Designing Tunable Subthreshold Logic Circuits Using Adaptive Feedback Equalization

Designing Tunable Subthreshold Logic Circuits Using Adaptive Feedback Equalization

ABSTRACT:

Ultralow-power subthreshold logic circuits are becoming prominent in embedded applications with limited energy budgets. Minimum energy consumption of digital logic circuits can be obtained by operating in the subthreshold regime. However, in this regime process variations can result in up to an order of magnitude variations in ION/IOFF ratios leading to timing errors, which can have a destructive effect on the functionality of the subthreshold circuits. These timing errors become more frequent in scaled technology nodes where process variations are highly prevalent. Therefore, mechanisms to mitigate these timing errors while minimizing the energy consumption are required. In this paper, we propose a tunable adaptive feedback equalizer circuit that can be used with a sequential digital logic to mitigate the process variation effects and reduce the dominant leakage energy component in the subthreshold digital logic circuits. We also present detailed energy-performance models of the adaptive feedback equalizer circuit. As part of the modeling approach, we also develop an analytical methodology to estimate the equivalent resistance of MOSFET devices in subthreshold regime. For a 64-bit adder designed in 130 nm, our proposed approach can reduce the normalized variation of the critical path delay from 16.1% to 11.4% while reducing the energy-delay product by 25.83% at minimum energy supply voltage. The proposed architecture of this paper the area and power consumption are analysis using tanner tools.

PROJECT OUTPUT VIDEO: (Click the below link to see the project output video):

ENHANCEMENT OF THE PROJECT:

Use different combinational circuits.

EXISTING SYSTEM:

Combinational logic refers to circuits whose output is strictly depended on the present value of the inputs. As soon as inputs are changed, the information about the previous inputs is lost, that is, combinational logics circuits have no memory. In many applications, information regarding input values at a certain instant of time is required at some future time. Although every digital system is likely to have combinational circuits, most systems encountered in practice also include memory elements, which require that the system be described in terms of sequential logic. Circuits whose outputs depend not only on the present input value but also the past input value are known as sequential logic circuits. The mathematical model of a sequential circuit is usually referred to as a sequential machine.

An edge-triggered flip-flop changes states either at the positive edge (rising edge) or at the negative edge (falling edge) of the clock pulse on the control input. The three basic types are introduced here: S-R, J-K and D.

The S-R, J-K and D inputs are called synchronous inputs because data on these inputs are transferred to the flip-flop’s output only on the triggering edge of the clock pulse. On the other hand, the direct set (SET) and clear (CLR) inputs are called asynchronous inputs, as they are inputs that affect the state of the flip-flop independent of the clock. For the synchronous operations to work properly, these asynchronous inputs must both be kept LOW.

Subthreshold digital circuits suffer from the degraded ION/IOFF ratios resulting in a failure in providing rail-to-rail output swings when restricted by aggressive timing constraints. These degraded ION/IOFF ratios and process-related variations make subthreshold circuits highly susceptible to timing errors that can further lead to complete system failures. Since the standard deviation of VT varies inversely with the square root of the channel area, one approach to overcome the process variation is to upsize the transistors. Alternately, one can increase the logic path depth to leverage the statistical averaging of the delay across gates to overcome process variations. These approaches, however, increase the transistor parasitics, which in turn increases the energy consumption. In this paper, we first propose the use of a feedback equalizer circuit for lowering the energy consumption of digital logic operating in the subthreshold region while achieving robustness equivalent to that provided. Here, the feedback equalizer circuit (placed just before the flip-flop) adjusts the switching threshold of its inverter based on the output of the flip-flop in the previous cycle to reduce the charging/discharging time of the flip-flop’s input capacitance. Moreover, the smaller input capacitance of the feedback equalizer reduces the switching time of the last gate in the combinational logic block. Overall, this reduces the total delay of the sequential logic, which makes it more robust to timing errors and allows aggressive clocking to reduce the dominant leakage energy. In addition to reducing energy consumption, we also demonstrate how the tuning capability of the equalizer can be used to enable extra charging/discharging paths for the flip-flop input capacitance after fabrication to mitigate timing errors resulting from worse than expected process variations in the subthreshold digital logic.

DISADVANTAGES:

  • Energy efficiency is less
  • Transition time is high

PROPOSED SYSTEM:

Fig. 1. Adaptive feedback equalizer circuit with multiple feedback paths (designed using a variable threshold inverter ) can be combined with a traditional master–slave flip-flop to design an adaptive E-flip-flop.

We first explain the use of the adaptive feedback equalizer circuit in the design of an adaptive equalized flip-flop (E-flip-flop) and then provide a detailed comparison of the E-flip-flop with the conventional flip-flop in terms of area, setup time, and performance. We propose the use of a variable threshold inverter (Fig. 1) as an adaptive feedback equalizer along with the classic master–slave positive edge-triggered flip-flop (Fig. 2) to design an adaptive E-flip-flop. This adaptive feedback equalizer circuit consists of two feedforward transistors (M1 and M2 in Fig. 1) and four control transistors (M3 and M4 for feedback path 1 that is always ON and M5 and M6 for feedback path 2 that can be conditionally switched ON postfabrication in Fig. 1) that provide extra pull-up/pull-down paths in addition to the pull-up/pull-down path in the static inverter for the Data FlipFlop input capacitance.

Fig. 2. Circuit diagram of classic master–slave positive edge-triggered flip-flop

e analyze the capability of the adaptive feedback equalizer circuit to reduce the transition time of the last gate in critical path of the subthreshold logic and make a comparison with the original nonequalized design, and the buffer-inserted nonequalized design (Fig. 3). The classic buffer insertion technique [Fig. 3(c)] will reduce the total delay along critical path of the subthreshold logic. Like the gates in the combinational logic, the buffer used in Fig. 3(c) is upsized to account for the process variation effects based on the design methodology proposed.

Fig. 3. Block diagrams of (a) original nonequalized design, (b) equalized design with one feedback path ON, and (c) buffer-inserted nonequalized design.

MODELING OF FEEDBACK EQUALIZER CIRCUITS

We present detailed AMs for the performance and the energy of adaptive equalizer circuits operating in the subthreshold regime. Using these models, we determine the sizes for feedforward transistors and control transistors in the feedback equalizer circuit that minimize total delay and leakage energy for the equalized subthreshold logic. Without loss of generality, we choose minimum-sized transistors for matching high-to-low and low-to-high propagation delay in the static inverter of the feedback equalizer circuit. As part of the effort, we first develop an analytical methodology to calculate the equivalent channel resistance of active MOSFET devices operating in the subthreshold regime. The proposed model is validated against HSPICE simulations (HSs) using UMC 130-nm process.

ADVANTAGES:

  • improve energy efficiency
  • mitigate process variation effects
  • transition time is reduced

SOFTWARE IMPLEMENTATION:

  • Tanner tools
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