Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations

Shien Zhu, Shiqing Li & Weichen Liu
The simulation code, experiment results, and graphs used in the GLSVLSI 2022 paper: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations
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9 downloads reported since publication in 2022.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?