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

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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.

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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.

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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.

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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.

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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.

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

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

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