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 computer architecture 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

M.Sc. in Computer Engineering, 2023
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.

Ivan Fernandez, Aditya Manglik, Christina Giannoula, Ricardo Quislant, Nika Mansouri Ghiasi, Juan Gómez-Luna, Eladio Gutierrez, Oscar Plata, Onur Mutlu (2022). Resistive Crossbar-Aware Neural Network Design and Optimization. Arxiv.

PDF Cite DOI

Aditya Manglik, Minesh Patel, Haiyu Mao, Behzad Salami, Jisung Park, Lois Orosa, Onur Mutlu (2022). Accelerating Time Series Analysis via Processing using Non-Volatile Memories. Arxiv.

PDF Cite DOI

Nika Mansouri Ghiasi, Mohammad Sadrosadati, Geraldo F Oliveira, Konstantinos Kanellopoulos, Rachata Ausavarungnirun, Juan Gómez Luna, Aditya Manglik, João Ferreira, Jeremie S Kim, Christina Giannoula, Nandita Vijaykumar, Jisung Park, Onur Mutlu (2022). RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory. Arxiv.

PDF Cite DOI

Haiyu Mao, Mohammed Alser, Mohammad Sadrosadati, Can Firtina, Akanksha Baranwal, Damla Senol Cali, Aditya Manglik, Nour Almadhoun Alserr, Onur Mutlu (2022). GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping. MICRO-55.

PDF Cite DOI

Minesh Patel, Taha Shahroodi, Aditya Manglik, A Giray Yaglikci, Ataberk Olgun, Haocong Luo, Onur Mutlu (2022). A case for transparent reliability in DRAM systems. Arxiv.

PDF Cite DOI

Muhammad Hanif Abdullah, Aditya Manglik, Muhammad Shafique (2021). Resistive Crossbar-Aware Neural Network Design and Optimization. In IEEE Access.

PDF Cite DOI

Aditya Manglik, Kunal Gupta, Surekha Bhanot (2020). Adaptive Gait Generation for Hexapod robot using Genetic Algorithm. In ICPEICES-2016.

PDF Cite Code Video DOI