eBFP: A Processing-in-Memory Storage Method with Parallel Computing and Low Latency

With the development of the sixth Generation (6G) mobile communication, big data and deep learning, new requirements for latency and computational complexity have been put forward. Therefore, in this paper, we propose a new floating-point storage called extended block floating-point (eBFP). This article first briefly introduces the storage method of the IEEE Standard for Floating-point Arithmetic (IEEE-754) floating-point numbers and its shortcomings, and then details the storage method of the eBFP operator and its specific operation logic. Finally, a simulation comparison with IEEE-754 floating-point number shows the advantage of eBFP to better trade-off accuracy and complexity.