Vertical Heterostructure III-V MOSFETs for CMOS, RF and Memory Applications

This thesis focuses mainly on the co-integration of vertical nanowiren-type InAs and p-type GaSb MOSFETs on Si (Paper I & II), whereMOVPE grown vertical InAs-GaSb heterostructure nanowires areused for realizing monolithically integrated and co-processed all-III-V CMOS.Utilizing a bottom-up approach based on MOVPE grown nanowires enablesdesign flexibilities, such as in-situ doping and heterostructure formation,which serves to reduce the amount of mask steps during fabrication. By refiningthe fabrication techniques, using a self-aligned gate-last process, scaled10-20 nm diameters are achieved for balanced drive currents at Ion ∼ 100μA/μm, considering Ioff at 100 nA/μm (VDD = 0.5 V). This is enabledby greatly improved p-type MOSFET performance reaching a maximumtransconductance of 260 μA/μm at VDS = 0.5 V. Lowered power dissipationfor CMOS circuits requires good threshold voltage VT matching of the n- andp-type device, which is also demonstrated for basic inverter circuits. Thevarious effects contributing to VT-shifts are also studied in detail focusing onthe InAs channel devices (with highest transconductance of 2.6 mA/μm), byusing Electron Holography and a novel gate position variation method (PaperV).The advancements in all-III-V CMOS integration spawned individual studiesinto the strengths of the n- and p-type III-V devices, respectively. Traditionallymaterials such as InAs and InGaAs provide excellent electrontransport properties, therefore they are frequently used in devices for highfrequency RF applications. In contrast, the III-V p-type alternatives have beenlacking performance mostly due to the difficult oxidation properties of Sb-based materials. Therefore, a study of the GaSb properties, in a MOSFETchannel, was designed and enabled by new manufacturing techniques, whichallowed gate-length scaling from 40 to 140 nm for p-type Sb-based MOSFETs(Paper III). The new fabrication method allowed for integration of deviceswith symmetrical contacts as compared to previous work which relied on atunnel-contact at the source-side. By modelling based on measured data fieldeffecthole mobility of 70 cm2/Vs was calculated, well in line with previouslyreported studies on GaSb nanowires. The oxidation properties of the GaSbgate-stack was further characterized by XPS, where high intensities of xraysare achieved using a synchrotron source allowed for characterization ofnanowires (Paper VI). Here, in-situ H2-plasma treatment, in parallel with XPSmeasurements, enabled a study of the time-dependence during full removalof GaSb native oxides.The last focus of the thesis was building on the existing strengths of verticalheterostructure III-V n-type (InAs-InGaAs graded channel) devices. Typically,these devices demonstrate high-current densities (gm >3 mS/μm) and excellentmodulation properties (off-state current down to 1 nA/μm). However,minimizing the parasitic capacitances, due to various overlaps originatingfrom a low access-resistance design, has proven difficult. Therefore, newmethods for spacers in both the vertical and planar directions was developedand studied in detail. The new fabrication methods including sidewall spacersachieved gate-drain capacitance CGD levels close to 0.2 fF/μm, which isthe established limit by optimized high-speed devices. The vertical spacertechnology, using SiO2 on the nanowire sidewalls, is further improved inthis thesis which enables new co-integration schemes for memory arrays.Namely, the refined sidewall spacer method is used to realize selective recessetching of the channel and reduced capacitance for large array memoryselector devices (InAs channel) vertically integrated with Resistive RandomAccess Memory (RRAM) memristors. (Paper IV) The fabricated 1-transistor-1-memristor (1T1R) demonstrator cell shows excellent endurance and retentionfor the RRAM by maintaining constant ratio of the high and low resistive state(HRS/LRS) after 106 switching cycles

Hardware/Software Co-Design of Ultra-Low Power Biomedical Monitors

Ongoing changes in world demographics and the prevalence of unhealthy lifestyles are imposing a paradigm shift in healthcare delivery. Nowadays, chronic ailments such as cardiovascular diseases, hypertension and diabetes, represent the most common causes of death according to the World Health Organization. It is estimated that 63% of deaths worldwide are directly or indirectly related to these non-communicable diseases (NCDs), and by 2030 it is predicted that the health delivery cost will reach an amount comparable to 75% of the current GDP. In this context, technologies based on Wireless Sensor Nodes (WSNs) effectively alleviate this burden enabling the conception of wearable biomedical monitors composed of one or several devices connected through a Wireless Body Sensor Network (WBSN). Energy efficiency is of paramount importance for these devices, which must operate for prolonged periods of time with a single battery charge. In this thesis I propose a set of hardware/software co-design techniques to drastically increase the energy efficiency of bio-medical monitors. To this end, I jointly explore different alternatives to reduce the required computational effort at the software level while optimizing the power consumption of the processing hardware by employing ultra-low power multi-core architectures that exploit DSP application characteristics. First, at the sensor level, I study the utilization of a heartbeat classifier to perform selective advanced DSP on state-of-the-art ECG bio-medical monitors. To this end, I developed a framework to design and train real-time, lightweight heartbeat neuro-fuzzy classifiers, detail- ing the required optimizations to efficiently execute them on a resource-constrained platform. Then, at the network level I propose a more complex transmission-aware WBSN for activity monitoring that provides different tradeoffs between classification accuracy and transmission volume. In this work, I study the combination of a minimal set of WSNs with a smartphone, and propose two classification schemes that trade accuracy for transmission volume. The proposed method can achieve accuracies ranging from 88% to 97% and can save up to 86% of wireless transmissions, outperforming the state-of-the-art alternatives. Second, I propose a synchronization-based low-power multi-core architecture for bio-signal processing. I introduce a hardware/software synchronization mechanism that allows to achieve high energy efficiency while parallelizing the execution of multi-channel DSP applications. Then, I generalize the methodology to support bio-signal processing applications with an arbitrarily high degree of parallelism. Due to the benefits of SIMD execution and software pipelining, the architecture can reduce its power consumption by up 38% when compared to an equivalent low-power single-core alternative. Finally, I focused on the optimization of the multi-core memory subsystem, which is the major contributor to the overall system power consumption. First I considered a hybrid memory subsystem featuring a small reliable partition that can operate at ultra-low voltage enabling low-power buffering of data and obtaining up to 50% energy savings. Second, I explore a two-level memory hierarchy based on non-volatile memories (NVM) that allows for aggressive fine-grained power gating enabled by emerging low-power NVM technologies and monolithic 3D integration. Experimental results show that, by adopting this memory hierarchy, power consumption can be reduced by 5.42x in the DSP stage

CROSS-LAYER DESIGN, OPTIMIZATION AND PROTOTYPING OF NoCs FOR THE NEXT GENERATION OF HOMOGENEOUS MANY-CORE SYSTEMS

This thesis provides a whole set of design methods to enable and manage the runtime heterogeneity of features-rich industry-ready Tile-Based Networkon- Chips at different abstraction layers (Architecture Design, Network Assembling, Testing of NoC, Runtime Operation). The key idea is to maintain the functionalities of the original layers, and to improve the performance of architectures by allowing, joint optimization and layer coordinations. In general purpose systems, we address the microarchitectural challenges by codesigning and co-optimizing feature-rich architectures. In application-specific NoCs, we emphasize the event notification, so that the platform is continuously under control. At the network assembly level, this thesis proposes a Hold Time Robustness technique, to tackle the hold time issue in synchronous NoCs. At the network architectural level, the choice of a suitable synchronization paradigm requires a boost of synthesis flow as well as the coexistence with the DVFS. On one hand this implies the coexistence of mesochronous synchronizers in the network with dual-clock FIFOs at network boundaries. On the other hand, dual-clock FIFOs may be placed across inter-switch links hence removing the need for mesochronous synchronizers. This thesis will study the implications of the above approaches both on the design flow and on the performance and power quality metrics of the network. Once the manycore system is composed together, the issue of testing it arises. This thesis takes on this challenge and engineers various testing infrastructures. At the upper abstraction layer, the thesis addresses the issue of managing the fully operational system and proposes a congestion management technique named HACS. Moreover, some of the ideas of this thesis will undergo an FPGA prototyping. Finally, we provide some features for emerging technology by characterizing the power consumption of Optical NoC Interfaces

Abstracts on Radio Direction Finding (1899 - 1995)

The files on this record represent the various databases that originally composed the CD-ROM issue of "Abstracts on Radio Direction Finding" database, which is now part of the Dudley Knox Library's Abstracts and Selected Full Text Documents on Radio Direction Finding (1899 - 1995) Collection. (See Calhoun record https://calhoun.nps.edu/handle/10945/57364 for further information on this collection and the bibliography). Due to issues of technological obsolescence preventing current and future audiences from accessing the bibliography, DKL exported and converted into the three files on this record the various databases contained in the CD-ROM. The contents of these files are: 1) RDFA_CompleteBibliography_xls.zip [RDFA_CompleteBibliography.xls: Metadata for the complete bibliography, in Excel 97-2003 Workbook format; RDFA_Glossary.xls: Glossary of terms, in Excel 97-2003 Workbookformat; RDFA_Biographies.xls: Biographies of leading figures, in Excel 97-2003 Workbook format]; 2) RDFA_CompleteBibliography_csv.zip [RDFA_CompleteBibliography.TXT: Metadata for the complete bibliography, in CSV format; RDFA_Glossary.TXT: Glossary of terms, in CSV format; RDFA_Biographies.TXT: Biographies of leading figures, in CSV format]; 3) RDFA_CompleteBibliography.pdf: A human readable display of the bibliographic data, as a means of double-checking any possible deviations due to conversion

MS FT-2-2 7 Orthogonal polynomials and quadrature: Theory, computation, and applications

Quadrature rules find many applications in science and engineering. Their analysis is a classical area of applied mathematics and continues to attract considerable attention. This seminar brings together speakers with expertise in a large variety of quadrature rules. It is the aim of the seminar to provide an overview of recent developments in the analysis of quadrature rules. The computation of error estimates and novel applications also are described

Generalized averaged Gaussian quadrature and applications

A simple numerical method for constructing the optimal generalized averaged Gaussian quadrature formulas will be presented. These formulas exist in many cases in which real positive GaussKronrod formulas do not exist, and can be used as an adequate alternative in order to estimate the error of a Gaussian rule. We also investigate the conditions under which the optimal averaged Gaussian quadrature formulas and their truncated variants are internal