TreeLUT: An Efficient Alternative to Deep Neural Networks for Inference Acceleration Using Gradient Boosted Decision Trees

Autor: Khataei, Alireza, Bazargan, Kia

Publikováno v: Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA '25), February 27-March 1, 2025, Monterey, CA, USA

Accelerating machine learning inference has been an active research area in recent years. In this context, field-programmable gate arrays (FPGAs) have demonstrated compelling performance by providing massive parallelism in deep neural networks (DNNs)

Externí odkaz: http://arxiv.org/abs/2501.01511

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