Philipp Friese

Philipp Friese is a Researcher at the Technical University of Munich, affiliated with the Chair of Computer Architecture & Parallel Systems (Department of Computer Architecture & Parallel Systems). His research focuses on the integration of High-Performance Computing (HPC) with Cloud Computing, performance monitoring, and optimization of CPU topologies and high-speed networks.

He contributes to projects such as

• SEANERGYS (EuroHPC)
• PlasmaPEPS
• OpenCUBE
• DaREXA-F
• ScalNEXT
• PDexa
• MUNIQC-ATOMS
• BB-KI_Chips
• QuaST
• Q-DESSI (MQV)
• SensE (BFS)

and previously led work in

• Time-X (EuroHPC)
• DEEP SEA (EuroHPC)
• REGALE (EuroHPC)
• TurbO - GasTurbinenOptimierung (2017-2020)
• ENVELOPE - Effizienz und Zuverlässigkeit: Selbstorganisation in HPC-Systemen (2017-2019)
• Predictive Autoscaling
• Smart Cloud Operations
• Parallel in Time Integration with Rational Approximations targeting Weather and Climate Simulations (2020)
• FDN (Function Delivery Network) - Extending Serverless Computing to Heterogeneous Platforms (2019-2022)
• BEHAVE - Behavioral Modeling of Application Functions in Serverless Computing (2021-2022)

His recent publications address HPC-cloud convergence, network monitoring, and CPU topology exploration, reflecting interdisciplinary expertise in Computer Science and Distributed Systems.

Scientific recognitions include

• Best Presentation Award at ARCS 2024

He actively develops software tools like

• autopin
• DBrew
• DDS-Perf
• QMPI

and works with hardware infrastructures CAPS Cloud and HimMUC. His research aligns with initiatives such as the MPI Forum and Eurolab4HPC.