Silicon features have scaled by over 1500X for over six decades, and with the adoption of innovative materials delivered better power-performance, density and till recently, cost per function, almost every generation. This has spawned a vibrant system-on-chip (SoC) approach, where progressively more function has been integrated on a single die. The integration of multiple dies on packages and boards has, however, scaled only modestly by a factor of three to five times. However, as SoCs have become bigger and more complex, the Non-Recurring Engineering (NRE) Charge and time to market have both ballooned out of control leading to ever increasing market consolidation. We need to address this problem through novel methods of system Integration. With the well-documented slowing down of scaling and the advent of the Internet of Things, there is a focus on heterogeneous integration and system-level scaling. Packaging itself is undergoing a transformation that focuses on overall system performance through integration rather than on packaging individual components. We propose ways in which this transformation can evolve to provide a significant value at the system level while providing a significantly lower barrier to entry compared with a chip-based SoC approach that is currently used. More importantly it will allow us to re-architect systems in a very significant way. This transformation is already under way with 3-D stacking of dies, Wafer level fan-out processing, and will evolve to make heterogeneous integration the backbone of a new SoC methodology, extending to integrate entire Systems on Wafers (SoWs). We will describe the technology we use and the results to-date. This has implications in redefining the memory hierarchy in conventional systems and in neuromorphic systems. We extend these concepts to flexible and biocompatible electronics.
Rapid design of aircraft fuel quantity indication systems via multi-objective evolutionary algorithms