Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques
Summary
Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques is a scholarly article[1].
Key Facts
Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-execution-time-predictions-on-gpu-kernels-using-an-analytical-model-and-machine-learning-techniques
MLA“Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-execution-time-predictions-on-gpu-kernels-using-an-analytical-model-and-machine-learning-techniques.
BibTeX@misc{4ortxyz_evaluating-execution-time-predictions-on-gpu-kernels-using-an-analytical-model-and-machine-learning-techniques_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-execution-time-predictions-on-gpu-kernels-using-an-analytical-model-and-machine-learning-techniques}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques — https://4ort.xyz/entity/evaluating-execution-time-predictions-on-gpu-kernels-using-an-analytical-model-and-machine-learning-techniques (retrieved 2026-05-24)
