Session 16 - Cognitive Memories and Novel Accelerators
1.
S: 16-1 RRAM Fabric for Neuromorphic and Reconfigurable Compute-in-memory Systems (Invited), (Outstanding Invited Paper Nominee)
(Author: Mohammed A. Zidan, Wei D. Lu, University of Michigan, Ann Arbor )

 5 (best) 
Presentation Quality
Technical Quality
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2.
S: 16-2 Cascaded and Resonant SRAM Supply Boosting for Ultra-Low Voltage Cognitive IoT Applications
(Authors: R. V. Joshi, M. M. Ziegler, K. Swaminathan, N. Chandramoorthy, IBM T. J. Watson Research Center)

 5 (best) 
Presentation Quality
Technical Quality
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3.
S: 16-3 Chipmunk: A Systolically Scalable 0.9 mm2, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference
(Authors: Francesco Conti*, Lukas Cavigelli**, Gianna Paulin**, Igor Susmelj**, Luca Benini*, *ETH Zurich & University of Bologna, **ETH Zurich)

 5 (best) 
Presentation Quality
Technical Quality
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4.
S: 16-4 Simultaneously Ensuring Smartness, Security, and Energy Efficiency in Internet-of-Things Sensors (Invited) 
(Authors: A. O. Akmandor, H. Yin, N. K. Jha, Princeton University)

 5 (best) 
Presentation Quality
Technical Quality
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5.
S: 16-5 LEIA: A 2.05mm2 140mW Lattice Encryption Instruction Accelerator in 40nm CMOS
(Authors: S. Song, W. Tang, T. Chen, Z. Zhang, University of Michigan)

 5 (best) 
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6.
S: 16-6 BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip In 28nm CMOS
(Authors: B. Moons*, D. Bankman**, L. Yang**, B. Murmann**, M. Verhelst*, *ESAT-MICAS, KU Leuven, Leuven, Belgium, **Stanford University, Stanford, CA, USA)

 5 (best) 
Presentation Quality
Technical Quality
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