Efficient complementary resistive switch-based crossbar array Booth multiplier

Recent advances of memristive devices allow high endurance, non-volatile storage and low leakage power. Thus, these devices are suitable candidates for in-memory computing. Several recent studies explored the usage of memristive crossbar array for approximate and neuromorphic computing, including approximate matrix-vector multiplication. However, accurate digital circuit realization using device-level simulation, accounting for more realistic ReRANI device behavior, is only studied for adder circuits so far. In this paper, we report the first study of a multiplier scheme with complementary resistive switch-based crossbar arrays. An efficient mapping of Booth multiplication algorithm with different area-timing trade-offs, is discussed. Simulation studies are performed using 4-bit numbers to validate our approach.