James Schloss

Emojicode operations unreadable with code block color

2

# Bug Report ## Description The codeblock coloring renders emojicode operations (✖️, ➕, ✖️,◀️...) unreadable. ### Steps to Reproduce Steps to reproduce the behavior: 1. Go to https://www.algorithm-archive.org/contents/monte_carlo_integration/monte_carlo_integration.html (or similar...

Mathjax not supported within method fortheme-api

2

# Bug Report Mathjax (LaTeX) does not seem to work in the method blocks for the theme-api ## Description The following will only show the part of the method section...

Code comments

4

We have been doing a poor job of commenting code in the AAA. I understand that some code is self-explanatory, but because many people may be learning new languages along...

Algorithms that require plotting

21

Hey guys, There are a few algorithms in the archive that require plotting and a few more are on the way. Obviously, not all languages come with a plotter, so...

adding atomix tests

4

This is a separate PR for the atomix tests from #306. Still needed tests: * [ ] inc * [ ] dec * [ ] and * [ ] or...

Atomic attempts 3

5

This re-implements the `atomic_...` functions from #282 so I can keep using them if I need for testing down the road. Also: I can't quite get atomix to work for...

tuples with multiple functions cannot be accessed on the GPU with a complicated symbol

5

MWE: ``` using KernelAbstractions, CUDA, CUDAKernels @kernel function f_test_kernel!(input, tuple_thingy, tuple_size) tid = @index(Global, Linear) meh = tid%tuple_size+1 input[tid] = tuple_thingy[meh](tid) end function test!(input, tuple_thingy, tuple_size; numcores = 4, numthreads...

Types as arguments fail on GPU

2

I feel like this must be known somewhere, but I couldn't find the issue in my quick search. Here's a MWE: ``` using Test using CUDA using CUDAKernels using KernelAbstractions...

@uniforms dependent on @index values fail

2

I may have missed something important, but this code is currently failing on the CPU ``` using KernelAbstractions @kernel function f_test_kernel!(input) tid = @index(Global, Linear) @uniform a = tid end...

Here's the mwe: ``` using Test using CUDA using CUDAKernels using KernelAbstractions function check(input, tid) end @kernel function f_test_kernel!(input) tid = @index(Global, Linear) check(input[:], tid) end function f_test!(input; numcores =...