Viewing profile — tadlan
tadlan
HN member- Joined
- Thu, Nov 20, 2014, 7:20 AM UTC
- HN karma
- 26
- Public activity
- 34 items
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About tadlan
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Recent public activity
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Comment #11290604
Gotcha!
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Comment #11290509
Thanks. I'm not familiar with dynamic linking. What will that do?
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Comment #11290260
Any specific plans for python support?
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Comment #11290196
Or julia. Which is 1000th better than js
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Comment #11290188
It will eventually, iirc
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Comment #11290042
Question please: Even though there is stated desire to support python etc vm, this will be hampered by the need for the client to download the large VM vs native code that can be d…
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Comment #11237708
Have you tried dask?
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Comment #11019424
What about dynd? Iirc doesn't use iteration st all.
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Comment #11004681
Woah!!! Cool
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Comment #10830191
Make sure you use the devect macro or parallel accelerator if you're going to use vector iced code :)
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Comment #10830114
It's not a would and gpod. Numba works like that right now, has better interoperability with python and less context switching. Numba is I easily installed on all systems through c…
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Comment #10830109
Actually, Numba array allocation in nopython mode is allowed now. What other numerical features are missing?
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Comment #10830104
Numba obviate these issues
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Comment #10829507
What would one need to use c or c++ to write a julia package? It's as fast as native code so no need to use multiple languages.
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Comment #10829038
Numba would still be faster. It would fuse away any intermediates in the code and remove any Overhead to the compiled code. also have the option of devecting to loops. both of whic…
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Comment #10828823
Numbs compiles entire functions on and allows array expressions with allocation and loop fusion. I don't see the problem
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Comment #10828663
Use numba to compile python loops or array expressions to fast llvm, and problem solved. I'm sticking with python.
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Comment #10644825
That's just the data structure. Fitting models would be much tougher.
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Comment #10569650
Will julia ever be popular for general computing and Web stuff? It's s till fast for non scientific use cases, has multi threading (in master) and is getting go like channels.
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Comment #10485202
Julia!!!!! The answer to all these problems, both for general and science programming.
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Comment #10389798
Dask has that, and scikit learn is moving that way also. It even beats spark for out of core work on a single machine
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Comment #10389716
There's a dev branch that has been actively developed
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Comment #10270023
Numba has list, Named tuples, and is working on define your own jit classes.
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Comment #10270020
Numba has list, Named tuples, and is working on define your own jit classes.