PickVidsThe One-Decade Task: Putting std::atomic in CUDA. - Olivier Giroux - CppCon 2019
推荐理由
NVidia is designing their GPGPUs to run C++ code
说明
这是2019年由CppCon发布的一部演讲，主题归在C, C++, Rust, Go & systems languages。它讲的是gpu memory model这一支里的具体问题，而不是把整个领域扫一遍。适合想看推导、证明或实现细节的人。内容上可以概括成：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.这些读者给出的理由，核心是：Cited as a reference when discussing NVIDIA's C++ memory model, libcu++, and GPU C++ resources.讲法不绑某一条新闻，过几年仍然可以当材料看。从2019年到2022年，有0位不同的读者在0个不同月份把它推荐出来，其中明确叫别人去看的有0次。适合一次性看完。讲者把一个判断讲透，演示是在给这个判断配例子。如果已经会了基本定义，就把注意力放在它怎么把gpu memory model变成能跟着复述的例子。
视频信息
- 频道
- CppCon
- 时长
- 1 小时 5 分
- 发布年份
- 2019
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