datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fpga_cost_model_kernel_data_attention_p2
FPGA HLS Kernel Cost-Model Data
Evolved Vitis HLS C++ kernels paired with their ground-truth Vitis HLS
csynth results. Each row is one generated program from an evolutionary FPGA
optimisation run, linked to its kernel source, evaluator report.json, and raw
synthesis report.
Each row carries a split label: train marks the original benchmarks used
to fit the analytical cost model's learned correction term, and holdout marks
benchmarks added afterwards that were not used for… See the full description on the dataset page: https://huggingface.co/datasets/adimnaku/fpga_cost_model_kernel_data_attention_p2.cy-sieve-attention-benchmark
CY-Sieve Attention — GPU benchmark results (NVIDIA L4, 2026-06-22)
Benchmark artifacts for the CY-Sieve positional-attention kernel, a falsifiable
engineering experiment from the Mirror-Map-Sieve
project. The bias derives from the weight-5 Apéry-like sequence
$S_{20}(n)=\sum_k \binom{n}{k}^4\binom{n+k}{k}$ (a Calabi–Yau 3-fold period;
the geometry fixes the long-range decay slope $\log\lambda=3.762$ and curvature
$\beta=2$).
⚠️ Headline: this is a documented NEGATIVE… See the full description on the dataset page: https://huggingface.co/datasets/callensxavier/cy-sieve-attention-benchmark.osdi-attention-08-qwen-qwen3-30b-a3b-instruct-2507-h200-nvlosdi-attention-08-qwen-laama-h200-nvldev-attention-bandwidth-h200-nvl-pcidev-attention-meta-llama-meta-llama-3-8b-instruct-h200