Department of Computer Science (D-INFK)
I’m a PhD student at the Scalable Parallel Computing Laboratory at the Department of Computer Science at ETH Zürich, advised by Prof. Torsten Hoefler. My main research goal is to develop high-performance solutions for the new cloud paradigm of Function-as-a-Service (FaaS) computing. The serverless revolution brings new elastic and flexible resource allocation techniques, and combined with a high-performance programming model, it will open new opportunities to increase resource utilization and decrease monetary and environmental costs in data centers of all sizes.
I obtained my Master’s degree in Simulation Sciences from the RWTH Aachen (Germany) where I worked on my Master thesis in the HPAC Group, supervised by Prof. Paolo Bientinesi and Prof. Benjamin Berkels. I obtained my Bachelor’s degree in Computer Science from the Silesian University of Technology in Poland, where I had the opportunity to work at the Institute of Theoretical and Applied Informatics, Polish Academy of Sciences with Prof. Tadeusz Czachórski, Dr Artur Rataj, and Dr Mateusz Nowak.
- Function-as-a-Service (FaaS)
- Elastic and Efficient Computing
- High-Performance Computing
- Performance Modeling
- Parallel Algorithms
- Code-Driven Design and Optimizations
|Dec 19, 2022||Our paper rFaaS: RDMA-Enabled FaaS Platform for Serverless High-Performance Computing has been accepted at IEEE IPDPS 2023 conference!|
|Nov 18, 2022||Our poster Software Resource Disaggregation for HPC with Serverless Computing has won the gold medal at the ACM Student Research Competition at ACM/IEEE Supercomputing 2022!|
|Oct 19, 2022||I have received the ACM-IEEE CS George Michael Memorial HPC Fellowship ! The award recognizes our work on the convergence of HPC and serverless cloud.|
|Aug 20, 2022||I’m glad to share that we received cloud research credits from AWS and Google Cloud! The grant money will support our reseach into high-performance computing in serverless cloud.|
|Mar 28, 2022||Our new preprint has been released - FaaSKeeper: a Blueprint for Serverless Services!|