Wide-Range Dynamic Power Management in Low-Voltage Low-Power Subthreshold SCL

Power-frequency scaling in subthreshold source coupled logic (STSCL) systems has been studied and analyzed. It is shown that the operating frequency of such systems can be adjusted over about three decades with linearly proportional power dissipation. The heart of such a system is a phase-locked loop (PLL)-based clock generator (CG) with a very wide tuning range controlling the dynamics of the STSCL system. The design of a wide tuning range PLL utilizing a novel self-adjustable loop filter that generates the reference clock as well as the bias current for the STSCL system is described. The PLL-based CG exhibits linear power-frequency characteristics in order to minimize its power consumption overhead (7 pJ with 350 nA standby current). Implemented in 0.13 μm CMOS, the CG occupies 0.06 mm2 with a supply voltage that can be reduced down to VDD = 0.9 V

Ultra-Low Power Circuit Design for Cubic-Millimeter Wireless Sensor Platform.

Modern daily life is surrounded by smaller and smaller computing devices. As Bell’s Law predicts, the research community is now looking at tiny computing platforms and mm3-scale sensor systems are drawing an increasing amount of attention since they can create a whole new computing environment. Designing mm3-scale sensor nodes raises various circuit and system level challenges and we have addressed and proposed novel solutions for many of these challenges to create the first complete 1.0mm3 sensor system including a commercial microprocessor. We demonstrate a 1.0mm3 form factor sensor whose modular die-stacked structure allows maximum volume utilization. Low power I2C communication enables inter-layer serial communication without losing compatibility to standard I2C communication protocol. A dual microprocessor enables concurrent computation for the sensor node control and measurement data processing. A multi-modal power management unit allowed energy harvesting from various harvesting sources. An optical communication scheme is provided for initial programming, synchronization and re-programming after recovery from battery discharge. Standby power reduction techniques are investigated and a super cut-off power gating scheme with an ultra-low power charge pump reduces the standby power of logic circuits by 2-19× and memory by 30%. Different approaches for designing low-power memory for mm3-scale sensor nodes are also presented in this work. A dual threshold voltage gain cell eDRAM design achieves the lowest eDRAM retention power and a 7T SRAM design based on hetero-junction tunneling transistors reduces the standby power of SRAM by 9-19× with only 15% area overhead. We have paid special attention to the timer for the mm3-scale sensor systems and propose a multi-stage gate-leakage-based timer to limit the standard deviation of the error in hourly measurement to 196ms and a temperature compensation scheme reduces temperature dependency to 31ppm/°C. These techniques for designing ultra-low power circuits for a mm3-scale sensor enable implementation of a 1.0mm3 sensor node, which can be used as a skeleton for future micro-sensor systems in variety of applications. These microsystems imply the continuation of the Bell’s Law, which also predicts the massive deployment of mm3-scale computing systems and emergence of even smaller and more powerful computing systems in the near future.Ph.D.Electrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/91438/1/sori_1.pd

Power and area efficient MOSFET-C filter for very low frequency applications

New circuit design techniques for implementing very high-valued resistors are presented, significantly improving power and area efficiency of analog front-end signal processing in ultra-low power biomedical systems. Ranging in value from few hundreds of \hbox{M}\Upomega to few hundreds of \hbox{G}\Upomega , the proposed floating resistors occupy a very small area, and produce accurately tunable characteristics. Using this approach, a low-pass MOSFET-C filter with tunable cutoff frequency (f C =20Hz-184kHz) has been implemented in a conventional 0.18μm CMOS technology. Occupying 0.045mm2/pole, the power consumption of this filter is 540 pW/Hz/pole with a measured IMFDR of 70 d

Leakage Current Reduction Using Subthreshold Source-Coupled Logic

The performance of subthreshold source-coupled logic (STSCL) circuits for ultra-low power applications is explored. It is shown that the power consumption of STSCL circuits can be reduced well below the subthreshold leakage current of static CMOS circuits. STSCL circuits exhibit a better power-delay performance compared to their static CMOS counterparts in situations where the leakage current constitutes a significant part of the power dissipation of static CMOS gates. The superior control on power consumption, in addition to lower sensitivity to the process and supply voltage variations make STSCL topology very suitable for implementing ultra-low-power low-frequency digital systems in modern nanometer scale technologies. An analytical approach for comparing the power-delay performance of these two topologies is proposed

An Ultra-Low-Power 75mV 64-Bit Current-Mode Majority-Function Adder

Ultra-low-power circuits are becoming more desirable due to growing portable device markets and they are also becoming more interesting and applicable today in biomedical, pharmacy and sensor networking applications because of the nano-metric scaling and CMOS reliability improvements. In this thesis, three main achievements are presented in ultra-low-power adders. First, a new majority function algorithm for carry and the sum generation is presented. Then with this algorithm and implied new architecture, we achieved a circuit with 75mV supply voltage operation. Last but not least, a 64 bit current-mode majority-function adder based on the new architecture and algorithm is successfully tested at 75mV supply voltage. The circuit consumed 4.5nW or 3.8pJ in one of the worst conditions

CMOS temperature sensor utilizing interface-trap charge pumping

The objective of this thesis is to introduce an alternative temperature sensor in CMOS technology with small area, low power consumption, and high resolution that can be easily interfaced. A novel temperature sensor utilizing the interfaceâÂÂtrap charge pumping phenomenon and the temperature sensitivity of generation current is proposed. This thesis presents the design and characterization of the proposed temperature sensor fabricated in 0.18õm CMOS technology. The prototype sensor is characterized for the temperature range of 27oCâÂÂ120oC. It has frequency output and exhibits linear transfer characteristics, high sensitivity, and high resolution. This temperature sensor is proposed for microprocessor thermal management applications

Designing energy-efficient computing systems using equalization and machine learning

As technology scaling slows down in the nanometer CMOS regime and mobile computing becomes more ubiquitous, designing energy-efficient hardware for mobile systems is becoming increasingly critical and challenging. Although various approaches like near-threshold computing (NTC), aggressive voltage scaling with shadow latches, etc. have been proposed to get the most out of limited battery life, there is still no “silver bullet” to increasing power-performance demands of the mobile systems. Moreover, given that a mobile system could operate in a variety of environmental conditions, like different temperatures, have varying performance requirements, etc., there is a growing need for designing tunable/reconfigurable systems in order to achieve energy-efficient operation. In this work we propose to address the energy- efficiency problem of mobile systems using two different approaches: circuit tunability and distributed adaptive algorithms. Inspired by the communication systems, we developed feedback equalization based digital logic that changes the threshold of its gates based on the input pattern. We showed that feedback equalization in static complementary CMOS logic enabled up to 20% reduction in energy dissipation while maintaining the performance metrics. We also achieved 30% reduction in energy dissipation for pass-transistor digital logic (PTL) with equalization while maintaining performance. In addition, we proposed a mechanism that leverages feedback equalization techniques to achieve near optimal operation of static complementary CMOS logic blocks over the entire voltage range from near threshold supply voltage to nominal supply voltage. Using energy-delay product (EDP) as a metric we analyzed the use of the feedback equalizer as part of various sequential computational blocks. Our analysis shows that for near-threshold voltage operation, when equalization was used, we can improve the operating frequency by up to 30%, while the energy increase was less than 15%, with an overall EDP reduction of ≈10%. We also observe an EDP reduction of close to 5% across entire above-threshold voltage range. On the distributed adaptive algorithm front, we explored energy-efficient hardware implementation of machine learning algorithms. We proposed an adaptive classifier that leverages the wide variability in data complexity to enable energy-efficient data classification operations for mobile systems. Our approach takes advantage of varying classification hardness across data to dynamically allocate resources and improve energy efficiency. On average, our adaptive classifier is ≈100× more energy efficient but has ≈1% higher error rate than a complex radial basis function classifier and is ≈10× less energy efficient but has ≈40% lower error rate than a simple linear classifier across a wide range of classification data sets. We also developed a field of groves (FoG) implementation of random forests (RF) that achieves an accuracy comparable to Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) under tight energy budgets. The FoG architecture takes advantage of the fact that in random forests a small portion of the weak classifiers (decision trees) might be sufficient to achieve high statistical performance. By dividing the random forest into smaller forests (Groves), and conditionally executing the rest of the forest, FoG is able to achieve much higher energy efficiency levels for comparable error rates. We also take advantage of the distributed nature of the FoG to achieve high level of parallelism. Our evaluation shows that at maximum achievable accuracies FoG consumes ≈1.48×, ≈24×, ≈2.5×, and ≈34.7× lower energy per classification compared to conventional RF, SVM-RBF , Multi-Layer Perceptron Network (MLP), and CNN, respectively. FoG is 6.5× less energy efficient than SVM-LR, but achieves 18% higher accuracy on average across all considered datasets

A Constant Delay Logic Style - An Alternative Way of Logic Design

High performance, energy efficient logic style has always been a popular research topic in the field of very large scale integrated (VLSI) circuits because of the continuous demands of ever increasing circuit operating frequency. The invention of the dynamic logic in the 80s is one of the answers to this request as it allows designers to implement high performance circuit block, i.e., arithmetic logic unit (ALU), at an operating frequency that traditional static and pass transistor CMOS logic styles are difficult to achieve. However, the performance enhancement comes with several costs, including reduced noise margin,charge-sharing noise, and higher power dissipation due to higher data activity. Furthermore, dynamic logic has gradually lost its performance advantage over static logic due to the increased self-loading ratio in deep-submicron technology (65nm and below) because of the additional NMOS CLK footer transistor. Because of dynamic logic's limitations and diminished speed reward, a slowly rising need has emerged in the past decade to explore new logic style that goes beyond dynamic logic. In this thesis a constant delay (CD) logic style is proposed. The constant delay characteristic of this logic style regardless of the logic expression makes it suitable in implementing complicated logic expression such as addition. Moreover, CD logic exhibits a unique characteristic where the output is pre-evaluated before the inputs from the preceding stage is ready. This feature enables performance advantage over static and dynamic logic styles in a single cycle, multi-stage circuit block. Several design considerations including appropriate timing window width adjustment to reduce power consumption and maintain sufficient noise margin to ensure robust operations are discussed and analyzed. Using 65nm general purpose CMOS technology, the proposed logic demonstrates an average speed up of 94% and 56% over static and dynamic logic respectively in five different logic expressions. Post layout simulation results of 8-bit ripple carry adders conclude that CD-based design is 39% and 23% faster than the static and dynamic-based adders respectively. For ultra-high speed applications, CD-based design exhibits improved energy, power-delay product, and energy-delay product efficiency compared to static and dynamic counterparts

myCACTI: A new cache design tool for pipelined nanometer caches

TThe presence of caches in microprocessors has always been one of the most important techniques in bridging the memory wall, or the speed gap between the microprocessor and main memory. This importance is continuously increasing especially as we enter the regime of nanometer process technologies (i.e. 90nm and below), as industry has favored investing a larger and larger fraction of a chip.s transistor budget to improving the on-chip cache. This is the case in practice, as it has proven to be an efficient way to utilize the increasing number of transistors available with each succeeding technology. Consequently, it becomes even more important to have cache design tools that give accurate representations of designs that exist in actual microprocessors. The prevalent cache design tools that are the most widely used in academe are CACTI [Wilton1996] and eCACTI [Mamidipaka2004], and these have proven to be very useful tools not just for cache designers, but also for computer architects. This dissertation will show that both CACTI and eCACTI still contain major limitations and even flaws in their design, making them unsuitable for use in very-deep submicron and nanometer caches, especially pipelined designs. These limitations and flaws will be discussed in detail. This dissertation then introduces a new tool, called myCACTI, that addresses all these limitations and, in addition, introduces major enhancements to the simulation framework. This dissertation then demonstrates the use of myCACTI in the cache design process. Detailed design space explorations are done on multiple cache configurations to produce pareto optimal curves of the caches to show optimal implementations. Detailed studies are also performed to characterize the delay and power dissipation of different cache configurations and implementations. Finally, future directions to the development of myCACTI are identified to show possible ways that the tool can be improved in such a way as to allow even more different kinds of studies to be performed