Lecture Slides

 Week  Lecture  Date  Slides  Reading
 1  Lecture 1  Sept. 6, 2017  Introduction  none
 2  Lecture 2, 3  Sept. 11, 13, 2017  Sources of Power and Signal Transition Estimation  none
 3  Lecture 4, 5  Sept. 18, 20, 2017  Logic and Transistor Level Power Optimization  none
 4  Lecture 6, 7  Sept. 25, 27, 2017  Low Power Sequential Circuits & Multi-threshold CMOS  S. Mutah, et al. MTCMOS paper
 5  Lecture 8, 9  Oct. 2, 4, 2017  Transisotr Sizing and Low Power Memory Design  none
 6  Lecture 10, 11  Oct. 11, 13, 2017  Low Power Memory Design  none
 7  Lecture 12  Oct. 20, 2017  Low Power Design at the Processor Level  none
 8  Lecture 13, 14  Oct. 23, 25, 2017  Low Power Multicore Design and Approximation Techniques  K. Nepal, et al., ABACUS paper

Discussion Papers

 Week  Date  Presenter  Scribes  Papers (accessible via VPN)
 9  Oct. 30, 2017  Iris  none  Hardware Acceleration of Feature Detection and Description Algorithms on Low-Power Embedded Platforms
   Nov. 1, 2017  Seob  Dora, Yuan  On Quantification of Accuracy Loss in Approximate Computing
 10  Nov. 6, 2017  Jasmine  Sofiane, Aaron   Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
   Nov. 8, 2017  Giselle  Nikhil, Seob   A Super-pipelined Energy Efficient Subthreshold 240 MS/s FFT Core
 11  Nov. 17, 2017  Sofiane  Yuan, Jasmine   Computation offloading and resource allocation for low-power IoT edge devices
 12  Nov. 20, 2017  Nikhil  Giselle, Aaron   Low-Power Split-Radix FFT Processors Using Radix-2 Butterfly Units
   Nov. 22, 2017  Yuan  Sofiane, Dora   Architectural Tradeoffs for Biodegradable Computing
 13  Nov. 27, 2017  Aaron  Nikhil, Seob   High Speed Manchester Carry Chain with Carry-skip Capability
   Nov. 29, 2017  Dora  Jasmine, Giselle   Statistical Error Analysis for Low Power Approximate Adders

 

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