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Primer on Silicon Neuromorphic Photonic Processors: Architecture and Compiler by Thomas Ferreira de Lima; Alexander N. Tait; Armin Mehrabian; Mitchell A. Nahmias; Chaoran Huang; Hsuan-Tung Peng; Bicky A. Marquez; Mario Miscuglio; Tarek El-Ghazawi; Volker J. Sorger; Bhavin J. Shastri; Paul R. Prucnal is a Engineering article available to read on EtoBox.
What is Primer on Silicon Neuromorphic Photonic Processors: Architecture and Compiler about?
Microelectronic computers have encountered challenges in meeting all of today's demands for information processing. Meeting these demands will require the development of unconventional computers employing alternative processing models and new device physics. Neural network models have come to dominate modern machine learning algorithms, and specialized electronic hardware has been developed to implement them more efficiently. A silicon photonic integration industry promises to bring manufacturing ecosystems normally reserved for microelectronics to photonics. Photonic devices have already found simple analog signal processing niches where electronics cannot provide sufficient bandwidth and reconfigurability. In order to solve more complex information processing problems, they will have to adopt a processing model that generalizes and scales. Neuromorphic photonics aims to map physical models of optoelectronic systems to abstract models of neural networks. It represents a new opportunity for machine information processing on sub-nanosecond timescales, with application to mathematical programming, intelligent radio frequency signal processing, and real-time control. The strategy of n
Who reads Primer on Silicon Neuromorphic Photonic Processors: Architecture and Compiler?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Thomas Ferreira de Lima; Alexander N. Tait; Armin Mehrabian; Mitchell A. Nahmias; Chaoran Huang; Hsuan-Tung Peng; Bicky A. Marquez; Mario Miscuglio; Tarek El-Ghazawi; Volker J. Sorger; Bhavin J. Shastri; Paul R. Prucnal
- Publisher
- Walter de Gruyter GmbH
- Published
- 2020
- Language
- EN
- Field
- Engineering (Physical Sciences)