dklend122

13 ms·

91.
by dklend122 6y ago
It currently has problems with some classes of models on the GPU, but this is just due to memory management and is going to fixed soon. Julia is natively compiled, so doesn't use a tape, tracing, or for memory management simple ref co
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by dklend122 6y ago
Can we please have Julia support? :)
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What scientists must know about hardware to write fast code(biojulia.net)
1 points by dklend122 6y ago|0 comments
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by dklend122 7y ago
Google is working on multiplatform support for swift, and apple seems to be on board.
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by dklend122 7y ago
You can't. It won't be available for at least a year I'm guessing. Even then I'm not sure what granularity MLIR will allow. On the other hand you can do it in Julia today. There is a high-level kernel compiler and array
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by dklend122 7y ago
It would be helpful for people looking to invest time in this language if you would just call it out. Or if you'd prefer, we can do it over some private messaging medium. I suspect I know which, but not sure. Also would like to know m
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by dklend122 7y ago
How about swift Android?
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by dklend122 7y ago
Google hired that developer. "As for Google, I still don't believe that they are that committed as well, " They have any approximately 10+ person team, many of whom are new hires from apple etc. Even for Google that's a
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by dklend122 7y ago
I wouldn't expect to see it yet
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by dklend122 7y ago
I'd be interested in reading this as well. In the past legitimate critical blog posts have made a positive impact on the Julia community.
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by dklend122 7y ago
It's not JUST google and apple, I'm sure they have enough cash and expertise and will to create enough momentum to attract more domain experts in other areas. Especially once google brain and deepmind start working on things mor
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by dklend122 7y ago
> Who is going to make the scientific ecosystem? Google and apple. Apple already is working on a swift-numerics package. Look at TF python and jax. They've re-implemented chunks of scipy and numpy twice, hired people to work on plo
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by dklend122 7y ago
The difference is that S4TF is an internal google team. I can't imagine they wouldn't coordinate with the android team, especially given the benefits that easy ML will bring to apps.
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by dklend122 7y ago
I think google will invest in the scientific ecosystem since they've shown some interest for diff programming using scientific models, and these are becoming more mainstream, even in pytorch. The ML stuff is just a start.
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by dklend122 7y ago
>Tensorflow Summit came and went with zero information on Swift for Tensorflow, it was all about JavaScript, C++ and Python. It was truncated to one day when they made it virtual. There were swift announcements slated for day 2, which wa
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by dklend122 7y ago
If my scenario holds, at some point Swift's scientific computing ecosystem will rival and overtake Julia's. I don't see the ML ecosystem developing in isolation because there's going to be overlap, especially as more an
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by dklend122 7y ago
Julia is an amazing, elegant and beautiful language. It's almost perfectly suited for scientific computing and ML. However, I'm not very bullish on its future given s4tf Swift can get you 90% of the way there, and that extra 10% c