This tool can reduce the training time of large-scale machine learning models by half while maintaining performance. This is undoubtedly a significant breakthrough for researchers and developers ...

Abstract: Computing-in-memory (CIM) improves energy efficiency by enabling parallel multiply-and-accumulate (MAC) operations and reducing memory accesses [1 –4]. However, today’s typical neural ...