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The One-Decade Task: Putting std::atomic in CUDA. - Olivier Giroux - CppCon 2019

CppCon · 10.9K views · 2019-09-28 · 1:05:39

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Overview

Olivier Giroux's CppCon 2019 talk recounts the roughly ten-year effort to bring std::atomic and the C++ memory model to CUDA GPUs, through ten stories from that work.

On Hacker News

Cited as a reference when discussing NVIDIA's C++ memory model, libcu++, and GPU C++ resources.

Discussed on HN; no positive recommendation is recorded in this export · HN mentions 2019–2022

Topics

C, C++, Rust, Go & systems languagesComputer architecture & CPUs
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cudastd::atomicc++concurrencynvidiacppcon

What people said

moonchild · 2022-10 · Reference

> I really wish that everybody would finally admit that the "fixed function pipeline" is dead There is a great deal of space between 'fixed function pipeline' (which no one is using) and 'all compute all the time' (which pretty much no one is using for real-time graphics either). > GPUs don't yet have a well-defined memory model Nvidia has a memory model. (I have heard--from an nvidia employee--that amd plays a bit more fast and loose.) [VIDEO] > GPUs don't have the equivalent of an MMU--so they can't be partitioned or protected. etc. You do not need an MMU to partition or to protect. (Not to say that GPU security isn't a shitshow.) > The problem is that switching to a "compute" model and making that work well would commodify the GPU--and that's the last thing that AMD and NVIDIA want. [LINK] look at where nvidia's revenue is coming from, and tell me again that they're not already there.

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pjmlp · 2021-08 · Reference

Sure, "CppCon 2016: “Bringing Clang and C++ to GPUs: An Open-Source, CUDA-Compatible GPU C++ Compiler" [LINK] "CppCon 2019: Olivier Giroux “The One-Decade Task: Putting std::atomic in CUDA.”" [VIDEO] "Octane render. The Future of GPU Rendering: Real-Time Raytracing" (with CUDA) [LINK] NVIDIA HPC SDK [LINK]

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pjmlp · 2021-04 · Reference

CppCon 2019: Olivier Giroux “The One-Decade Task: Putting std::atomic in CUDA.” [VIDEO] Future of ISO and CUDA C++ [LINK] Thrust, the CUDA C++ template library [LINK] Optix, single-ray shader programming model using C++, and ray Tracing acceleration using RT Cores. [LINK] Phew, so many wrappers yet to list.

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Video by CppCon, played through YouTube.

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