Aditya Manglik
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    • MATSA: An MRAM-Based Energy-Efficient Accelerator for Time Series Analysis
    • NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators
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    • Carbon Measurement & Energy Attribution for Processes and Hardware Devices in the Linux Kernel
    • Carbon Measurement & Energy Attribution for Processes and Hardware Devices in the Linux Kernel
    • Carbon Measurement & Energy Attribution for Processes and Hardware Devices in the Linux Kernel
    • Carbon Measurement & Energy Attribution for Processes and Hardware Devices in the Linux Kernel
    • Carbon Measurement & Energy Attribution for Processes and Hardware Devices in the Linux Kernel
    • Estimating Energy Consumption of Embedded Platforms to Reduce the Carbon Footprint of Processes
    • GSF Podcast on Green Kernels
    • Measuring Carbon Footprint of Personal Computing
    • Energy measurement in GNOME-Usage
    • Research seminar on the paper on Optimizing Google Workloads for Consumer Devices
    • Improving energy efficiency in modern systems
    • Improving energy efficiency in modern systems
    • Power panel in GNOME-Usage
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    • Nand2tetris
    • STM32F7 microcontroller interfacing with STM32F4
    • Power attribution and Estimation Engine in Linux
    • PCB schematics for prototype waschmaschine
    • Intelligent Industrial Disaster Management Robot
    • Adaptive Gait Generation for Hexapod

Nand2tetris

Oct 20, 2022 · 1 min read
Code

Interesting and useful course.

Coursera

Last updated on Oct 20, 2022
Aditya Manglik
Authors
Aditya Manglik
Graduate Student
← Course log Oct 20, 2022
STM32F7 microcontroller interfacing with STM32F4 Oct 20, 2022 →

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