Doctor of Philosophy in Computing

dissertatio

Doctor of Philosophy

dissertationThe computing landscape is undergoing a major change, primarily enabled by ubiquitous wireless networks and the rapid increase in the use of mobile devices which access a web-based information infrastructure. It is expected that most intensive computing may either happen in servers housed in large datacenters (warehouse- scale computers), e.g., cloud computing and other web services, or in many-core high-performance computing (HPC) platforms in scientific labs. It is clear that the primary challenge to scaling such computing systems into the exascale realm is the efficient supply of large amounts of data to hundreds or thousands of compute cores, i.e., building an efficient memory system. Main memory systems are at an inflection point, due to the convergence of several major application and technology trends. Examples include the increasing importance of energy consumption, reduced access stream locality, increasing failure rates, limited pin counts, increasing heterogeneity and complexity, and the diminished importance of cost-per-bit. In light of these trends, the memory system requires a major overhaul. The key to architecting the next generation of memory systems is a combination of the prudent incorporation of novel technologies, and a fundamental rethinking of certain conventional design decisions. In this dissertation, we study every major element of the memory system - the memory chip, the processor-memory channel, the memory access mechanism, and memory reliability, and identify the key bottlenecks to efficiency. Based on this, we propose a novel main memory system with the following innovative features: (i) overfetch-aware re-organized chips, (ii) low-cost silicon photonic memory channels, (iii) largely autonomous memory modules with a packet-based interface to the proces- sor, and (iv) a RAID-based reliability mechanism. Such a system is energy-efficient, high-performance, low-complexity, reliable, and cost-effective, making it ideally suited to meet the requirements of future large-scale computing systems

Wireless body sensor networks for health-monitoring applications

This is an author-created, un-copyedited version of an article accepted for publication in Physiological Measurement. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/0967-3334/29/11/R01

Application of Metamaterials for Multifunctional Satellite Bus Enabled via Additive Manufacturing

Space systems require materials with superior stiffness to weight ratios to provide structural integrity while minimizing mass. Additive manufacturing processes enable the design of metamaterials that exceed the performance of naturally occurring materials in addition to allowing the integration of non-structural functions. This research explored the use of a high stiffness, high density, small melt pool track width AM material, Inconel 718, to enable the production of metamaterials with finer features possible than can possibly be created using a lower density aluminum alloy material. Various metamaterials were designed utilizing thin wall triply periodic minimal surface infilled sandwich structures. The performance characteristics of these metamaterials were evaluated through modal analysis; demonstrating a 16-18% greater stiffness-to-weight ratio than 7075-T6 aluminium. These results were successfully applied to a multifunctional, lightweight, 3U CubeSat chassis design, fabricated from Inconel 718; resulting in a structurally mass efficient satellite bus. Additionally, modal analysis was conducted on the CubeSat chassis loaded with representative payload masses to evaluate the dynamic modal response of the final structure. Vibration testing was conducted in accordance with NASA General Environmental Verification Standard qualification standards, demonstrating the survivability of the chassis under launch conditions. It was shown this metamaterial based design approach could provide a lighter, stiffer chassis than manufactured from traditional aluminum alloy components