1-Bit Full Adder Circuit using XOR-XNOR Cells with Power and Area Optimization

This paper revel a realization of a superior circuit design of 1 bit full adder. The circuit is planned and implemented by using planar DG –MOSFETs at 45 nm technology. In CPU, arithmetic logic unit (ALU) is the core heart.   The adder cell is the important and necessary unit of an ALU. In the present paper, an improved 1-bit full adder circuit is proposed that consumes lower power and reduced number of transistors. The proposed adder circuit consists of 9 transistors and called as 9-T adder cell.  The planar DG-MOSFETs are new emerging transistors which can work n nanometer range and overcome the short channel effects. The simulation of proposed circuit is done in tanner tool version 13.0 using level 54 model files. The simulation is done to compare power, power delay product with supply voltage. The result is also checked at room temperature. This circuit performance of the proposed circuits compared with other reported circuits in literatures and it is seen approximately more than 99.9% reduction in power consumption. Keywords: Low power; Area Efficent; Full Adder; GDI; Multiplexer

AN APPROACH FOR LOW LEAKAGE POWER BY POWER GATING STACK TECHNIQUE

Clock gating (CG) and power gating (PG) the two most widely used techniques to reduce dynamic power and leakage power respectively, are expected to be integrated together effectively. Normally, the implementation of CG leads to some redundant operations, which provides the opportunity to apply PG. In this brief, we have proposed an activity-driven fine-grained CG and PG integration. For the implementation of XOR-based CG we have intro-duce an optimized bus-specific-clock-gating (OBSC) scheme to improve traditional gating.It chooses only a subset of flip-flops (FFs) to be gated selectively, and the problem of gated FF selection is reduced from exponential complexity into linear. Then those combinational logics, which completely depend on the outputs of gated FFs, are performing redundant operations. They can be power gated, and the clock enable signal generated by OBSC is used as the sleep signal. A minimum average idle time concept is proposed to determine whether the insertion of PG will lead to energy reduction.The simulation results show that 25.07% dynamic power can be reduced by OBSC, and 50.19% active leakage power can be saved by PG

Circuit implementation, operation, and simulation of multivalued nonvolatile static random access memory using a resistivity change device

We proposed and computationally analyzed a multivalued, nonvolatile SRAM using a ReRAM. Two reference resistors and a programmable resistor are connected to the storage nodes of a standard SRAM cell. The proposed 9T3R MNV-SRAM cell can store 2 bits of memory. In the storing operation, the recall operation and the successive decision operation of whether or not write pulse is required can be performed simultaneously. Therefore, the duration of the decision operation and the circuit are not required when using the proposed scheme. In order to realize a stable recall operation, a certain current (or voltage) is applied to the cell before the power supply is turned on. To investigate the process variation tolerance and the accuracy of programmed resistance, we simulated the effect of variations in the width of the transistor of the proposed MNV-SRAM cell, the resistance of the programmable resistor, and the power supply voltage with 180 nm 3.3 V CMOS HSPICE device models. © 2013 Kazuya Nakayama and Akio Kitagawa.© 2013 K. Nakayama and A. Kitagawa

A design approach for fine-grained run-time power gating using locally extracted sleep signals

Abstract — Leakage power dissipation becomes a dominant component in operation power in nanometer devices. This paper describes a design methodology to implement runtime power gating in a fine-grained manner. We propose an approach to use sleep signals that are not off-chip but are extracted locally within the design. By utilizing enable signals in a gated clock design, we automatically partition the design into domains. We then choose the domains that will achieve the gain in energy savings by considering dynamic energy overhead due to turning on/off power switches. To help this decision we derive analytical formulas that estimate the break-even point. For the domains chosen, we create power gating structure by adding power switches and generating control logic to the switches. We experimentally built a design flow and evaluated with a synthesizable RTL code for a microprocessor and a 90nm CMOS device model both used in industry. Results from applying to a datapath showed that the break-even point that achieves the gain exists in the number of enables controlling the power switch. By applying the domains controlled by up to 3 enables achieved the active leakage savings by 83 % at the area penalty by 20%

K-hot pipelining

Computing systems in almost every application domain now support techniques to trade off power and performance. Such techniques are used to enforce power and thermal constraints, manage power and thermal budgets and respond to temperature and aging. Unfortunately, many of the current techniques are limited in the dynamic range they provide and scale poorly with technology. Techniques that can supplement or replace current techniques are needed. We propose k-hot pipelining, a novel technique to support multiple power-performance points in a processor. The key idea is to provide power and clock to only k stages of an m-stage pipeline (k < m); the k stages to be powered on change as instructions flow through the pipeline. Since the remaining m − k stages do not consume power, the technique results in power savings at the expense of performance. k-hot pipelining can be software or hardware-controlled, workload-agnostic or workload-adaptive, and can be used to provide power-performance points not supported by existing techniques. For one implementation of k-hot pipelining, we show that up to 49.9% power reduction is possible over the baseline design. Power reduction is up to 47% over the lowest power point supported by DVFS

Application-specific Design and Optimization for Ultra-Low-Power Embedded Systems

University of Minnesota Ph.D. dissertation. August 2019. Major: Electrical/Computer Engineering. Advisor: John Sartori. 1 computer file (PDF); xii, 101 pages.The last few decades have seen a tremendous amount of innovation in computer system design to the point where electronic devices have become very inexpensive. This has brought us on the verge of a new paradigm in computing where there will be hundreds of devices in a person’s environment, ranging from mobile phones to smart home devices to wearables to implantables, all interconnected. This paradigm, called the Internet of Things (IoT), brings new challenges in terms of power, cost, and security. For example, power and energy have become critical design constraints that not only affect the lifetime of an ultra-low-power (ULP) system, but also its size and weight. While many conventional techniques exist that are aimed at energy reduction or that improve energy efficiency, they do so at the cost of performance. As such, their impact is limited in circumstances where energy is very constrained or where significant degradation of performance or functionality is unacceptable. Focusing on the opposing demands to increase both energy efficiency and performance simultaneously in a world where Moore’s law scaling is decelerating, one of the underlying themes of this work has been to identify novel insights that enable new pathways to energy efficiency in computing systems while avoiding the conventional tradeoff that simply sacrifices performance and functionality for energy efficiency. To this end, this work proposes a method to analyze the behavior of an application on the gate-level netlist of a processor for all possible inputs using a novel symbolic hardware-software co-analysis methdology. Using this methodology several techniques have been proposed to optimize a given processor-application pair for power, area and security

Dependable design for low-cost ultra-low-power processors

Emerging applications in the Internet of Things (IoT) domain, such as wearables, implantables, smart tags, and wireless sensor networks put severe power, cost, reliability, and security constraints on hardware system design. This dissertation focuses on the architecture and design of dependable ultra-low power computing systems. Specifically, it proposes architecture and design techniques that exploit the unique application and usage characteristics of future computing systems to deliver low power, while meeting the reliability and security constraints of these systems. First, this dissertation considers the challenge of achieving both low power and high reliability in SRAM memories. It proposes both an architectural technique to reduce the overheads of error correction and a technique that uses the nature of error correcting codes to allow lower voltage operation without sacrificing reliability. Next, this dissertation considers low power and low cost. By leveraging the fact that many IoT systems are embedded in nature and will run the same application for their entire lifetime, fine-grained usage characteristics of the hardware-software system can be determined at design time. This dissertation presents a novel hardware-software co-analysis based on symbolic simulation that can determine the possible states of the processor throughout any execution of a specific application. This enables power-gating where more gates are turned off for longer, bespoke processors customized to specific applications, and stricter determination of peak power bounds. Finally, this dissertation considers achieving secure IoT systems at low cost and power overhead. By leveraging the hardware-software co-analysis, this dissertation shows that gate-level information flow security guarantees can be provided without hardware overheads