Floating-Point Multiply-Add with Approximate Normalization for Low-Cost Matrix Engines

Kosmas Alexandridis, Christodoulos Peltekis, Dionysios Filippas +1

The widespread adoption of machine learning algorithms necessitates hardware acceleration to ensure efficient performance. This acceleration relies on custom matrix engines that op…