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More memory would indeed be a bid deal for ML applications. Found this comment useful as it's not clear to me whether the 'Knights Landing' will actually be co
by conjectures 10y ago
More memory would indeed be a bid deal for ML applications.
Found this comment useful as it's not clear to me whether the 'Knights Landing' will actually be comparable to GPU in terms of pure grunt.
Then I wonder if Nvidia will respond with more memory on their cards. From my totally uninformed perpective, that would seem easier than the transition Intel are trying to go for.
- nl 10y agoThe programming model for GPUs isn't great - since they aren't general purpose platforms you have to keep thinking about moving data around between the GPU memory and the main memory. Intel could bypass that and end up with an easier programming model. But.. believe it when you see it. Note that this is almost entirely about deep learning though. Non DL machine learning is mostly done on CPUs at the moment (with a few exceptions) and generally performs adequately. More speed is always nice, but you don't hear a lot of complaints about XGBoost's speed, or FastText, or VopalWabbit, or the various FTL regression algorithms implemented on CPUs.
- deepnotderp 10y agoYes, but deep learning is clearly the future. I'd love to fully unroll my rnns.