Switching event detection and self-termination programming circuit for energy efficient ReRAM memory arrays

Energy efficiency remains a challenge for the design of non-volatile resistive memories (ReRAMs) arrays. This memory technology suffers from intrinsic variability in switching speed, programming voltages and resistance levels. The programming conditions of memory elements (e.g. pulse widths and amplitudes) must cover the tail bits to avoid programming failures. Switching time of ReRAMs shows wide distributions. Therefore, fast cells are subjects for electrical stress after their switching and energy waste since programming currents are typically large for this technology (tens of µA). In this paper, we present a Write Termination (WT) circuit to stop the programming operation when the switching event occurs in the selected memory element. The proposed design is sensitive to current variations that take place when the memory element switches between two different resistance states (LRS and HRS). This WT scheme reduces the power consumption by 97+%, 93+% and 65+% during Forming, RESET and SET operations respectively. Our estimations show that area efficiency of 70% for a memory array is achievable when the presented WT circuit is integrated in near-memory peripheries. The demonstrated WT circuit is suitable for different ReRAM technologies with small overhead penalty and shows robustness against CMOS and ReRAM variabilities

Reconfigurable writing architecture for reliable RRAM operation in wide temperature ranges

Resistive switching memories [resistive RAM (RRAM)] are an attractive alternative to nonvolatile storage and nonconventional computing systems, but their behavior strongly depends on the cell features, driver circuit, and working conditions. In particular, the circuit temperature and writing voltage schemes become critical issues, determining resistive switching memories performance. These dependencies usually force a design time tradeoff among reliability, device endurance, and power consumption, thereby imposing nonflexible functioning schemes and limiting the system performance. In this paper, we present a writing architecture that ensures the correct operation no matter the working temperature and allows the dynamic load of application-oriented writing profiles. Thus, taking advantage of more efficient configurations, the system can be dynamically adapted to overcome RRAM intrinsic challenges. Several profiles are analyzed regarding power consumption, temperature-variations protection, and operation speed, showing speedups near 700x compared with other published drivers