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Mar 26, 2021 · In this article, we present how we build the LS-CAT (Large-Scale CUDA AutoTuning) dataset sourced from GitHub for the purpose of training NLP- ...
Our dataset includes 19 683 CUDA kernels focused on linear algebra. In addition to the CUDA codes, our LS-CAT dataset contains 5 028 536 associated runtimes, ...
The effectiveness of Machine Learning (ML) methods depend on access to large suitable datasets. In this article, we present how we build the LS-CAT (Large-Scale ...
Mar 26, 2021 · Our dataset includes 19 683 CUDA kernels focused on linear algebra. In addition to the CUDA codes, our LS-CAT dataset contains 5 028 536 ...
This paper implements several custom NLP-ML pipelines to evaluate ML-based thread-coarsening using the LS-CAT dataset, and a custom scoring function.
LS-CAT: A Large-Scale CUDA AutoTuning Dataset. L Bjertnes, JO Tørring, AC Elster. 2021 International Conference on Applied Artificial Intelligence (ICAPAI), 1-6 ...
... GPU code. The LS-CAT (Large-Scale CUDA AutoTuning) dataset [BTE21] uses. CUDA GPU-based kernels and generates a dataset to perform thread-. coarsening. This ...
Dec 5, 2021 · The LS-CAT (Large-Scale CUDA AutoTuning) dataset [BTE21] uses CUDA GPU-based kernels and generates a dataset to perform thread-coarsening.
This paper uses machine learning‐based auto‐tuning to address poor performance portability in heterogeneous computing, and achieves a mean relative error as ...
International Journal of Greenhouse Gas Control 105, 2021. Bjertnes, Lars; Tørring, Jacob; Elster, Anne C. “LS-CAT: A Large-Scale CUDA AutoTuning Dataset”.