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ConvBench

ConvBench is a comprehensive benchmark for evaluating and comparing convolution algorithms. It assesses 9243 convolution operations derived from 1097 real-world deep learning models.

Data and Resources

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Cite this as

Lucas Alvarenga, Victor Ferrari, Rafael Souza, Marcio Pereira, Guido Araujo (2024). Dataset: ConvBench. https://doi.org/10.57702/x4dt0k1p

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2407.10730
Author	Lucas Alvarenga
More Authors	Victor Ferrari Rafael Souza Marcio Pereira Guido Araujo