cdsousa

4 ms·

1.
by cdsousa 3y ago
Wrong link, no? Shouldn't it be https://discourse.julialang.org/t/one-does-not-simply-walk-i... ?
2.
by cdsousa 4y ago
We are free to come up with myths about the name origin. My favorite one is that it comes from Julia character of George Orwell's 1984 novel :D
3.
by cdsousa 5y ago
This presentation is only a few days old.
4.
by cdsousa 6y ago
Julia multiple dispatch allows dynamic polymorphism. Check https://stackoverflow.com/questions/1801216/what-is-the-diff... and https://www.youtube.com/watch?v=kc9HwsxE1OY
5.
by cdsousa 6y ago
This is very good news for people like me who would like to play with GPU kernels and arrays but usually have no access to NVIDIA/AMD hardware. (Although specific Intel hardware and Linux is being required for now.) I'm waiting fo
6.
Introducing: oneAPI.jl (a Julia package for programming Intel GPUs)(juliagpu.org)
11 points by cdsousa 6y ago|1 comments
7.
by cdsousa 6y ago
AFAIK it is the opposite of what you have said. And although Julia has a lot of inspiration of Matlab syntax, it is absolutely not derived from it. https://julialang.org/blog/2012/02/why-we-created-julia/
8.
Julia GPU(notamonadtutorial.com)
131 points by cdsousa 6y ago|26 comments
9.
by cdsousa 6y ago
That's right, I found it: https://docs.cupy.dev/en/stable/tutorial/kernel.html#kernel-...
10.
by cdsousa 6y ago
""" [...] it is possible to perform kernel-like operations without actually writing your own GPU kernels: a = CUDA.zeros(1024) b = CUDA.ones(1024) a.^2 .+ sin.(b) """ [ https://juliagpu.gitlab.io&#x2F
11.
by cdsousa 8y ago
Or maybe it should be "When on an online discussion someone mentions Julia, the probability of that discussion turning into a 0-based versus 1-based indexing discussion is 1"
12.
by cdsousa 8y ago
There seems to be a kind of Godwin's law for Julia that states that "When on an online discussion someone mentions Julia, the probability of a complaint about 1-based indexing is 1".
13.
by cdsousa 8y ago
That is pretty amazing! I wonder how would it look like if it was written in C. Anyone has some links to "Blobs" implementations in C?
14.
Think Julia: How to Think Like a Computer Scientist(benlauwens.github.io)
207 points by cdsousa 8y ago|70 comments
15.
by cdsousa 8y ago
In part, the fact that there are major problems moving the "giant" to where one would like (speed), e.g., unladen swallow, pypy, pyston, ...
16.
by cdsousa 8y ago
Ha, ah! After a more careful read, I noticed this: "with the speed of C or Ruby"... I'm pretty sure Ruby performance was never a positive characteristic anywhere (right?). I wonder if this is a writing error or the journalist
17.
by cdsousa 8y ago
“Those people were our early converts—people who came for performance". That was entirely my case. After being using Python for a while and dropping to Cython in the performance bottlenecks (and evaluating other options), I was really
18.
by cdsousa 9y ago
In Julia: while true; print(rand(Bool) ? '╲' : '╱'); end