{"url":"/dataset/opencl-llmperf","name":"opencl-llmperf","full_name":null,"description_markdown":"A collection of datasets and benchmarks for large-scale Performance Modeling with LLMs.\r\n\r\nThis collection includes these dataset:\r\n1. **github-200K**: a first version dataset that contains ~1300 kernel's execution time with input size - global size correlation and imbalanced data.\r\n2. **github-350k**: a second version dataset continued from the first that fix the imbalanced data problem.\r\n3. **github-400k**: a third version dataset continued from the second that relax the input - global size correlation.\r\n4. **github-600K**: a fourth version dataset that contains ~6000 kernel's execution time with input size - global size correlation and have balanced data.\r\n5. **benchmark-[]**: benchmarks for LLMs performance on Perfomance Modeling task.","description_withheld":null,"homepage":"https://huggingface.co/datasets/minhkhoi1026/opencl-llmperf","introduced_date":"2024-08-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/llmperf-gpu-performance-modeling-meets-large","title":"LLMPerf: GPU Performance Modeling meets Large Language Models","first_author":"Khoi N. M. Nguyen","url":null},"license":{"name":"CC BY","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[],"languages":[],"variants":["opencl-llmperf"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}