Tuesday Keynote 2018
Dr. Keren Bergman
Charles Batchelor Professor of Electrical Engineering, Columbia University
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EMPOWERING FLEXIBLE AND SCALABLE HIGH PERFORMANCE ARCHITECTURES WITH EMBEDDED PHOTONICS
The explosive growth in data analytics applications that rely on machine and deep learning techniques is seismically shifting the landscape of high performance architectures. Driven by these applications, system performance is increasingly bottlenecked by the energy and communications costs of interconnecting the numerous heterogeneous compute and memory resources. Recent advances in integrated silicon photonics offer the opportunity of embedding optical connectivity that directly delivers high off-chip communication bandwidth densities with low power consumption. This talk will review these advances and introduce the concept of embedded photonics for addressing data movement challenges in high-performance systems. Beyond alleviating the bandwidth and energy bottlenecks, embedded photonics can enable new disaggregated architectures that leverage the distance independence of optical transmission. I will also discuss how the envisioned modular system, interconnected by a unified photonic fabric, can be flexibly composed to create custom architectures tailored for specific applications.
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Keren Bergman is the Charles Batchelor Professor of Electrical Engineering at Columbia University where she also serves as the Scientific Director of the Columbia Nano Initiative. Prof. Bergman received the B.S. from Bucknell University in 1988, and the M.S. in 1991 and Ph.D. in 1994 from M.I.T., all in Electrical Engineering. At Columbia, Bergman leads the Lightwave Research Laboratory encompassing multiple cross-disciplinary programs at the intersection of computing and photonics. She also serves on the Leadership Council of the American Institute of Manufacturing (AIM) Photonics leading projects that support the institute’s silicon photonics manufacturing capabilities and Datacom applications. Bergman is a Fellow of the Optical Society of America (OSA) and IEEE.
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