kernels
Datasets
All datasets matching “kernels”lin-alg-kernels-coreKernel-Smith-SFT-71KIf this work is useful to you, please cite:
@article{DBLP:journals/corr/abs-2603-28342,
author = {He Du and
Qiming Ge and
Jiakai Hu and
Aijun Yang and
Zheng Cai and
Zixian Huang and
Sheng Yuan and
Qinxiu Cheng and
Xinchen Xie and
Yicheng Chen and
Yining Li and
Jiaxing Xie and… See the full description on the dataset page: https://huggingface.co/datasets/CoopReason/Kernel-Smith-SFT-71K.kern-kernels
kern-kernels
Reproducible attention kernel recipes, ABI manifests, checksums and measured
results. First profile: GB300 / Qwen3.8-27B / BF16 / Q24-KV4-D256 / page 64.
Uses unmodified TRTLLM-GEN full attention, not MLA. The model's GDN layers are
unchanged. Model weights and the base export's other kernels are not included.
NVIDIA binaries are downloaded directly from pinned upstream URLs and verified
by SHA256; this repository does not mirror them. The small Apache-2.0 vLLM KV… See the full description on the dataset page: https://huggingface.co/datasets/susun-123/kern-kernels.kernel_synth_annotated
KernelSynth (annotated)
One million synthetic univariate time series, each 1024 points long, drawn from a Gaussian
process prior whose kernel is a random composition of up to five base kernels. This is the
KernelSynth procedure from Chronos with one addition:
the generating kernel is kept alongside each series. The ground-truth structure behind
every series is therefore known, which makes the corpus usable for interpretability work
rather than only for pretraining.… See the full description on the dataset page: https://huggingface.co/datasets/felixdivo/kernel_synth_annotated.titans-memory-kernels
Titans Memory Kernel - Nova Lineage
Evolved memory kernels for the Titans Memory system.
Structure
nova_prime.safetensors - The Prime kernel (16M params, 4096 dim)
nova_v1.safetensors - Production-hardened V1 (identity preserved)
REGISTRY.jsonl - Lineage registry with metadata
variants/ - 137 generation snapshots from evolution
Parameters
Dimensions: 4096
Memory Size: ~65MB per kernel
Evolution: Hardened with decay=0.99999, lr=0.0001
Usage
from… See the full description on the dataset page: https://huggingface.co/datasets/ADAPT-Chase/titans-memory-kernels.kernelstrain
KernelStrain
Long-horizon GPU kernel optimization trajectories for training small models to iterate on CUDA and Triton kernels.
KernelStrain is a large synthetic dataset of kernel-optimization episodes: given a kernel task (shapes, dtype, GPU target, baseline code + timing), a model proposes successive complete kernel candidates, observes simulated benchmark / correctness / compile feedback, and keeps improving over many steps — structural rewrites, parameter sweeps, joint… See the full description on the dataset page: https://huggingface.co/datasets/Akahsizrr/kernelstrain.