Euro-Par 2026 Accepted PhD Symposium Papers

Euro-Par 2026 website: https://2026.euro-par.org/

Titles and author lists reflect the accepted PhD Symposium papers.

1. Lessons Learned on Program Recognition Robustness under Code Transformations
   Markus Puura and Sid Touati
2. Reliability of Programming Languages: Sustainability inside the Codebase
   Darius Neațu and Florin Pop
3. Changing the Future - Temporal Pointers as Unifying Dependency Abstraction
   Rüdiger Nather
4. The Invisible GPU: Transparent Stencil Acceleration from Cellular Automata to Fortran Atmospheric Models
   Matyáš Brabec
5. Epileptic Seizure Detection on Ultra-Low Power RISC-V SoC
   David Díaz-Reyes, Javier Hormigo, Angeles G. Navarro and Ana Moya
6. Task-Parallel, Mixed-Precision Hybridized Solvers for Earthquake-Cycle Simulation
   Joseph McLaughlin
7. Improving the Efficiency of Data Processing and Analysis in High-Energy Physics
   Florine Willemijn de Geus, Vincenzo Eduardo Padulano and Ana-Lucia Varbanescu
8. Learning Performance and Energy Proxy from Hardware Performance Counters for Low-Overhead Autotuning
   Reilta Christine Dantas Maia and Samuel Xavier-de-Souza
9. Beyond Prediction Accuracy: Understanding Runtime Estimation in HPC Scheduling
   Davide Leone, Andrea Borghesi and Zeynep Kiziltan
10. Pareto-based Workflow Scheduling for Makespan and Data Transfer Volume Co-optimisation
    Yani Ping and Rizos Sakellariou
11. Data Layout Transformation for Memory Performance Optimisation
    Jolly Chen, Anna-Lucia Varbanescu and Axel Naumann
12. From Functions to Complex Applications: Toward High-Performance Serverless Computing
    Valerio Besozzi, Patrizio Dazzi and Marco Danelutto
13. Toward Adaptable Serverless Workflows: A Runtime-Adjustable DAG Approach for Streaming Pipelines
    Matteo Della Bartola, Patrizio Dazzi and Marco Danelutto
14. Collaborative Agentic AI in the Internet-of-Agents
    Saul Urso, Emanuele Carlini, Patrizio Dazzi and Matteo Mordacchini
15. Toward Efficient Community Detection on Time-Varying Attributed Graphs
    Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini and Salvatore Trani
16. AI-driven Data Management in Distributed IoT–Edge–Cloud Systems
    Adrianna Bodziony and Renata G. Słota
17. Decentralized Federated Learning for Net Active Power Probabilistic Forecasting in Smart Microgrids
    Mohsen Salimi Khanghah, Nabil Abdennadher and Giovanna Di Marzo Serugendo
18. Towards a General Analytical Theory of LLM Inference Energy Efficiency
    Andrea Proia, Zeynep Kiziltan and Andrea Bartolini
19. Making Privacy-Preserving Computation Practical for Data Center Coordination and Language Model Inference
    Seyda Nur Guzelhan and Ajay Joshi