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While transistor performance and energy efficiency have dramatically improved in recent years, electrical interconnect improvements has failed to keep pace. Recent advances in nanophotonic fabrication have made on-chip optics an attractive alternative. However, system integration challenges remain. In particular, the parameters of on-chip nanophotonic(More)
The emergence of multi-electrode array enables the study of real-time neurophysiological activities across multiple regions of the brain. However, the real-time extracellular action potentials recorded on any electrode represent the simultaneous electrical activity of an unknown number of neurons which present a critical challenge to the accuracy of(More)
Energy consumption and the associated environmental impact are a pressing challenge faced by the transportation sector. Emerging electric-drive vehicles have shown promises for substantial reductions in petroleum use and vehicle emissions. Their success, however, has been hindered by the limitations of energy storage technologies. Existing in-vehicle(More)
Real-time multi-channel neuronal signal recording has spawned broad applications in neuro-prostheses and neurorehabilitation. Detecting and discriminating neuronal spikes from multiple spike trains in real-time require significant computational efforts and present major challenges for hardware design in terms of hardware area and power consumption. This(More)
Future CMPs will combine many simple cores with deep cache hierarchies. With more cores, cache resources per core are fewer, and must be shared carefully to avoid poor utilization due to conflicts and pollution. Explicit motion of data in these architectures, such as message passing, can provide hints about program behavior that can be used to hide latency(More)
The estimation of harmonic to noise ratio (HNR) in transmitted sound signals with a wavelet transform was proposed. When subjects phonate sustained vowels in breathy, falsetto, leakage and pressed mode in normal loudness, the HNR in the human voice and transmitted sound signals was estimated and compared. The results indicated that the HNR in transmitted(More)
On many-core chip designs, short, often-multicast, latency-critical messages, used extensively in high-level coherence and synchronization protocols, often become the bottleneck of parallel performance scaling. This paper presents Spectrum, a hybrid nanophotonic-electric on-chip network that optimizes both throughput and latency. Spectrum's novel planar(More)