Lightning Talk: Making Friends With CUDA Programmers (please constexpr all the things) Vasu Agrawal

cppcon.org/
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Lightning Talk: Making Friends With CUDA Programmers (please constexpr all the things) - Vasu Agrawal - CppCon 2023
github.com/CppCon/CppCon2023
The `--expt-relaxed-constexpr` flag in nvcc allows `constexpr` code to be used on device, removing the need for explicit _device_ annotations. I'll encourage library authors to annotate more code as `constexpr`, allowing CUDA C++ programmers to use the library directly (rather than writing their own), saving work and thus making friends.
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Vasu Agrawal
Vasu is a research engineer working at the intersection of graphics, machine learning, computer vision, and virtual reality (aka "the Metaverse"), focusing on high-performance, low-latency applications. In his free time, he enjoys watching movies & sci-fi TV shows, learning to play guitar (poorly), and practicing Tae Kwon Do.
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[@andmal8]

Thank you!

[@AlfredoCorrea]

(all?) inline-able functions should be "device" automatically, for that matter. Not sure what the limitation is.

[@skeleton_craftGaming]

I may actually go constexpr my stuff now... this also made me think of how that is also better for perf on the CPU (which is the main reason that I would do it since most of the code that I write is not anything that would be run on the GPU anyway...)

[@yongjack-fi7nd]

at 4:06, std::array is in cpu memory. How GPU can access it in kernel function? It not use cudaMemorycpy copy memory from host to device.

[@yongjack-fi7nd]

copy constructor..

[@hanyanglee9018]

This is big...

[@devon9374]

That's what she said