cdsousa

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 for KernelAbstractions.jl integration.

cdsousa•

on Oct 21, 2020

•on: Why Does Julia Work So Well?

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/

StefanKarpinski•

on Oct 21, 2020

There are many fine languages that have used `end` to delimit blocks, including: Pascal — an elegant, classic language (and my first, personally); Ruby — another gem (get it). And yes, also Matlab, which is hardly unique in this respect.

IshKebab•

on Oct 22, 2020

Right, but Julia is not derived from Ruby or Pascal.

StefanKarpinski•

on Oct 22, 2020

Julia isn't derived from Matlab either and was influenced as much by Ruby as by Matlab.

IshKebab•

on Oct 22, 2020

> derive: base a concept on an extension or modification of (another concept).

Obviously I didn't mean the implementation was based on MATLAB because that would be impossible.

cdsousa•

on Sept 10, 2020

•on: Fast.ai and why Python is not the future of ML wit...

""" [...] 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/CUDA.jl/usage/overview/#The-CuArr...]

As far as I know, that example code creates an ad-hoc kernel that performs the computation in a single pass.

I honestly don't know if that is possible in other frameworks.

ummonk•

on Sept 11, 2020

Yeah, that's definitely available in Python frameworks. (I was wrong to mention Numba - I think CuPy would be a better example: https://docs.cupy.dev/en/stable/overview.html)

cdsousa•

on Sept 11, 2020

That's right, I found it: https://docs.cupy.dev/en/stable/tutorial/kernel.html#kernel-...

cdsousa•

on Feb 15, 2019

•on: Moving from Ruby to Rust

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".

cdsousa•

on Feb 15, 2019

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"

cdsousa•

on Aug 30, 2018

•on: Zero-copy deserialization in Julia

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?

jamii•

on Sept 2, 2018

If you allow codegen in advance it looks pretty similar eg https://capnproto.org/cxx.html

th0ma5•

on Sept 2, 2018

I've used a protobuf library for Arduino that was zero copy... A lot of callbacks to do something with each new thing that's read.

cdsousa•

on June 1, 2018

•on: My favorite things that are coming with Julia 1.0

In part, the fact that there are major problems moving the "giant" to where one would like (speed), e.g., unladen swallow, pypy, pyston, ...