Replication Data for: iMAT: Energy-Efficient In-Memory Acceleration of Ternary Neural Networks With Sparse Dot Product
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下载链接：
https://researchdata.ntu.edu.sg/citation?persistentId=doi:10.21979/N9/B4SIIN
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资源简介：
This dataset contains the simulation environment, simulation results, and post-processing data for the iMAT paper published in ISLPED 2023.
提供机构：
DR-NTU (Data)
创建时间：
2023-05-16
