M.Sc. Mohak Chadha

Technische Universität München, Informatik 10
Lehrstuhl für Rechnerarchitektur & Parallele Systeme (Prof. Schulz)
Boltzmannstr. 3.  (5604)/I
85748  Garching b. Munich

Email: mohak.chadha@tum.de
Room No. 01.04.060
Phone No. +49 (89) 289 - 18461

Google Scholar 

 

About Me

I am a second-year PhD student working in serverless computing, high performance, and parallel computing. If you are interested in working with me please send me an email.

Publications

 

Journals

  • [2021] Anshul Jindal, Michael Gerndt, Mohak Chadha, Vladimir Podolskiy, Pengfei Chen. 2021. "Function Delivery Network: Extending Serverless Computing for Heterogeneous Platforms". Journal of Software: Practice and Experience. Wiley. Link

Conference/Workshops

  • [2021] Mohak Chadha, Anshul Jindal, and Michael Gerndt. "Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions". In Proceedings of the 2021 IEEE International Conference on Cloud Computing (IEEE CLOUD). IEEE.
  • [2021, Accepted] Stephan Patrick Baller, Anshul Jindal, Mohak Chadha and Michael Gerndt. "DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices". In Proceedings of the 2021 IEEE International Conference on Cloud Engineering (IC2E). IEEE.
  • [2020] Mohak Chadha, Anshul Jindal, and Michael Gerndt. 2020. "Towards Federated Learning Using FaaS Fabric". In Proceedings of the 6th ACM International Workshop on Serverless Computing, WoSC@Middleware 2020. ACM. Link.
  • [2020] Mohak Chadha, Jophin John, and Michael Gerndt. 2020. "Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling". In Proceedings of the 2020 IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) . IEEE. Link
  • [2019] Mohak Chadha and Michael Gerndt. 2019. "Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications". In Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE. Link
  • [2017] Mohak Chadha, Thomas Ilsche, Mario Bielert and Wolfgang E. Nagel. 2017. "A statistical approach to power estimation for x86 processors". In Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE. Link
  • [2016] Mohak Chadha, Abhishek Srivastava and Santonu Sarkar. 2016. "Unified power and energy measurement API for HPC co-processors". In Proceedings of the 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC). IEEE. Link

Posters

  • [2021] Anshul Jindal, Mohak Chadha, Michael Gerndt, Julian Frielinghaus, Vladimir Podolskiy, Pengfei Chen. 2021. "Function Delivery Network: Extending Serverless Computing for Heterogeneous Computing". In Proceedings of the 41st International Conference on Distributed Computing Systems (ICDCS). IEEE.

Work Experience

  • [October 2018- April 2020] Working student at Central Research and Technology (CRT), Airbus Group, Ottobrunn near Munich, Germany
  • [January 2018- Septermber 2018] Student assistant at the Chair of Computer Architecture and Parallel Systems , TUM
  • [January 2017- June 2017] Software Engineering Intern, Nvidia, India
  • [July 2016 - December 2016] Research Intern at TU Dresden, Germany