Stepan Vanecek

Research interests

• Modern HPC architectures and topologies
  • Topological details in HPC and their effect on performance
  • Performance modelling on heterogeneous memory systems
  • Benchmarking fine-grained system characteristics
• Performance analysis of parallel applications
  • Memory and performance optimizations on CPUs and GPUs

Publications

• Stepan Vanecek and Martin Schulz, sys-sage: A Unified Representation of Dynamic Topologies & Attributes on HPC Systems, (ICS'24) paper slides
• Soumya Sen, Stepan Vanecek, and Martin Schulz, GPUscout: Locating Data Movement-related Bottlenecks on GPUs, (ProTools 2023) paper  slides
• Stepan Vanecek and Martin Schulz, sys-sage: A Fresh View on Dynamic Topologies & Attributes of HPC Systems, (SC'23 Research Poster) poster extended abstract

Projects

• DEEP-SEA ( www.deep-projects.eu )
  • MemAxes Memory access visualisation tool ( https://github.com/caps-tum/MemAxes )
  • sys-sage Library for capturing and manipulating hadrware topology of compute systems ( https://github.com/caps-tum/sys-sage )
  • Mitos Memory access sample collection tool ( https://github.com/caps-tum/mitos )
  • GPUscout Tool for memory-related bottleneck analysis on GPUs ( https://github.com/caps-tum/GPUscout )

 

Teaching & Theses

Available Student Theses:

This list may be out-of-date (updated 03/2025). Please refer to Open Theses page of CAPS or email me personally.

• MA/GR: Exploring Performance Variability and its Effects on Large-scale Supercomputing Systems (co-advised with LRZ)
• MA: Exploring the Effect of System Configuration on Performance Variability in HPC systems (co-advised with LRZ)
• BA: Transferring hardware-related information across processes and HPC nodes with sys-sage
• BA/MA/GR: Unifying NVidia and AMD GPU analyses and visualization of GPUscout
• MA/BA/GR: Collection of compute and memory hierarchy information on AMD GPUs

Student Theses (completed):

• [MA, 2025] Tobias Stuckenberger: Visual Presentation of GPUscout GPU Bottleneck Analysis
• [MA, 2025] Benedikt Deike: Extending GPUscout analysis to AMD GPUs
• [MA, 2024] Durganshu Mishra: Representing Quantum System Information and Topologies in sys-sage
• [BA, 2024] Finn Romaneessen: Transferring Hardware-related Information in sys-sage Across Processes and HPC Nodes
• [MA, 2024] Philip Sändig: Exploring Performance Variability in CPUs with sys-sage
• [BA, 2024] Jazmin Dojcsak: Integration of PAPI Metrics Collection Functionality Into the sys-sage Library
• [BA,2023] Mohammad Khadem (co-advised with Eishi Arima)
• [BA, 2023] James Sutanto: Ranking Nodes by Energy Efficiency Using sys-sage (co-advised with Eishi Arima)
• [BA, 2023] Matthias Süß: Exploration of Performance Variations of GPU Cores
• [BA, 2023] Felix Sandmair: Collection of HPC Network Topology Information in sys-sage
• [BA, 2023] Daniel Schenk: Extension of MemAxes sample visualization to process AMD IBS samples
• [BA, 2023] Maksym Azatian: Capturing Memory Topology Across Different GPU Architectures
• [MA, 2023] Maximilian Geitner: An Analysis and Implementation of AMD IBS Sample Collection for Performance Analysis Purposes
• [MA, 2023] Soumya Sen: Discovering data movement-related bottlenecks on NVidia GPUs
• [BA, 2023] Jim Eckerlein: An Environment for Continuous Integration and Software Testing for sys-sage
• [MA, 2023] Ke Wang: Reverse Engineering Hardware Prefetching Mechanisms for Use in sys-sage (co-advised with Eishi Arima)
• [BA, 2022] Mark Pirkowski: A visual presentation of an HPC system state as stored in sys-sage
• [BA, 2022] Dominik Grössler: Capturing the memory topology of GPUs
• [BA, 2022] Ruilin Qi: Analysis of data movements over the PCIe bus in heterogeneous systems

Lectures/Seminars:

• [SS25] Seminar: Performance Modeling for Parallel Applications and Emerging Architectures
• [SS23] Seminar: History of Computer Architecture (Geschichte der Rechnerarchitektur)
• [SS22] Seminar: History of Computer Architecture (Geschichte der Rechnerarchitektur)