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kronecker-cuda
cahlen/kronecker-cuda
kronecker-cuda is a machine learning model from cahlen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for kernels. The card lists the license as mit.
Computes Kronecker coefficients g(lambda,mu,nu) for Sn from character tables via GPU-parallel triple-sum.
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Public
Updated Apr 14, 2026
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At a glance
- Library
- kernels
- License
- mit
- Access
- Public
- Created
- Apr 14, 2026
- Updated
- Apr 14, 2026
- SHA
- ad8dab0f
Datasets
Model card
From the Hugging Face model README
Kronecker Coefficients (Symmetric Group)
Computes Kronecker coefficients g(lambda,mu,nu) for S_n from character tables via GPU-parallel triple-sum.
Usage
import torch
from kernels import get_kernel
kernel = get_kernel("cahlen/kronecker-cuda")
result = kronecker.slab(char_table, z_inv, j=0)
Compile (standalone)
nvcc -O3 -arch=sm_90 -o kronecker kronecker/kronecker_gpu.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 Not peer-reviewed.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.
- Library
- kernels
- License
- mit
- Created
- Apr 14, 2026
- Updated
- Apr 14, 2026