Mixed-Signal Neural Network Implementation with Programmable Neuron

This thesis introduces implementation of mixed-signal building blocks of an artificial neural network; namely the neuron and the synaptic multiplier. This thesis, also, investigates the nonlinear dynamic behavior of a single artificial neuron and presents a Distributed Arithmetic (DA)-based Finite Impulse Response (FIR) filter. All the introduced structures are designed and custom laid out

Lower-order compensation chain threshold-reduction technique for multi-stage voltage multipliers

This paper presents a novel threshold-compensation technique for multi-stage voltage multipliers employed in low power applications such as passive and autonomous wireless sensing nodes (WSNs) powered by energy harvesters. The proposed threshold-reduction technique enables a topological design methodology which, through an optimum control of the trade-off among transistor conductivity and leakage losses, is aimed at maximizing the voltage conversion efficiency (VCE) for a given ac input signal and physical chip area occupation. The conducted simulations positively assert the validity of the proposed design methodology, emphasizing the exploitable design space yielded by the transistor connection scheme in the voltage multiplier chain. An experimental validation and comparison of threshold-compensation techniques was performed, adopting 2N5247 N-channel junction field effect transistors (JFETs) for the realization of the voltage multiplier prototypes. The attained measurements clearly support the effectiveness of the proposed threshold-reduction approach, which can significantly reduce the chip area occupation for a given target output performance and ac input signal

±0.25-V Class-AB CMOS Capacitance Multiplier and Precision Rectifiers

Reduction of minimum supply requirements is a crucial aspect to decrease the power consumption in VLSI systems. A high-performance capacitance multiplier able to operate with supplies as low as ±0.25 V is presented. It is based on adaptively biased class-AB current mirrors which provide high current efficiency. Measurement results of a factor 11 capacitance multiplier fabricated in 180-nm CMOS technology verify theoretical claims. Moreover, low-voltage precision rectifiers based on the same class-AB current mirrors are designed and fabricated in the same CMOS process. They generate output currents over 100 times larger than the quiescent current. Both proposed circuits have 300-nW static power dissipation when operating with ±0.25-V supplies

A Modified Architecture for Radix-4 Booth Multiplier with Adaptive Hold Logic

High speed digital multipliers are most efficiently used in many applications such as Fourier transform, discrete cosine transforms, and digital filtering. The throughput of the multipliers is based on speed of the multiplier, and then the entire performance of the circuit depends on it. The pMOS transistor in negative bias cause negative bias temperature instability (NBTI), which increases the threshold voltage of the transistor and reduces the multiplier speed. Similarly, the nMOS transistor in positive bias cause positive bias temperature instability (PBTI).These effects reduce the transistor speed and the system may fail due to timing violations. So here a new multiplier was designed with novel adaptive hold logic (AHL) using Radix-4 Modified Booth Multiplier. By using Radix-4 Modified Booth Encoding (MBE), we can reduce the number of partial products by half. Modified booth multiplier helps to provide higher throughput with low power consumption. This can adjust the AHL circuit to reduce the performance degradation. The expected result will be reduce threshold voltage, increase throughput and speed and also reduce power. This modified multiplier design is coded by Verilog and simulated using Xilinx ISE 12.1 and implemented in Spartan 3E FPGA kit

Techniques of Energy-Efficient VLSI Chip Design for High-Performance Computing

How to implement quality computing with the limited power budget is the key factor to move very large scale integration (VLSI) chip design forward. This work introduces various techniques of low power VLSI design used for state of art computing. From the viewpoint of power supply, conventional in-chip voltage regulators based on analog blocks bring the large overhead of both power and area to computational chips. Motivated by this, a digital based switchable pin method to dynamically regulate power at low circuit cost has been proposed to make computing to be executed with a stable voltage supply. For one of the widely used and time consuming arithmetic units, multiplier, its operation in logarithmic domain shows an advantageous performance compared to that in binary domain considering computation latency, power and area. However, the introduced conversion error reduces the reliability of the following computation (e.g. multiplication and division.). In this work, a fast calibration method suppressing the conversion error and its VLSI implementation are proposed. The proposed logarithmic converter can be supplied by dc power to achieve fast conversion and clocked power to reduce the power dissipated during conversion. Going out of traditional computation methods and widely used static logic, neuron-like cell is also studied in this work. Using multiple input floating gate (MIFG) metal-oxide semiconductor field-effect transistor (MOSFET) based logic, a 32-bit, 16-operation arithmetic logic unit (ALU) with zipped decoding and a feedback loop is designed. The proposed ALU can reduce the switching power and has a strong driven-in capability due to coupling capacitors compared to static logic based ALU. Besides, recent neural computations bring serious challenges to digital VLSI implementation due to overload matrix multiplications and non-linear functions. An analog VLSI design which is compatible to external digital environment is proposed for the network of long short-term memory (LSTM). The entire analog based network computes much faster and has higher energy efficiency than the digital one

Subthreshold circuits: Design, implementation and application

Digital circuits operating in the subthreshold region of the transistor are being used as an ideal option for ultra low power complementary metal-oxide-semiconductor (CMOS) design. The use of subthreshold circuit design in cryptographic systems is gaining importance as a counter measure to power analysis attacks. A power analysis attack is a non-invasive side channel attack in which the power consumption of the cryptographic system can be analyzed to retrieve the encrypted data. A number of techniques to increase the resistance to power attacks have been proposed at algorithmic and hardware levels, but these techniques suffer from large area and power overheads. The main aim of this research is to understand the viability of implementing subthreshold systems for cryptographic applications. Standard cell libraries in subthreshold are designed and a methodology to identify the minimum energy point, aspect ratio, frequency range and operating voltage for CMOS standard cells is defined. As scalar multiplication is the fundamental operation in elliptic curve cryptographic systems, a digit-level gaussian normal basis (GNB) multiplier is implemented using the aforementioned standard cells. A similar standard-cell library is designed for the multiplier to operate in the superthreshold regime. The subthreshold and superthreshold multipliers are then subjected to a differential power analysis attack. Power performance and signal-to-noise ratio (SNR) of both these systems are compared to evaluate the usefulness of the subthreshold design. The power consumption of the subthreshold multiplier is 4.554 uW, the speed of the multiplier is 65.1 KHz and the SNR is 40 dB. The superthreshold multiplier has a power consumption of 4.005 mW, the speed of the multiplier is 330 MHz and the SNR is 200 dB. Reduced power consumption, hence reduced SNR, increases the resistance of the subthreshold multiplier against power analysis attacks. (Refer to PDF for exact formulas)