SSCS Distinguished Lecture Series

SSCS Distinguished Lecture Series
Fri, 30 June, 201708:20 AM, EDT (12:20, UTC)

This collection of distinguished lectures is presented by the IEEE Solid-State Circuits Society (SSCS). Society members enjoy free access to these videos. To learn more about SSCS membership, please visit http://sscs.ieee.org/membership

Other resources from SSCS, such as slides and tutorials, are available at their resource center.

Auto-adaptive digital circuits: Application to low-power Multicores and ultra-low-power Wireless Sensor Nodes Video

Auto-adaptive digital circuits: Application to low-power Multicores and ultra-low-power Wireless Sensor Nodes Video00:49:37
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Auto-adaptive digital circuits: Application to low-power Multicores and ultra-low-power Wireless Sensor Nodes Video

Today’s sources of variations are affecting a lot circuits’ energy efficiency: this talk will bring innovative technological, circuit and architectural techniques for efficient automatic performance regulation. Given the numerous sources of variations encountered by today’s integrated systems, it becomes very challenging to implement highly energy efficient circuits. Whether the variations are in the process, in the application needs or in the environmental characteristics, the common solution is adaptation. This talk is exploring automatic adaptation techniques at architectural, circuit and technological levels applied to MPSoCs as well as autonomous Wireless Sensor Nodes.

LED-Based Visible Light Communication Systems Driver SoC Design and Practical Applications

LED-Based Visible Light Communication Systems Driver SoC Design and Practical Applications01:09:37
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LED-Based Visible Light Communication Systems Driver SoC Design and Practical Applications

This talk presents two advanced visible light communication (VLC) modulator system-on-chips (SoCs). The first is an IEEE 802.15.7 PHY-I standard compliant VLC transmitter. The second is an active matrix LED microdisplay driver SoC with embedded VLC function. Using ordinary LED lights for VLC has received a great deal of research interest over the past decade due to a number of novel applications including location-based wireless broadcasting through LED lightings, signs with LED backlights and digital LED displays. Most of the VLC SoCs development has focused on wireless optical receiver design including custom CMOS imager whereas VLC transmitters have been predominately based on discrete implementation until recently. More importantly, the power consumption of dedicated VLC transmitters is prohibitively high with bit efficiency in the 100 nJ/bit range. To overcome these issues, this work demonstrates the first fully integrated VLC transmitter SoC compliant with the IEEE 802.15.7 standard embedded with a built-in 8-W LED driver. Excluding the power consumed by the LED driver, the SoC achieves a record VLC transmission efficiency of 5nJ/bit. On the other hand, the miniaturization and integration of inorganic LED display modules have attracted significant research efforts due to their superior brightness and reliability compared to organic LED microdisplay. Combining these two technology trends, this paper also describes an active matrix LED (AMLED) driver SoC with built-in VLC modulation capability to demonstrate a WQVGA smart microdisplay featuring 1.25-Mb/s VLC for enabling LED digital signage as location-based information broadcaster and indoor positioning beacoo: Prof. C. Patrick Yue (S'93-M'98-SM'05-F'15) received the B.S. degree from the University of Texas at Austin in 1992 with highest honor and the M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 1994 and 1998, respectively. He has been a Professor in Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST) since 2010. Between 2014 and 2015, he served as the Associate Provost for Knowledge Transfer. He is also the Founding Director of the HKUST-Qualcomm Joint Innovation and Research Lab and the Center of Industry Engagement and Internship in the School of Engineering. His current research interests focus on system-on-a-chip design for high-speed fiber-optic communication, visible light communication, and wireless power transfer for bio-implants.

Adaptive sensing and computing towards always-on context-awareness Video

Adaptive sensing and computing towards always-on context-awareness00:53:20
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Adaptive sensing and computing towards always-on context-awareness

Future mobile electronic devices will be equipped with more and more sensors that require always-on operation, to bring continuous context-awareness to the mobile device. Enabling this at near-zero power budgets, is only feasible if the device can continuously tune its own performance and hardware configuration in function of the sensory context. This requires combining research on adaptive sensor interfaces, embedded machine learning, and reconfigurable computing. We propose two important self-adaptivity techniques which can be exploited both in the sensor interfaces, as well as in the subsequent machine learning processing layer: 1.) hierarchical activation, and 2.) precision scalability. Both techniques will be illustrated with practical silicon implementations to assess their benefits, and this for always-on acoustic sensing and always-on image recognition applications. The resulting hardware context-awareness will be crucial in achieving the necessary 10x energy improvement for further miniaturization of mobiles, wearables and the IoT.