A Physical Implementation with Custom Low Power Extensions of a Reconfigurable Hardware Fabric

The primary focus of this thesis is on the physical implementation of the SuperCISC Reconfigurable Hardware Fabric (RHF). The SuperCISC RHF provides a fast time to market solution that approximates the benefits of an ASIC (Application Specific Integrated Circuit) while retaining the design flow of an embedded software system. The fabric which consists of computational ALU stripes and configurable multiplexer based interconnect stripes has been implemented in the IBM 0.13um CMOS process using Cadence SoC Encounter. As the entire hardware fabric utilizes a combinational flow, glitching power consumption is a potential problem inherent to the fabric. A CMOS thyristor based programmable delay element has been designed in the IBM 0.13um CMOS process, to minimize the glitch power consumed in the hardware fabric. The delay element was characterized for use in the IBM standard cell library to synthesize standard cell ASIC designs requiring this capability such as the SuperCISC fabric. The thesis also introduces a power-gated memory solution, which can be used to increase the size of an EEPROM memory for use in SoC style applications. A macromodel of the EEPROM has been used to model the erase, program and read characteristics of the EEPROM. This memory is designed for use in the fabric for storing encryption keys, etc

Continuous-Time and Companding Digital Signal Processors Using Adaptivity and Asynchronous Techniques

The fully synchronous approach has been the norm for digital signal processors (DSPs) for many decades. Due to its simplicity, the classical DSP structure has been used in many applications. However, due to its rigid discrete-time operation, a classical DSP has limited efficiency or inadequate resolution for some emerging applications, such as processing of multimedia and biological signals. This thesis proposes fundamentally new approaches to designing DSPs, which are different from the classical scheme. The defining characteristic of all new DSPs examined in this thesis is the notion of "adaptivity" or "adaptability." Adaptive DSPs dynamically change their behavior to adjust to some property of their input stream, for example the rate of change of the input. This thesis presents both enhancements to existing adaptive DSPs, as well as new adaptive DSPs. The main class of DSPs that are examined throughout the thesis are continuous-time (CT) DSPs. CT DSPs are clock-less and event-driven; they naturally adapt their activity and power consumption to the rate of their inputs. The absence of a clock also provides a complete avoidance of aliasing in the frequency domain, hence improved signal fidelity. The core of this thesis deals with the complete and systematic design of a truly general-purpose CT DSP. A scalable design methodology for CT DSPs is presented. This leads to the main contribution of this thesis, namely a new CT DSP chip. This chip is the first general-purpose CT DSP chip, able to process many different classes of CT and synchronous signals. The chip has the property of handling various types of signals, i.e. various different digital modulations, both synchronous and asynchronous, without requiring any reconfiguration; such property is presented for the first time CT DSPs and is impossible for classical DSPs. As opposed to previous CT DSPs, which were limited to using only one type of digital format, and whose design was hard to scale for different bandwidths and bit-widths, this chip has a formal, robust and scalable design, due to the systematic usage of asynchronous design techniques. The second contribution of this thesis is a complete methodology to design adaptive delay lines. In particular, it is shown how to make the granularity, i.e. the number of stages, adaptive in a real-time delay line. Adaptive granularity brings about a significant improvement in the line's power consumption, up to 70% as reported by simulations on two design examples. This enhancement can have a direct large power impact on any CT DSP, since a delay line consumes the majority of a CT DSP's power. The robust methodology presented in this thesis allows safe dynamic reconfiguration of the line's granularity, on-the-fly and according to the input traffic. As a final contribution, the thesis also examines two additional DSPs: one operating the CT domain and one using the companding technique. The former operates only on level-crossing samples; the proposed methodology shows a potential for high-quality outputs by using a complex interpolation function. Finally, a companding DSP is presented for MPEG audio. Companding DSPs adapt their dynamic range to the amplitude of their input; the resulting can offer high-quality outputs even for small inputs. By applying companding to MPEG DSPs, it is shown how the DSP distortion can be made almost inaudible, without requiring complex arithmetic hardware

Area- and Energy- Efficient Modular Circuit Architecture for 1,024-Channel Parallel Neural Recording Microsystem.

This research focuses to develop system architectures and associated electronic circuits for a next generation neuroscience research tool, a massive-parallel neural recording system capable of recording 1,024 channels simultaneously. Three interdependent prototypes have been developed to address major challenges in realization of the massive-parallel neural recording microsystems: minimization of energy and area consumption while preserving high quality in recordings. First, a modular 128-channel Δ-ΔΣ AFE using the spectrum shaping has been designed and fabricated to propose an area-and energy efficient solution for neural recording AFEs. The AFE achieved 4.84 fJ/C−s·mm2 figure of merit that is the smallest the area-energy product among the state-of-the-art multichannel neural recording systems. It also features power and area consumption of 3.05 µW and 0.05 mm2 per channel, respectively while exhibiting 63.3 dB signal-to-noise ratio with 3.02 µVrms input referred noise. Second, an on-chip mixed signal neural signal compressor was built to reduce the energy consumption in handling and transmission of the recorded data since this occupies a large portion of the total energy consumption as the number of parallel recording increases. The compressor reduces the data rates of two distinct groups of neural signals that are essential for neuroscience research: LFP and AP without loss of informative signals. As a result, the power consumptions for the data handling and transmissions of the LFP and AP were reduced to about 1/5.35 and 1/10.54 of the uncompressed cases, respectively. In the total data handling and transmission, the measured power consumption per channel is 11.98 µW that is about 1/9 of 107.5 µW without the compression. Third, a compact on-chip dc-to-dc converter with constant 1 MHz switching frequency has been developed to provide reliable power supplies and enhance energy delivery efficiency to the massive-parallel neural recording systems. The dc-to-dc converter has only predictable tones at the output and it exhibits > 80% power conversion efficiency at ultra-light loads, < 100 µW that is relevant power most of the multi-channel neural recording systems consume. The dc-to-dc converter occupies 0.375 mm2 of area which is less than 1/20 of the area the first prototype consumes (8.64 mm2).PhDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/133244/1/sungyun_1.pd

Design and Implementation of Shunt Active Power Line Conditioner using Novel Control Strategies

Shunt Active Power Filter (APF) or Active Power Line Conditioner (APLC) is designed and implemented for power quality improvements in terms of current harmonics and reactive-power compensation. The widespread use of non-linear loads in industrial, commercial and domestic facilities cause harmonic problems. Harmonics induce malfunctions in sensitive equipment, overvoltage by resonance, increase heat in the conductors, harmonic voltage drop across the network impedance and affects other customer loads connected at the Point of Common Coupling (PCC). Active power line conditioner is implemented for compensating the harmonics and reactive-power imultaneously in the distribution system. The performance of the active power line conditioner depends on the design and characteristics of the controller adopted for APLC. The objective of this research is to find a suitable control strategy for reference current extraction as well as PWM-VSI current controller. PI / PID / FLC / PI-FLC, Fryze power theory, proposed instantaneous realpower theory, proposed sinusoidal extraction controller and modified-synchronous reference frame theory methods are utilized for extracting reference current.Furthermore, indirect PWM-current control (triangular-carrier / triangular-periodical current controller, space vector modulation controller, fixed-Hysteresis Current Controller (HCC), adaptive-HCC and adaptive-fuzzy-HCC) approach is applied to generate switching pulses of the PWM-inverter. Each reference current extraction method in conjunction with various PWM-current control techniques (or vice-versa) are simulated and investigated for the active power line conditioner. For experimental validation, the modified-synchronous reference frame with adaptive-fuzzy-HCC technique is adopted. This control algorithm is demonstrated through the TMS320F240 Digital Signal Processor for shunt APLC system

NASA SBIR abstracts of 1991 phase 1 projects

The objectives of 301 projects placed under contract by the Small Business Innovation Research (SBIR) program of the National Aeronautics and Space Administration (NASA) are described. These projects were selected competitively from among proposals submitted to NASA in response to the 1991 SBIR Program Solicitation. The basic document consists of edited, non-proprietary abstracts of the winning proposals submitted by small businesses. The abstracts are presented under the 15 technical topics within which Phase 1 proposals were solicited. Each project was assigned a sequential identifying number from 001 to 301, in order of its appearance in the body of the report. Appendixes to provide additional information about the SBIR program and permit cross-reference of the 1991 Phase 1 projects by company name, location by state, principal investigator, NASA Field Center responsible for management of each project, and NASA contract number are included

Scaling High-Performance Interconnect Architectures to Many-Core Systems.

The ever-increasing demand for performance scaling has made multi-core (2-8 cores) chips prevalent in today’s computing systems and foreshadows the shift toward many-core (10s- 100s of cores) chips in the near future. Although the potential performance gains from many-core systems remain appealing, the widespread adoption of these systems hinges on their ability to scale performance while simultaneously satisfying Quality-of-Service (QoS) and energy-efficiency constraints. This work makes the case that the interconnect for these many-core systems has a significant impact on the aforementioned scalability issues. The impact of interconnects on many-core systems is illustrated by observing that the degree of the interconnect has a signicant effect on system scalability and demonstrating that the architecture of high-radix, many-core systems are feasible, energy-efficient, and high-performance. The feasibility of high-radix crossbars for many-core systems is first shown through a new circuit-level building block called the Swizzle-Switch which can operate at frequencies up to 1.5GHz for 128-bit, radix-64 crossbars. This work then shows how a many-core system called the Swizzle-Switch Network (SSN) can use the Swizzle-Switch as the central building block for a flat crossbar interconnect. The SSN is shown to be advantageous to traditional Network-on-Chip (NoC) for systems up to 64 cores. The SSN performance by 21% relative to a Mesh while also providing a 25% energy savings over the Mesh. The Swizzle-Switch is also leveraged as a building block for high-radix NoC topologies that can support many-core architectures. The Swizzle-Switch-based Flattened Butterfly topology is demonstrated to provide a 15% speedup and 10% energy savings over the Mesh. Finally, the impact that 3D stacking technology has on many-core scalability is evaluated for bus and crossbar interconnects. A 3D-optimized Swizzle-Switch Network is able to leverage frequency gains to achieve a 15-28% speedup over a 2D-Swizzle-Switch Network when using memory- intensive benchmarks. Additionally, a bus-based 64-core architecture is shown to provide an average speedup of 49× over a baseline uniprocessor system when using 3D technology.PHDComputer Science & EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/93980/1/ksewell_1.pd

Feasibility study for a numerical aerodynamic simulation facility. Volume 1

A Numerical Aerodynamic Simulation Facility (NASF) was designed for the simulation of fluid flow around three-dimensional bodies, both in wind tunnel environments and in free space. The application of numerical simulation to this field of endeavor promised to yield economies in aerodynamic and aircraft body designs. A model for a NASF/FMP (Flow Model Processor) ensemble using a possible approach to meeting NASF goals is presented. The computer hardware and software are presented, along with the entire design and performance analysis and evaluation

Analyse und Erweiterung eines fehler-toleranten NoC für SRAM-basierte FPGAs in Weltraumapplikationen

Data Processing Units for scientific space mission need to process ever higher volumes of data and perform ever complex calculations. But the performance of available space-qualified general purpose processors is just in the lower three digit megahertz range, which is already insufficient for some applications. As an alternative, suitable processing steps can be implemented in hardware on a space-qualified SRAM-based FPGA. However, suitable devices are susceptible against space radiation. At the Institute for Communication and Network Engineering a fault-tolerant, network-based communication architecture was developed, which enables the construction of processing chains on the basis of different processing modules within suitable SRAM-based FPGAs and allows the exchange of single processing modules during runtime, too. The communication architecture and its protocol shall isolate non SEU mitigated or just partial SEU mitigated modules affected by radiation-induced faults to prohibit the propagation of errors within the remaining System-on-Chip. In the context of an ESA study, this communication architecture was extended with further components and implemented in a representative hardware platform. Based on the acquired experiences during the study, this work analyses the actual fault-tolerance characteristics as well as weak points of this initial implementation. At appropriate locations, the communication architecture was extended with mechanisms for fault-detection and fault-differentiation as well as with a hardware-based monitoring solution. Both, the former measures and the extension of the employed hardware-platform with selective fault-injection capabilities for the emulation of radiation-induced faults within critical areas of a non SEU mitigated processing module, are used to evaluate the effects of radiation-induced faults within the communication architecture. By means of the gathered results, further measures to increase fast detection and isolation of faulty nodes are developed, selectively implemented and verified. In particular, the ability of the communication architecture to isolate network nodes without SEU mitigation could be significantly improved.Instrumentenrechner für wissenschaftliche Weltraummissionen müssen ein immer höheres Datenvolumen verarbeiten und immer komplexere Berechnungen ausführen. Die Performanz von verfügbaren qualifizierten Universalprozessoren liegt aber lediglich im unteren dreistelligen Megahertz-Bereich, was für einige Anwendungen bereits nicht mehr ausreicht. Als Alternative bietet sich die Implementierung von entsprechend geeigneten Datenverarbeitungsschritten in Hardware auf einem qualifizierten SRAM-basierten FPGA an. Geeignete Bausteine sind jedoch empfindlich gegenüber der Strahlungsumgebung im Weltraum. Am Institut für Datentechnik und Kommunikationsnetze wurde eine fehlertolerante netzwerk-basierte Kommunikationsarchitektur entwickelt, die innerhalb eines geeigneten SRAM-basierten FPGAs Datenverarbeitungsmodule miteinander nach Bedarf zu Verarbeitungsketten verbindet, sowie den Austausch von einzelnen Modulen im Betrieb ermöglicht. Nicht oder nur partiell SEU mitigierte Module sollen bei strahlungsbedingten Fehlern im Modul durch das Protokoll und die Fehlererkennungsmechanismen der Kommunikationsarchitektur isoliert werden, um ein Ausbreiten des Fehlers im restlichen System-on-Chip zu verhindern. Im Kontext einer ESA Studie wurde diese Kommunikationsarchitektur um Komponenten erweitert und auf einer repräsentativen Hardwareplattform umgesetzt. Basierend auf den gesammelten Erfahrungen aus der Studie, wird in dieser Arbeit eine Analyse der tatsächlichen Fehlertoleranz-Eigenschaften sowie der Schwachstellen dieser ursprünglichen Implementierung durchgeführt. Die Kommunikationsarchitektur wurde an geeigneten Stellen um Fehlerdetektierungs- und Fehlerunterscheidungsmöglichkeiten erweitert, sowie um eine hardwarebasierte Überwachung ergänzt. Sowohl diese Maßnahmen, als auch die Erweiterung der Hardwareplattform um gezielte Fehlerinjektions-Möglichkeiten zum Emulieren von strahlungsinduzierten Fehlern in kritischen Komponenten eines nicht SEU mitigierten Prozessierungsmoduls werden genutzt, um die tatsächlichen auftretenden Effekte in der Kommunikationsarchitektur zu evaluieren. Anhand der Ergebnisse werden weitere Verbesserungsmaßnahmen speziell zur schnellen Detektierung und Isolation von fehlerhaften Knoten erarbeitet, selektiv implementiert und verifiziert. Insbesondere die Fähigkeit, fehlerhafte, nicht SEU mitigierte Netzwerkknoten innerhalb der Kommunikationsarchitektur zu isolieren, konnte dabei deutlich verbessert werden