420 research outputs found

    Nanowire Volatile RAM as an Alternative to SRAM

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    Maintaining benefits of CMOS technology scaling is becoming challenging due to increased manufacturing complexities and unwanted passive power dissipations. This is particularly challenging in SRAM, where manufacturing precision and leakage power control are critical issues. To alleviate some of these challenges a novel non-volatile memory alternative to SRAM was proposed called nanowire volatile RAM (NWRAM). Due to NWRAMs regular grid based layout and innovative circuit style, manufacturing complexity is reduced and at the same time considerable benefits are attained in terms of performance and leakage power reduction. In this paper, we elaborate more on NWRAM circuit aspects and manufacturability, and quantify benefits at 16nm technology node through simulation against state-of-the-art 6T-SRAM and gridded 8T-SRAM designs. Our results show the 10T-NWRAM to be 2x faster and 35x better in terms of leakage when compared to high performance gridded 8T-SRAM design

    A 0.68V 0.68mW 2.4GHz PLL for ultra-low power RF systems

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    A 2.4GHz PLL consuming 0.68mW has been implemented in 65nm LPCMOS for use in ultra-low power Bluetooth Low Energy (BLE) applications. VCO, charge pump and dynamic flip-flop design optimization allow low voltage operation at 0.68V, bringing down dynamic power. The integer-N PLL covers all BLE channels and has a phase noise of −110dBc/Hz at 1MHz offset. To extend operation to extremely low duty cycles, extensive power gating is applied to bring the leakage power down to 170pW.Shell Oil CompanyTexas Instruments Incorporate

    Ultra Low Power Analog Circuits for Wireless Sensor Node System.

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    This thesis will discuss essential analog circuit blocks required in ultra-low power wireless sensor node systems. A wireless sensor network system requires very high energy and power efficiency which is difficult to achieve with traditional analog circuits. First, 5.58nW real time clock using a DLL (Delay Locked Loop)-assisted pulse-driven crystal oscillator is discussed. In this circuit, the operational amplifier used in the traditional circuit was replaced with pulsed drivers. The pulse was generated at precise timing by a DLL. The circuit parts operate in different supply levels, generated on chip by using a switched capacitor network. The circuit was tested at different supply voltage and temperature. Its frequency characteristic along with power consumption were measured and compared to the traditional circuit. Next, a Schmitt trigger based pulse-driven crystal oscillator is discussed. In the first chapter, a DLL was used to generate a pulse with precise timing. However, testing results and recent study showed that the crystal oscillator can sustain oscillation even with inaccurate pulse timing. In this chapter, pulse location is determined by the Schmitt trigger. Simulation results show that this structure can still sustain oscillation at different process corners and temperature. In the next chapter, a sub-nW 8 bit SAR ADC (Successive Approximation Analog-to-Digital Converter) using transistor-stack DAC (Digital-to-Analog Converter) is discussed. To facilitate design effort and reduce the layout dependent effect, a conventional capacitive DAC was replaced with transistor-stack DAC with a 255:1 multiplexer. The control logic was designed with both TSPC (True Single Phase Clock) and CMOS logic to minimize transistor count. The ADC was implemented in a 65nm CMOS process and tested at different sampling rates and input signal frequency. Its linearity and power consumption was measured. Also, a similar design was implemented and tested using 180nm CMOS process as part of a sensor node system. Lastly, a multiple output level voltage regulator using a switched capacitor network for low-cost system is discussed.PhDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/111626/1/dmyoon_1.pd

    Design and Comparison of Asynchronous FFT Implementations

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    Fast Fourier Transform (FFT) is a widely used digital signal processing technology in a large variety of applications. For battery-powered embedded systems incorporating FFT, its physical implementation is constrained by strict power consumption, especially during idle periods. Compared to the prevailing clocked synchronous counterpart, quasi-delay insensitive asynchronous circuits offer a series of advantages including flexible timing requirement and lower leakage power, making them ideal choices for these systems. In this thesis work, various FFT configurations were implemented in the low-power Multi-Threshold NULL Convention Logic (MTNCL) paradigm. Analysis illustrates the area and power consumption trends along the changing of the number of points, data widths, and the number of pipeline stages

    Design and Comparison of Asynchronous FFT Implementations

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    Fast Fourier Transform (FFT) is a widely used digital signal processing technology in a large variety of applications. For battery-powered embedded systems incorporating FFT, its physical implementation is constrained by strict power consumption, especially during idle periods. Compared to the prevailing clocked synchronous counterpart, quasi-delay insensitive asynchronous circuits offer a series of advantages including flexible timing requirement and lower leakage power, making them ideal choices for these systems. In this thesis work, various FFT configurations were implemented in the low-power Multi-Threshold NULL Convention Logic (MTNCL) paradigm. Analysis illustrates the area and power consumption trends along the changing of the number of points, data widths, and the number of pipeline stages

    From FPGA to ASIC: A RISC-V processor experience

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    This work document a correct design flow using these tools in the Lagarto RISC- V Processor and the RTL design considerations that must be taken into account, to move from a design for FPGA to design for ASIC

    Power-efficient high-speed interface circuit techniques

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    Inter- and intra-chip connections have become the new challenge to enable the scaling of computing systems, ranging from mobile devices to high-end servers. Demand for aggregate I/O bandwidth has been driven by applications including high-speed ethernet, backplane micro-servers, memory, graphics, chip-to-chip and network onchip. I/O circuitry is becoming the major power consumer in SoC processors and memories as the increasing bandwidth demands larger per-pin data rate or larger I/O pin count per component. The aggregate I/O bandwidth has approximately doubled every three to four years across a diverse range of standards in different applications. However, in order to keep pace with these standards enabled in part by process-technology scaling, we will require more than just device scaling in the near future. New energy-efficient circuit techniques must be proposed to enable the next generations of handheld and high-performance computers, given the thermal and system-power limits they start facing. ^ In this work, we are proposing circuit architectures that improve energy efficiency without decreasing speed performance for the most power hungry circuits in high speed interfaces. By the introduction of a new kind of logic operators in CMOS, called implication operators, we implemented a new family of high-speed frequency dividers/prescalers with reduced footprint and power consumption. New techniques and circuits for clock distribution, for pre-emphasis and for driver at the transmitter side of the I/O circuitry have been proposed and implemented. At the receiver side, new DFE architecture and CDR have been proposed and have been proven experimentally

    Ultra Low Power Digital Circuit Design for Wireless Sensor Network Applications

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    Ny forskning innenfor feltet trådløse sensornettverk åpner for nye og innovative produkter og løsninger. Biomedisinske anvendelser er blant områdene med størst potensial og det investeres i dag betydelige beløp for å bruke denne teknologien for å gjøre medisinsk diagnostikk mer effektiv samtidig som man åpner for fjerndiagnostikk basert på trådløse sensornoder integrert i et ”helsenett”. Målet er å forbedre tjenestekvalitet og redusere kostnader samtidig som brukerne skal oppleve forbedret livskvalitet som følge av økt trygghet og mulighet for å tilbringe mest mulig tid i eget hjem og unngå unødvendige sykehusbesøk og innleggelser. For å gjøre dette til en realitet er man avhengige av sensorelektronikk som bruker minst mulig energi slik at man oppnår tilstrekkelig batterilevetid selv med veldig små batterier. I sin avhandling ” Ultra Low power Digital Circuit Design for Wireless Sensor Network Applications” har PhD-kandidat Farshad Moradi fokusert på nye løsninger innenfor konstruksjon av energigjerrig digital kretselektronikk. Avhandlingen presenterer nye løsninger både innenfor aritmetiske og kombinatoriske kretser, samtidig som den studerer nye statiske minneelementer (SRAM) og alternative minnearkitekturer. Den ser også på utfordringene som oppstår når silisiumteknologien nedskaleres i takt med mikroprosessorutviklingen og foreslår løsninger som bidrar til å gjøre kretsløsninger mer robuste og skalerbare i forhold til denne utviklingen. De viktigste konklusjonene av arbeidet er at man ved å introdusere nye konstruksjonsteknikker både er i stand til å redusere energiforbruket samtidig som robusthet og teknologiskalerbarhet øker. Forskningen har vært utført i samarbeid med Purdue University og vært finansiert av Norges Forskningsråd gjennom FRINATprosjektet ”Micropower Sensor Interface in Nanometer CMOS Technology”

    Low power predictable memory and processing architectures

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    Great demand in power optimized devices shows promising economic potential and draws lots of attention in industry and research area. Due to the continuously shrinking CMOS process, not only dynamic power but also static power has emerged as a big concern in power reduction. Other than power optimization, average-case power estimation is quite significant for power budget allocation but also challenging in terms of time and effort. In this thesis, we will introduce a methodology to support modular quantitative analysis in order to estimate average power of circuits, on the basis of two concepts named Random Bag Preserving and Linear Compositionality. It can shorten simulation time and sustain high accuracy, resulting in increasing the feasibility of power estimation of big systems. For power saving, firstly, we take advantages of the low power characteristic of adiabatic logic and asynchronous logic to achieve ultra-low dynamic and static power. We will propose two memory cells, which could run in adiabatic and non-adiabatic mode. About 90% dynamic power can be saved in adiabatic mode when compared to other up-to-date designs. About 90% leakage power is saved. Secondly, a novel logic, named Asynchronous Charge Sharing Logic (ACSL), will be introduced. The realization of completion detection is simplified considerably. Not just the power reduction improvement, ACSL brings another promising feature in average power estimation called data-independency where this characteristic would make power estimation effortless and be meaningful for modular quantitative average case analysis. Finally, a new asynchronous Arithmetic Logic Unit (ALU) with a ripple carry adder implemented using the logically reversible/bidirectional characteristic exhibiting ultra-low power dissipation with sub-threshold region operating point will be presented. The proposed adder is able to operate multi-functionally
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