Fast forward a couple years, and people went, “oh, we can use GPUs for a lot more than processing graphics.” CUDA was released in 2007 to make it easier, but the GPUs didn’t have the hardware for virtual memory, so CUDA didn’t support it either.
There was a thread on mastodon recently where Conor Mcbride was discussing some really cool stuff. I think the intent was to get at something more interesting, but this is the first place I’ve seen thinnings explained in a way without too many complex trappings around and it really clicked with me. I think I had a primed mind to see something useful to my current set of problems and solutions there. It unlocked a torrent of ideas related to lambda egraphs and generalized unions finds that I’m quite excited to talk about in the next couple posts.
，详情可参考新收录的资料
icmp-rca-skill.md# ICMP Analysis Skill
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particles[0].y = 20.0;
I also plan on providing a way to completely override the build stage, which will be useful if you need to output multiple different executables, libraries, etc. One could use this hook to more easily generate configuration files for external build systems, if that integration is important.。关于这个话题，新收录的资料提供了深入分析