metadata
license: mit
tags:
- kernels
- cuda
- class-numbers
- real-quadratic-fields
- number-theory
- cohen-lenstra
datasets:
- cahlen/class-numbers-real-quadratic
Class Numbers of Real Quadratic Fields
Computes class numbers h(d) for fundamental discriminants d using continued fraction regulator + Euler product L(1, chi_d).
Usage
import torch
from kernels import get_kernel
kernel = get_kernel("cahlen/class-numbers-cuda")
result = class_numbers.compute(discriminants)
Compile (standalone)
nvcc -O3 -arch=sm_90 -o class_numbers class_numbers/class_numbers_v2.cu -lm
Results
All computation results are open:
- Website: bigcompute.science
- Datasets: huggingface.co/cahlen
- Source: github.com/cahlen/idontknow
Citation
@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 Not peer-reviewed.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.