Mohak Chadha

Chair of Computer Architecture and Parallel Systems (CAPS). Technical University of Munich.

Room No. 01.04.057

Boltzmannstr. 3.

Garching, 85748

My name is Mohak Chadha. I am a final-year PhD candidate at the Technical University of Munich (TUM) advised by Prof. Dr. Michael Gerndt. My research interests are in the domain of serverless, parallel, and high-performance computing.

During my PhD, I have spent time at the Processor Architecture Research group at Intel Labs. In addition, I am a participant of the Software Campus Program (Class of 2022) in which I am collaborating with the Huawei Munich Research Center on the topic of Serverless Federated Learning.

Prior to starting my PhD, I completed my masters in Computer Science from TUM in 2020. During my masters, I worked at the Central Research and Technology (CRT) department at Airbus in Munich on two EU funded projects, i.e., Aramis 2. and COEMS..

Before my masters, I recieved my Bachelor’s in Computer Science and Master’s in Mathematics from Birla Institute of Technology and Science-Pilani in India. During that time, I interned at Nvidia, Center for Information Services and High Performance Computing, TU Dresden, and Central Electronics Engineering Research Institute, Pilani.


If you are interested in working with me, please send me an email. For students at TUM, looking for thesis topics please see here.

Recent News

Feb 12, 2024 Our paper titled “Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments” got accepted at IEEE/ACM CCGrid’24
Jan 25, 2024 I will be speaking with Jannik Straube about Kinema at KubeCon+CloudNativeCon Europe 2024.
Dec 23, 2023 Our paper titled “gFaaS: Enabling Generic Functions in Serverless Computing” got accepted at IEEE SANER’24
Nov 24, 2023 Our paper titled “Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning” got accepted at the 39th ACM/SIGAPP SAC’24
Nov 7, 2023 I will be giving a lightning talk at the CANOPIE-HPC SC’23 workshop on the topic “Lightwieght Isolation for HPC Applications”.
Oct 20, 2023 Our paper titled “GreenCourier: Carbon-Aware Scheduling for Serverless Functions” got accepted at WoSC@Middleware’23.
Sep 8, 2023 Our paper titled “Sustainability in HPC: Vision and Opportunities” got accepted at Sustainable Supercomputing@SC’23.
Jun 29, 2023 I got selected as a speaker at the Open Source Summit (OSS) Europe 2023 and will be speaking about serverless federated learning and executing WebAssembly on HPC systems.

Selected publications

  1. WoSC@Middleware
    GreenCourier: Carbon-Aware Scheduling for Serverless Functions
    Chadha, Mohak, Subramanian, Thandayuthapani, Arima, Eishi, Gerndt, Michael, Schulz, Martin, and Abboud, Osama
    In Proceedings of the 2023 Ninth International Workshop on Serverless Computing (WoSC9) 2023
  2. SC-W
    Sustainability in HPC: Vision and Opportunities
    Chadha, Mohak, Arima, Eishi, Raoofy, Amir, Gerndt, Michael, and Schulz, Martin
    In 2023 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W) 2023
  3. PPoPP
    Exploring the Use of WebAssembly in HPC
    Chadha, Mohak, Krueger, Nils, John, Jophin, Jindal, Anshul, Gerndt, Michael, and Benedict, Shajulin
    In 2023 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP) 2023
  4. BigData
    FedLesScan: Mitigating Stragglers in Serverless Federated Learning
    Elzohairy, Mohamed, Chadha, Mohak, Jindal, Anshul, Grafberger, Andreas, Gu, Jianfeng, Gerndt, Michael, and Abboud, Osama
    In 2022 IEEE 10th International Conference on Big Data (IEEE BigData) 2022
  5. WoSC@Middleware
    Migrating from Microservices to Serverless: An IoT Platform Case Study
    Chadha, Mohak, Pacyna, Victor, Jindal, Anshul, Gu, Jianfeng, and Gerndt, Michael
    In Proceedings of the 2022 Eight International Workshop on Serverless Computing 2022
    SLAM: SLO-Aware Memory Optimization for Serverless Applications
    Safaryan, Gor, Jindal, Anshul, Chadha, Mohak, and Gerndt, Michael
    In 2022 IEEE 15th International Conference on Cloud Computing (IEEE CLOUD) 2022
  7. BigData
    FedLess: Secure and Scalable Federated Learning Using Serverless Computing
    Grafberger, Andreas, Chadha, Mohak, Jindal, Anshul, Gu, Jianfeng, and Gerndt, Michael
    In 2021 IEEE 9th International Conference on Big Data (IEEE BigData) 2021
    Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions
    Chadha, Mohak, Jindal, Anshul, and Gerndt, Michael
    In 2021 IEEE 14th International Conference on Cloud Computing (IEEE CLOUD) 2021