cahlen/zaremba-conjecture-data
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How to use cahlen/zaremba-cayley-cuda with Kernels:
# !pip install kernels
from kernels import get_kernel
kernel = get_kernel("cahlen/zaremba-cayley-cuda")Computes Cayley graph diameters for the Zaremba generators {1,...,5} acting on SL(2, Z/pZ) via GPU-parallel BFS.
import torch
from kernels import get_kernel
kernel = get_kernel("cahlen/zaremba-cayley-cuda")
result = cayley.diameter(primes)
nvcc -O3 -arch=sm_90 -o zaremba_cayley cayley_diameter/cayley_gpu.cu -lm
All computation results are open:
@misc{humphreys2026bigcompute,
author = {Humphreys, Cahlen},
title = {bigcompute.science: GPU-Accelerated Computational Mathematics},
year = {2026},
url = {https://bigcompute.science}
}
Human-AI collaborative. Not peer-reviewed. All code and data open.