Lightning Talk: Making Friends With CUDA Programmers (please constexpr all the things) Vasu Agrawal
Ғылым және технология
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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Пікірлер: 10
Thank you!
(all?) inline-able functions should be "device" automatically, for that matter. Not sure what the limitation is.
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...)
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
19 күн бұрын
copy constructor..
@shirasabdurahman8529
13 сағат бұрын
std::array is static-allocated array. It is similar to passing a struct to CUDA kernel which will be copied to global memory or registers. I do not think you can pass a dynamic-allocated std::vector to a CUDA kernel. This is my opinion.
This is big...
@devon9374
6 күн бұрын
That's what she said
@shakeb1562
2 күн бұрын
How?