Integrated photonic computing promises revolutionary strides in processing power, energy efficiency, and speed, propelling us into an era of unprecedented computational capabilities. By harnessing the innate properties of light, such as high-speed propagation, inherent parallel processing capabilities, and the ability to carry vast amounts of information, photonic computing transcends the limitations of traditional electronic architectures. Furthermore, silicon photonic neural networks hold promise to transform artificial intelligence by enabling faster training and inference with significantly reduced power consumption. This potential leap in efficiency could revolutionize data centers, high-performance computing, and edge computing, minimizing environmental impact while expanding the boundaries of computational possibilities. The latest research on our silicon photonic platform for next-generation optical compute accelerators will be presented and discussed.
We demonstrate an optimized silicon photonic link architecture using components from the AIM PDK that achieves an ultra-low sub-pJ/bit power consumption with an aggregate bandwidth of 480 Gb/s. At the transmitter, micro-disk modulators are cascaded along a bus waveguide to select and modulate wavelength-division multiplexed (WDM) channels. At the receiver, micro-ring resonator (MRR) filters are thermally tuned to match the corresponding disks to select from the multiplexed channels. This link architecture yields an ultra-small footprint compared to Mach-Zehnder designs, improving the system scalability and bandwidth density. Additionally, using micro-resonators to select and drop the desired wavelengths from a single bus waveguide allows for straightforward integration with a frequency comb source. The energy performance of the design is optimized through sweeping over three key parameters: (i) optical power per channel, (ii) channel count, and (iii) bitrate. These parameters are the dominant sources for the crosstalk and power penalty in the link design. We identify ideal points in the design space which minimize the energy per bit while staying below the desired bit error rate (BER) of 10-12 and maintaining a realistic aggregate bandwidth. Simulations in the Synopsys OptSim environment using the AIM PDK v2.5a models confirm the functionality of the system with a BER < 10-12, acceptable for both high performance computing (HPC) and data center (DC) applications. Furthermore, optimizing the link energy consumption in the AIM PDK provides a clear path towards low-cost and high-yield fabrication suitable for application in HPC and DC systems.
KEYWORDS: Data centers, Monte Carlo methods, Telecommunications, Information operations, Electronics, Digital signal processing, Refractive index, Channel projecting optics, Thallium, Optical engineering
The peak-to-average power ratio (PAPR) of a next generation data center optoelectronic communication system is analyzed. A new challenge of ultrabroadband signals transmission over coupled printed transmission lines (PTLs) is introduced for the case of separated design of the optical module and on-board electronics. PAPR enhancement models are developed for transmission of ultrabroadband signals over coupled PTLs, due to enhanced coupling impairments. High instantaneous peak power values may lead to compression and nonlinear distortions due to the limited dynamic range of the communication system components. The analysis, which is verified by Monte Carlo simulations, reveals that the instantaneous PAPR increases significantly.
The nonlinear effect of Mach-Zehnder modulator (MZM) in optical fiber under the presence high peak power of optical
orthogonal frequency division multiplexing (OFDM) is investigated. A full optical coherent communication system is
presented and analyzed numerically. A method to mitigate the nonlinear effect by means of digital pre-distortion is
proposed. Inclusive quantitative analysis of the effect of peak to average power (PAPR) reduction on the performance of
the proposed Optical-OFDM system is presented.
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