EECS 507 References

News Piazza Lecture References Papers Description Times Canvas (for grades only) GDrive Gradescope

  1. Review template
  2. Example project proposals.
    1. Example 1
    2. Example 2
    3. Example 3
  3. Example final research papers started in similar courses.
    1. B. Simpson, E. Lubana, Y. Liu, and R. Dick, “Intelligent Scene Caching to Improve Accuracy for Energy-Constrained Embedded Vision,” in Proc. of the Conf. on Computer Vision and Pattern Recognition Wkshps., June 2020, pp. 724–725. Notes: Change-based video data caching to reduce transfer in energy- and communication-constrained applications. Works better than H.264 in some cases.
    2. L. Yang, H. Lekatsas, R. P. Dick, and S. Chakradhar, “On-line memory compression for embedded systems,” ACM Trans. Embedded Computing Systems, vol. 9, no. 3, pp. 27:1–27:30, Feb. 2010. Notes: Operating system technique to double usable memory in embedded systems without changing applications, or hardware, and with little or no performance or power penalty. NEC uses this technology in their cellphones.
    3. S. Kim, R. P. Dick, and R. Joseph, “Power deregulation: eliminating off-chip voltage regulation circuitry from embedded systems,” in Proc. Int. Conf. Hardware/Software Codesign and System Synthesis, Oct. 2007, pp. 105–110. Notes: Technique to eliminate power regulation hardware from embedded chip multiprocessors. 31% acceptance rate for conference.
    4. A.-H. Liu and R. P. Dick, “Automatic run-time extraction of communication graphs from multithreaded applications,” in Proc. Int. Conf. Hardware/Software Codesign and System Synthesis, Oct. 2006, pp. 46–51. Notes: Simulator module dynamically determines communication patterns of arbitrary multi-threaded Linux applications for use in embedded system synthesis. 25% acceptance rate for conference.
    5. S. Jevtic, M. Kotowsky, R. P. Dick, P. A. Dinda, and C. Dowding, “Lucid Dreaming: reliable analog event detection for energy-constrained applications,” in Proc. Int. Conf. Information Processing in Sensor Networks, Apr. 2007, pp. 350–359. Notes: Ultra-low-power event detection sensor interface technology permits 250× reduction in power consumption for event-driven applications such as structural integrity monitoring of buildings and bridges. 25% acceptance rate for conference.
  4. Optional papers.
    1. Introduction of Michael R. Garey and David S. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness, W. H. Freeman & Company, NY, =1979.
    2. O. Coudert, “Exact Coloring of Real-Life Graphs is Easy,” in Proc. Design Automation Conf., Jun. 1997, pp. 121–126.
    3. Y. LeCun, “A theoretical framework for back-propagation,” in Proc. Connectionist Models Summer School, 1988, pp. 21–28.
    4. V. Sitzmann, J. N. P. Martel, A. W. Bergman, D. B. Lindell, and G. Wetzsteinm “Implicit Neural Representations with Periodic Activation Functions,” in Proc. Conf. on Neural Information Processing Systems, Dec. 2020.
  5. Exams.
    1. Example midterm 1
    2. Example midterm 1 solutions
    3. Example midterm 2
    4. Example midterm 2 solutions
    5. Midterm
    6. Midterm solutions
    7. Example final 1
    8. Example final 1 solutions
    9. Example final 2
    10. Example final 2 solutions
    11. Final exam
    12. Final exam solutions

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