  In this paper, we present a reconfigurable hybrid Photonic-Plasmonic
Network-on-Chip (NoC) based on the Dynamic Data Driven Application System
(DDDAS) paradigm. In DDDAS computations and measurements form a dynamic closed
feedback loop in which they tune one another in response to changes in the
environment. Our proposed system enables dynamic augmentation of a base
electrical mesh topology with an optical express bus during the run-time. In
addition, the measurement process itself adjusts to the environment. In order
to achieve lower latencies, lower dynamic power, and higher throughput, we take
advantage of a Configurable Hybrid Photonic Plasmonic Interconnect (CHyPPI) for
our reconfigurable connections. We evaluate the performance and power of our
system against kernels from NAS Parallel Benchmark (NPB) in addition to some
synthetically generated traffic. In comparison to a 16x16 base electrical mesh,
D3NOC shows up to 89% latency and 67% dynamic power net improvements beyond
overhead-corrected performance. It should be noted that the design-space of NoC
reconfiguration is vast and the goal of this study is not design-space
exploration. Our goal is to show the potentials of adaptive dynamic
measurements when coupled with other reconfiguration techniques in the NoC
context.
