RESEARCH INTERESTS

• High Performance Computing
• Resource aware programming
• Power management in HPC systems
• Parallel programming models
• Fault tolerance and checkpointing in HPC systems

PROJECT

Invasive Computing

TEACHING

• WS 2020 - Praktikum Programming of Supercomputers
• WS 2019 - Praktikum Programming of Supercomputers
• WS 2017 - Lecture Internet of Things and Services (Student Tutor)
• SS  2017 - Lecture Parallel Programming (Student Tutor)
• WS 2016 - Lecture Patterns in Software Engineering (Student Tutor)

WORK EXPERIENCE

• [March 2018 - August 2018] Student assistant at Chair of Computer Architecture and Parallel Systems TUM Department of Informatics
• [January 2018 - March 2018] Student assistant at Chair of Software and Systems Engineering TUM Department of Informatics
• [May 2016 - June 2016] Student assistant at Chair of Robotics, Artificial Intelligence and Real-time Systems
• [September 2013 - January 2015] Co-founder and developer in a Startup

PUBLICATIONS

• [2020] Mohak Chadha, Jophin John and Michael Gerndt. Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling. In IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) 2020, 2020. (accepted)
• [2020] Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor and Sridutt Bhalachandra. Toward an End-to-End Auto-tuning Framework in HPC PowerStack. In Energy Efficient HPC State of Practice 2020, 2020. (accepted)
• [2019] Jophin John, Santiago Narvaez R and Michael Gerndt. Invasive Computing for Power Corridor Management. In Proceedings of the ParCo 2019: International Conference on Parallel Computing, 2019
• [2018] Jophin John. The Elastic Phase Oriented Programming Model for Elastic HPC Applications. Master Thesis 2018. Department of Informatics, Technical University of Munich.