Mohak Chadha

Room No. 01.04.060

Boltzmannstr. 3.

Garching, 85748

My name is Mohak Chadha. I am a second-year PhD student 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.

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.

Contact

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

May 11, 2022	Our Paper titled “SLAM: SLO-Aware Memory Optimization for Serverless Applications” got accepted at IEEE CLOUD’22.
Feb 27, 2022	Our Paper titled “FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters” got accepted at IEEE ICFEC’22.
Feb 27, 2022	Our Paper titled “Scalable Infrastructure for Workload Characterization of Cluster Traces” got accepted at CLOSER’22.
Feb 19, 2022	I received a Google Cloud Credits Research Award worth 5.400 euros for my proposal on “High Performance Serverless Federated Learning”. Thank you Google!.
Jan 31, 2022	Our Paper titled “MAAF: Self-Adaptive Memory Optimization for Serverless Functions” got accepted at IFIP ESOCC’22.

Selected publications

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

Bib HTML Slides Video
@inproceedings{fedless, author = {Grafberger, Andreas and Chadha, Mohak and Jindal, Anshul and Gu, Jianfeng and Gerndt, Michael}, booktitle = {2021 IEEE 9th International Conference on Big Data (IEEE BigData)}, title = {FedLess: Secure and Scalable Federated Learning Using Serverless Computing}, year = {2021}, volume = {}, number = {}, abbr = {BigData}, bibtex_show = {true}, html = {https://arxiv.org/pdf/2111.03396.pdf}, selected = {true}, slides = {https://drive.google.com/file/d/1lxozQ-sGKnh74VaL81_sWvbOIsFJvVNL/view?usp=sharing}, presentation = {https://youtu.be/qsAn5_P03k8} }

IEEE CLOUD

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

Bib HTML Slides

@inproceedings{chadhaarchitecture,
  author = {Chadha, Mohak and Jindal, Anshul and Gerndt, Michael},
  booktitle = {2021 IEEE 14th International Conference on Cloud Computing (IEEE CLOUD)},
  title = {Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions},
  year = {2021},
  volume = {},
  number = {},
  abbr = {IEEE CLOUD},
  bibtex_show = {true},
  doi = {10.1109/CLOUD53861.2021.00062},
  html = {https://arxiv.org/pdf/2107.10008.pdf},
  selected = {true},
  slides = {https://drive.google.com/file/d/19C82gShhtBER0Vb30iQW3v7_tVEthI9g/view?usp=sharing}
}

IEEE/ACM UCC
Courier: Delivering Serverless Functions Within Heterogeneous FaaS Deployments

Jindal, Anshul, Frielinghaus, Julian, Chadha, Mohak, and Gerndt, Michael

In 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC) 2021

Bib HTML
@inproceedings{jindalcourier, author = {Jindal, Anshul and Frielinghaus, Julian and Chadha, Mohak and Gerndt, Michael}, booktitle = {2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC)}, title = {Courier: Delivering Serverless Functions Within Heterogeneous FaaS Deployments}, year = {2021}, volume = {}, number = {}, abbr = {IEEE/ACM UCC}, url = {https://doi.org/10.1145/3468737.3494097}, doi = {10.1145/3468737.3494097}, bibtex_show = {true}, html = {https://doi.org/10.1145/3468737.3494097}, selected = {true} }

IC2E

DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices

Baller, Patrick Stephan, Jindal, Anshul, Chadha, Mohak, and Gerndt, Michael

In 2021 IEEE 9th International Conference on Cloud Engineering (IC2E) 2021

Bib HTML

@inproceedings{deepedgebench,
  author = {Baller, Patrick Stephan and Jindal, Anshul and Chadha, Mohak and Gerndt, Michael},
  booktitle = {2021 IEEE 9th International Conference on Cloud Engineering (IC2E)},
  title = {DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices},
  year = {2021},
  volume = {},
  number = {},
  abbr = {IC2E},
  bibtex_show = {true},
  doi = {10.1109/IC2E52221.2021.00016},
  html = {https://arxiv.org/pdf/2108.09457.pdf},
  selected = {true}
}

WoSC@Middleware

Towards Demystifying Intra-Function Parallelism in Serverless Computing

Kiener, Michael, Chadha, Mohak, and Gerndt, Michael

In Proceedings of the 2021 Seventh International Workshop on Serverless Computing 2021

Bib HTML Slides Video

@inproceedings{kienerwosc,
  author = {Kiener, Michael and Chadha, Mohak and Gerndt, Michael},
  booktitle = {Proceedings of the 2021 Seventh International Workshop on Serverless Computing},
  title = {Towards Demystifying Intra-Function Parallelism in Serverless Computing},
  year = {2021},
  volume = {},
  number = {},
  abbr = {WoSC@Middleware},
  selected = {true},
  doi = {10.1145/3493651.3493672},
  bibtex_show = {true},
  html = {https://dl.acm.org/doi/10.1145/3493651.3493672},
  presentation = {https://www.youtube.com/watch?v=CUOyobcfOfo&ab_channel=MKiener},
  slides = {https://drive.google.com/file/d/1Qet50ALeZbj955NAOHEYQqLZZ5hKd8OE/view?usp=sharing}
}