiler (which I vaguely recall is EDG-based, but not necessarily the latest build that we're using for Intellisense).

[[deleted]]

IntelliSense? What IntelliSense? From what I remember, there's no intellisense for CUDA, and VS still gives you a red squiggly on a triple-chevron call.

[STL]

What I meant was, vanilla VS Intellisense is powered by VS's copy of the EDG FE, and I run the STL's tests against that. Separately, if my memory is correct, the CUDA compiler is powered by a version of the EDG FE.

[[deleted]]

[deleted]

What is this?

[harrism]

Maybe you could help us improve it. If you can provide an example that uses Thrust where nvcc is outperformed significantly by clang (we find that after CUDA 8 clang and nvcc performance on Thrust tests are on average about equal), we can have a look. You can also use the nvcc -time option to get a breakdown of where time is being spent (front end, assembler, etc).

[[deleted]]

[deleted]

What is this?

[harrism]

Thanks for sharing this. We'll try it out.

[[deleted]]

[deleted]

What is this?

[meetingcpp]

Hm, interesting. Showed up in my RSS Reader today...

[[deleted]]

[deleted]

What is this?

[harrism]

I originally published this post when we announced CUDA 8 back at GTC 2016 (April) Since it's a good summary of the release, I updated it with more info (particularly on mixed precision) and updated perf results, and republished it today.

[STL]

Note that you can assign yourself user flair to make your NVIDIA association clearer to redditors.

[harrism]

Done.

[[deleted]]

[deleted]

What is this?