Aditya Manglik

Aditya Manglik

ETH Zürich

Biography

Hi! I am a graduate student at ETH Zürich, advised by Prof. Onur Mutlu. I am interested in systems, specializing in energy efficient and secure system design. Before joining ETH Zürich, I worked as a cloud engineer at Oracle Corporation for three years.

I earned a Bachelor’s in Electrical Engineering (Hons.) from BITS Pilani and wrote a bachelor’s thesis at TU Wien (supervised by Prof. Muhammad Shafique and Prof. Surekha Bhanot). My prior research focuses on Non-Volatile Memory microarchitectures for accelerating deep learning.

Interests
  • Energy Efficiency
  • System Security
Education
  • Masterarbeit, 2023

    Columbia University (New York), USA

  • M.Sc. in Computer Engineering, 2021

    ETH Zürich (Swiss Federal Institute of Technology in Zürich), Switzerland

  • Bachelorarbeit, 2018

    Technische Universität Wien (Vienna University of Technology), Austria

  • B.Eng. (Hons) in Electrical and Electronics Engineering, 2018

    BITS Pilani, Pilani Campus, India

Publications

Quickly discover relevant content by filtering publications.
(2022). Resistive Crossbar-Aware Neural Network Design and Optimization. Arxiv.

PDF Cite DOI

(2022). Accelerating Time Series Analysis via Processing using Non-Volatile Memories. Arxiv.

PDF Cite DOI

(2022). RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory. Arxiv.

PDF Cite DOI

(2022). GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping. MICRO-55.

PDF Cite DOI

(2022). A case for transparent reliability in DRAM systems. Arxiv.

PDF Cite DOI

(2021). Resistive Crossbar-Aware Neural Network Design and Optimization. In IEEE Access.

PDF Cite DOI

(2020). Adaptive Gait Generation for Hexapod robot using Genetic Algorithm. In ICPEICES-2016.

PDF Cite Code Video DOI

Recent Posts