EECS 507 Papers

Presentation and Summary Review Assignments

Assigned

• 26 January: S. A. Edwards, “Design and verification languages,” Columbia University, Tech. Rep., Nov. 2004. Ungraded required.
• 4 February: L. Yang, R. P. Dick, H. Lekatsas, and S. Chakradhar, “High-performance operating system controlled on-line memory compression,” ACM Trans. Embedded Computing Systems, vol. 9, no. 4, pp. 30:1-30:28, Mar. 2010.
• 9 February: S. Pan, T. Yu, M. Mirshekari, J. Fagert, A. Bonde, O. J. Mengshoel, H. Y. NOH, and P. Zhang, “FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing,” Proc. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 1, no. 3, Sep. 2017.
• 11 February: C. L. Liu and James W. Layland, “Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment,” in J. ACM, vol. 20, no. 1, Jan. 1973, pp. 46–61.
• 18 February: E. A. Lee, “The past, present and future of cyber-physical systems: A focus on models,” Sensors, Feb. 2015.
• 25 February: L. Zhang, B. Tiwana, Z. Qian, Z. Wang, R. P. Dick, Z. M. Mao, and L. Yang, “Accurate online power estimation and automatic battery behavior based power model generation for smartphones,” in Proc. Int. Conf. Hardware/Software Codesign and System Synthesis, Oct. 2010, pp. 105–114. Notes: On-line component-specific power estimation for smartphones, including a battery state based model construction technique. One of five most cited articles in the history of the Embedded System Week federation of conferences as of 2013.
• 2 March: J. Polastre, R. Szewczyk, A. Mainwaring, D. Culler, and J. Anderson, “Analysis of wireless sensor networks for habitat monitoring,” in Wireless Sensor Networks, 2004, Springer.
• 4 March: Shad Roundy, Paul K. Wright, and Jan Rabey, “A study of low level vibrations as a power source for wireless sensor nodes,” Computer Communications, vol. 26, Oct. 2002.
• 16 March: Robert P. Dick, “Reliability, Thermal, and Power Modeling and Optimization,” in Proc. Int. Conf. on Computer-Aided Design, 2010, Nov and D. S. Khudia, G. Wright, and S. Mahlke, “Efficient soft error protection for commodity embedded microprocessors using profile information,” ACM SIGPLAN, vol. 26, no. 5, pp. 99–108, Oct. 2012.
• 18 March: R. P. Dick, L. Shang, M. Wolf, and S.-W. Yang, “Embedded intelligence in the Internet-of-Things,” IEEE Design & Test of Computers, Dec. 2019. Students need not present this paper.
• 30 March: B. Widrow and M. A. Lehr, “30 years of adaptive neural networks: perceptron, madaline, and backpropagation,” in Proc. IEEE, vol. 78, no. 9, Sep. 1990.
• 1 April: S. Han, X. Liu, H. Mao, J. Pu, A. Pedram, M. A. Horowitz, and W. J. Dally, “EIE: Efficient Inference Engine on Compressed Deep Neural Network,” in Proc. Int. Symp. Computer Architecture, Jun. 2016.
• 6 April: P. M. Sheridan, F. Cai, C. Du, W. Ma, Z. Zhang, and W. D. Lu, “Sparse Coding with Memristor Networks,” Nature Nanotechnology, vol. 12, Aug. 2017.
• 8 April: C. Alippi, S. Disabato, M. Roveri, “Moving Convolutional Neural Networks to Embedded Systems: the AlexNet and VGG-16 Case,” Proc. Int. Conf. on Information Processing in Sensor Networks, Apr. 2018.
• 13 April: Y. Zhu, A. Samajdar, M. Mattina, P. Whatmough, “Euphrates: algorithm-SoC co-design for low-power mobile continuous vision,” arXiv, Apr. 2018.
• 15 April: E. Ronen, A. Shamir, A.-O Weingarten, C. O'Flynn, “IoT goes nuclear: creating a ZigBee chain reaction,” in Proc. Symp. on Security and Privacy, May 2017.

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