Severe security threats and alerts associated with the use of smart devices have drawn increasing public attentions since the inception of Internet of Things (IoT) in late 1990s. IoT …
Approximate computing is a new paradigm for designing energy-efficient integrated circuits at the nanoscale. In this paper, we propose efficient imprecise 4: 2 and 5: 2 compressors by …
Approximate computing is a new trend that trades off computational accuracy for lower energy dissipation and design complexity in various applications, where high precision is …
This paper explores an ultra-low-power 10T subthreshold SRAM with high stabilities based on 10-nm FinFETs. To prove the superiority of the proposed 10T SRAM's performance, a …
E Abbasian, M Gholipour, S Birla - Arabian Journal for Science and …, 2022 - Springer
Static random-access memories (SRAMs), which are the most ubiquitous in modern system- on-chips, suffer from high power dissipation and poor stability in advanced complementary …
This paper presents a single-ended low-power 7T SRAM cell in FinFET technology. This cell enhances read performance by isolating the storage node from the read path. Moreover …
E Abbasian - IEEE Transactions on Circuits and Systems I …, 2022 - ieeexplore.ieee.org
This paper aims to explore the design of a novel highly stable low-energy 10T (SLE10T) SRAM cell for near-threshold operation. The latch core of the proposed design consists of a …
In this paper, a robust 12T-SRAM memory cell at sub-threshold voltage is designed to reduce power consumption for low power applications, that in addition to reducing power …
This paper proposes a modified Schmitt-trigger (ST)-based single-ended 11 T (MST11T) SRAM cell. The proposed cell is best suited to ultra-low voltage applications. Two ST-based …