Guest Editorial Memristive-Device-Based Computing

Abstract

Today’s and emerging computing tasks are extremely demanding in terms of storage, energy efficiency, and computing efficiency; data-intensive/big-data applications and Internet-of-Things are couple of examples. In addition, today’s computer architectures and device technologies are facing major challenges making them incapable to deliver the required functionalities and features. Computers are facing the three well-known walls [1)] : the memory wall, the instruction level parallelism wall, and the power wall. Similarly, nanoscale CMOS technology is facing three walls [2)] : the reliability wall, the leakage wall, and the cost wall. In order for computing systems to continue to deliver sustainable benefits for the foreseeable future society, alternative computing architectures have to be explored in the light of emerging new device technologies. Using memristive device technology [3)] to enable new computing paradigms such as computation-in-memory architecture [4)] – [7)] is one of the emerging alternatives that could provide a huge potential in terms of energy and computing efficiency.