Design of robust asynchronous reconfigurable controllers for parallel synchronization using embedded graphs

PhD Thesis: This is a revised version received 24/5/16. The definitive version is the print copy in the Research Reserve Collection of the University LibrarySynchronization is a key System-on-Chip (SoC) design issue in modern technologies. As the number of operating points under consideration increases, specifications which are capable of altering key parameters such as the time available for synchronization and Mean Time Between Failures (MTBF) in response to input from the user/system become desirable. This thesis explores how a combination of parallelism and scheduling, referred to as wagging, can be utilized to construct schedulers for synchronizer designs which are capable of pooling the gain-bandwidth products of their composite devices, in order to satisfy this requirement. In this work, we explore the ways in which the areas of graph theory and reconfigurable hardware design can be applied to generate both combinational and sequential scheduler designs, which satisfy the behavior requirement above. Further to this point, this work illustrates that such a scheduler is primarily comprised of an interrupt subsystem, and a reconfigurable token ring. This thesis explores how both of these components can be controlled in absence of a clock signal, as well as the design challenges inherent to each part. The final noteworthy issue in this study is with regard to the flow control of data in a parallel synchronizer that incorporates a First-In First-Out (FIFO) buffer to decouple the reading and writing operations from each other. Such a structure incurs penalties if the data rates on both sides are not well matched. This work presents a method by which combinations of serial and parallel reading operations are used to minimize this mismatch

Design of variation-tolerant synchronizers for multiple clock and voltage domains

PhD ThesisParametric variability increasingly affects the performance of electronic circuits as the fabrication technology has reached the level of 32nm and beyond. These parameters may include transistor Process parameters (such as threshold voltage), supply Voltage and Temperature (PVT), all of which could have a significant impact on the speed and power consumption of the circuit, particularly if the variations exceed the design margins. As systems are designed with more asynchronous protocols, there is a need for highly robust synchronizers and arbiters. These components are often used as interfaces between communication links of different timing domains as well as sampling devices for asynchronous inputs coming from external components. These applications have created a need for new robust designs of synchronizers and arbiters that can tolerate process, voltage and temperature variations. The aim of this study was to investigate how synchronizers and arbiters should be designed to tolerate parametric variations. All investigations focused mainly on circuit-level and transistor level designs and were modeled and simulated in the UMC90nm CMOS technology process. Analog simulations were used to measure timing parameters and power consumption along with a “Monte Carlo” statistical analysis to account for process variations. Two main components of synchronizers and arbiters were primarily investigated: flip-flop and mutual-exclusion element (MUTEX). Both components can violate the input timing conditions, setup and hold window times, which could cause metastability inside their bistable elements and possibly end in failures. The mean-time between failures is an important reliability feature of any synchronizer delay through the synchronizer. The MUTEX study focused on the classical circuit, in addition to a number of tolerance, based on increasing internal gain by adding current sources, reducing the capacitive loading, boosting the transconductance of the latch, compensating the existing Miller capacitance, and adding asymmetry to maneuver the metastable point. The results showed that some circuits had little or almost no improvements, while five techniques showed significant improvements by reducing τ and maintaining high tolerance. Three design approaches are proposed to provide variation-tolerant synchronizers. wagging synchronizer proposed to First, the is significantly increase reliability over that of the conventional two flip-flop synchronizer. The robustness of the wagging technique can be enhanced by using robust τ latches or adding one more cycle of synchronization. The second approach is the Metastability Auto-Detection and Correction (MADAC) latch which relies on swiftly detecting a metastable event and correcting it by enforcing the previously stored logic value. This technique significantly reduces the resolution time down from uncertain synchronization technique is proposed to transfer signals between Multiple- Voltage Multiple-Clock Domains (MVD/MCD) that do not require conventional level-shifters between the domains or multiple power supplies within each domain. This interface circuit uses a synchronous set and feedback reset protocol which provides level-shifting and synchronization of all signals between the domains, from a wide range of voltage-supplies and clock frequencies. Overall, synchronizer circuits can tolerate variations to a greater extent by employing the wagging technique or using a MADAC latch, while MUTEX tolerance can suffice with small circuit modifications. Communication between MVD/MCD can be achieved by an asynchronous handshake without a need for adding level-shifters.The Saudi Arabian Embassy in London, Umm Al-Qura University, Saudi Arabi

Towards naturalistic scanning environments for wearable magnetoencephalography

Magnetoencephalography (MEG) is a neuroimaging technique that probes human brain function, by measuring the magnetic fields generated at the scalp by current flow in assemblies of neurons. A direct measure of neural activity, MEG offers high spatiotemporal resolution, but limitations imposed by superconducting sensor technologies impede its clinical utility. Specifically, neuromagnetic fields are up to a billion times smaller than that of the Earth, meaning MEG must be performed inside a magnetically shielded room (MSR), which is typically expensive, heavy, and difficult to site. Furthermore, current MEG systems employ superconducting quantum interference devices (SQUIDs) to detect these tiny magnetic fields, however, these sensors require cryogenic cooling with liquid helium. Consequently, scanners are bulky, expensive, and the SQUIDs must be arranged in a fixed, one-size-fits-all array. Any movement relative to the fixed sensors impacts data quality, meaning participant movement in MEG is severely restricted. The development of technology to enable a wearable MEG system allowing free participant movement would generate a step change for the field. Optically-pumped magnetometers (OPMs) are an alternative magnetic field detector recently developed with sufficient sensitivity for MEG measurements. Operating at body temperature, in a small and lightweight sensor package, OPMs offer the potential for a wearable MEG scanner that allows participant movement, with sensors mounted on the scalp in a helmet or cap. However, OPMs operate around a zero-field resonance, resulting in a narrow dynamic range that may be easily exceeded by movement of the sensor within a background magnetic field. Enabling a full range of participant motion during an OPM-MEG scan therefore presents a significant challenge, requiring precise control of the background magnetic field. This thesis describes the development of techniques to better control the magnetic environment for OPM-MEG. This includes greater reduction of background magnetic fields over a fixed region to minimise motion artefacts and facilitate larger movements, and the application of novel, multi-coil active magnetic shielding systems to enable flexibility in participant positioning within the MSR. We outline a new approach to map background magnetic fields more accurately, reducing the remnant magnetic field to <300 pT and yielding a five-fold reduction in motion artefact, to allow detection of a visual steady-state evoked response during continuous head motion. Employing state-of-the-art, triaxial OPMs alongside this precision magnetic field control technique, we map motor function during a handwriting task involving naturalistic head movements and investigate the advantages of triaxial sensitivity for MEG data analysis. Using multi-coil active magnetic shielding, we map motor function consistently in the same participant when seated and standing, and demonstrate the first OPM-MEG hyperscanning experiments. Finally, we outline how the integration of a multi-coil system into the walls of a lightweight MSR, when coupled with field control over a larger volume, provides an open scanning environment. In sum, these developments represent a significant step towards realising the full potential of OPM-MEG as a wearable functional neuroimaging technology

Towards naturalistic scanning environments for wearable magnetoencephalography

Magnetoencephalography (MEG) is a neuroimaging technique that probes human brain function, by measuring the magnetic fields generated at the scalp by current flow in assemblies of neurons. A direct measure of neural activity, MEG offers high spatiotemporal resolution, but limitations imposed by superconducting sensor technologies impede its clinical utility. Specifically, neuromagnetic fields are up to a billion times smaller than that of the Earth, meaning MEG must be performed inside a magnetically shielded room (MSR), which is typically expensive, heavy, and difficult to site. Furthermore, current MEG systems employ superconducting quantum interference devices (SQUIDs) to detect these tiny magnetic fields, however, these sensors require cryogenic cooling with liquid helium. Consequently, scanners are bulky, expensive, and the SQUIDs must be arranged in a fixed, one-size-fits-all array. Any movement relative to the fixed sensors impacts data quality, meaning participant movement in MEG is severely restricted. The development of technology to enable a wearable MEG system allowing free participant movement would generate a step change for the field. Optically-pumped magnetometers (OPMs) are an alternative magnetic field detector recently developed with sufficient sensitivity for MEG measurements. Operating at body temperature, in a small and lightweight sensor package, OPMs offer the potential for a wearable MEG scanner that allows participant movement, with sensors mounted on the scalp in a helmet or cap. However, OPMs operate around a zero-field resonance, resulting in a narrow dynamic range that may be easily exceeded by movement of the sensor within a background magnetic field. Enabling a full range of participant motion during an OPM-MEG scan therefore presents a significant challenge, requiring precise control of the background magnetic field. This thesis describes the development of techniques to better control the magnetic environment for OPM-MEG. This includes greater reduction of background magnetic fields over a fixed region to minimise motion artefacts and facilitate larger movements, and the application of novel, multi-coil active magnetic shielding systems to enable flexibility in participant positioning within the MSR. We outline a new approach to map background magnetic fields more accurately, reducing the remnant magnetic field to <300 pT and yielding a five-fold reduction in motion artefact, to allow detection of a visual steady-state evoked response during continuous head motion. Employing state-of-the-art, triaxial OPMs alongside this precision magnetic field control technique, we map motor function during a handwriting task involving naturalistic head movements and investigate the advantages of triaxial sensitivity for MEG data analysis. Using multi-coil active magnetic shielding, we map motor function consistently in the same participant when seated and standing, and demonstrate the first OPM-MEG hyperscanning experiments. Finally, we outline how the integration of a multi-coil system into the walls of a lightweight MSR, when coupled with field control over a larger volume, provides an open scanning environment. In sum, these developments represent a significant step towards realising the full potential of OPM-MEG as a wearable functional neuroimaging technology