A racetrack memory based in-memory booth multiplier for cryptography application

Security is an important concern in cloud computing nowadays. RSA is one of the most popular asymmetric encryption algorithms that are widely used in internet based applications for its public key strategy advantage over symmetric encryption algorithms. However, RSA encryption algorithm is very compute intensive, which would affect the speed and power efficiency of the encountered applications. Racetrack Memory (RM) is a newly introduced promising technology in future storage and memory system, which is perfect to be used in memory intensive scenarios because of its high data density. However, novel designs should be applied to exploit the advantages of RM while avoiding the adverse impact of its sequential access mechanism. In this paper, we present an in-memory Booth multiplier based on racetrack memory to alleviate this problem. As the building block of our multiplier, a racetrack memory based adder is proposed, which saves 56.3% power compared with the state-of-the-art magnetic adder. Integrated with the storage element, our proposed multiplier shows great efficiency in area, power and scalability.