Publications

• Slight Stochastic Shifts Suffice: Cross-Trajectory Vectorized Estimation of Simulation Gradients.
  Philipp Andelfinger and Wentong Cai.
  In 39th ACM SIGSIM Principles of Advanced Discrete Simulation (PADS 2025), 2025. To appear. [ bib ]


• Intelligent Modeling and Simulation Life Cycle.
  Philipp Andelfinger, Alessandro Pellegrini, Christopher D Carothers, Margaret Loper, Wen Jun Tan, Verena Wolf, and Wentong Cai.
  10.36227/techrxiv.174123246.67204848/v1, 2025. Preprint. [ bib | http | pdf ]

• Sampling Policies for Near-Optimal Device Choice in Parallel Simulations on CPU/GPU Platforms.
  Philipp Andelfinger, Alessandro Pellegrini, and Romolo Marotta.
  In International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 2024. [ bib | pdf ]


• Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making.
  Philipp Andelfinger and Justin N. Kreikemeyer.
  In 24th International Conference on Computational Science (ICCS 2024), pages 227--241, 2024. [ bib | pdf ]


• Towards Learning Stochastic Population Models by Gradient Descent.
  Justin N. Kreikemeyer, Philipp Andelfinger, and Adelinde Uhrmacher.
  In 38th ACM SIGSIM Principles of Advanced Discrete Simulation (PADS 2024), pages 88--92, 2024. [ bib | pdf ]


• Follow the Leader: Alternating CPU/GPU Computations in PDES.
  Romolo Marotta, Alessandro Pellegrini, and Philipp Andelfinger.
  In 38th ACM SIGSIM Principles of Advanced Discrete Simulation (PADS 2024), pages 47--51, 2024. [ bib | pdf ]

• Smoothing Methods for Automatic Differentiation Across Conditional Branches.
  Justin N. Kreikemeyer and Philipp Andelfinger.
  IEEE Access, 11:143190--143211, 2023. [ bib | doi | http | pdf ]


• Validation without Data - Formalizing Stylized Facts of Time Series.
  Pia Wilsdorf, Marian Zuska, Philipp Andelfinger, Florian Peters, and Adelinde M. Uhrmacher.
  In Winter Simulation Conference (WSC 2023). IEEE Press, 2023. [ bib | http | pdf ]


• Zero Lookahead? Zero Problem. The Window Racer Algorithm.
  Philipp Andelfinger, Till Köster, and Adelinde Uhrmacher.
  In Proceedings of the 2023 SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS '23. ACM, 2023. Received Best Paper Award. [ bib | http | pdf ]


• Hybrid Speculative Synchronisation for Parallel Discrete Event Simulation.
  Andrea Piccione, Philipp Andelfinger, and Alessandro Pellegrini.
  In Proceedings of the 2023 SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS '23. ACM, 2023. [ bib | http | pdf ]


• Spatial Iterative Coordination for Parallel Simulation-based Optimization of Large-scale Traffic Signal Control.
  Wen Jun Tan, Philipp Andelfinger, Wentong Cai, David Eckhoff, and Alois Knoll.
  SIMULATION, 2023. [ bib | http | pdf ]


• Synchronous Speculative Simulation of Tightly Coupled Agents in Continuous Time on CPUs and GPUs.
  Philipp Andelfinger and Adelinde Uhrmacher.
  SIMULATION, 2023. [ bib | http | pdf ]

• Reinforcement Learning for Intelligent Building Energy Management System Control.
  Olivera Kotevska and Philipp Andelfinger.
  Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems, pages 371--386, 2022. [ bib | doi | http ]


• Towards Differentiable Agent-Based Simulation.
  Philipp Andelfinger.
  ACM Transactions on Modeling and Computer Simulation (TOMACS), 2022. [ bib | doi | http | pdf ]


• Advanced Tutorial: Parallel and Distributed Methods for Scalable Discrete Simulation.
  Philipp Andelfinger and Wentong Cai.
  In Proceedings of the Winter Simulation Conference (WSC). IEEE, 2022. [ bib | http | pdf ]


• Seamless Simulation-Based Verification and Validation of Event-Driven Software Systems.
  Tom Meyer, Philipp Andelfinger, Andreas Ruscheinski, and Adelinde Uhrmacher.
  In Proceedings of the Winter Simulation Conference (WSC). IEEE, 2022. [ bib | http | pdf ]


• GPU-Accelerated Simulation Ensembles of Stochastic Reaction Networks.
  Till Köster, Philipp Andelfinger, and Adelinde Uhrmacher.
  In Proceedings of the Winter Simulation Conference (WSC). IEEE, 2022. [ bib | http | pdf ]


• Comparing Speculative Synchronization Algorithms for Continuous-Time Agent-Based Simulations.
  Philipp Andelfinger, Andrea Piccione, Alessandro Pellegrini, and Adelinde Uhrmacher.
  In International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 2022. Received Best Paper Award. [ bib | pdf ]

• OptCL: A Middleware to Optimise Performance for High Performance Domain-Specific Languages on Heterogeneous Platforms.
  Jiajian Xiao, Philipp Andelfinger, Wentong Cai, David Eckhoff, and Alois Knoll.
  In 21st International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2021. [ bib | pdf ]


• Optimistic Parallel Simulation of Tightly Coupled Agents in Continuous Time.
  Philipp Andelfinger and Adelinde Uhrmacher.
  In IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), pages 1--9, 2021. [ bib | http | pdf ]


• Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization.
  Philipp Andelfinger.
  In Proceedings of the 2021 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, pages 27--38, 2021. Best Paper Award Runner-Up. [ bib | http | pdf ]


• Causality and Consistency of State Update Schemes in Synchronous Agent-based Simulations.
  Wen Jun Tan, Philipp Andelfinger, David Eckhoff, Wentong Cai, and Alois Knoll.
  In Proceedings of the 2021 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, pages 57--68, 2021. [ bib | http | pdf ]


• Transitioning Spiking Neural Network Simulators to Heterogeneous Hardware.
  Quang Anh Pham Nguyen, Philipp Andelfinger, Wen Jun Tan, Wentong Cai, and Alois Knoll.
  ACM Transactions on Modelling and Computer Simulation (TOMACS), 31(2), 2021. [ bib | http | pdf ]

• Multi-thread State Update Schemes for Microscopic Traffic Simulation.
  Wen Jun Tan, Philipp Andelfinger, Yadong Xu, Wentong Cai, Alois Knoll, and David Eckhoff.
  In Proceedings of the Winter Simulation Conference (WSC). IEEE, 2020. Received Best Applied Paper Award. [ bib | http | pdf ]


• Evaluation of Guidance Systems at Dynamic Public Transport Hubs using Crowd Simulation.
  Michael Wagner, Philipp Andelfinger, Henriette Cornet, Wentong Cai, Alois Knoll, and David Eckhoff.
  In Proceedings of the Winter Simulation Conference (WSC). IEEE, 2020. [ bib | http | pdf ]


• A Passenger Model for Simulating Boarding and Alighting in Spatially Confined Transportation Scenarios.
  Boyi Su, Philipp Andelfinger, Jaeyoung Kwak, David Eckhoff, Henriette Cornet, Goran Marinkovic, Wentong Cai, and Alois Knoll.
  Journal of Computational Science, page 101173, 2020. [ bib | http | pdf ]


• Pedal to the Bare Metal: Road Traffic Simulation on FPGAs Using High-Level Synthesis.
  Jiajian Xiao, Görkem Kilinç, Philipp Andelfinger, David Eckhoff, Wentong Cai, and Alois Knoll.
  In Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, pages 117--121, 2020. [ bib | http | pdf ]


• Fast-Forwarding of Vehicle Clusters in Microscopic Traffic Simulations.
  Philipp Andelfinger, David Eckhoff, Wentong Cai, and Alois Knoll.
  In Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, pages 63--66, 2020. [ bib | http | pdf ]


• OpenABLext: An Automatic Code Generation Framework for Agent-Based Simulations on CPU-GPU-FPGA Heterogeneous Platforms.
  Jiajian Xiao, Philipp Andelfinger, Wentong Cai, Paul Richmond, Alois Knoll, and David Eckhoff.
  Concurrency and Computation: Practice and Experience, page e5807, 2020. [ bib | http | pdf ]


• Fidelity and Performance of State Fast-Forwarding in Microscopic Traffic Simulations.
  Philipp Andelfinger, Yadong Xu, David Eckhoff, Wentong Cai, and Alois Knoll.
  ACM Transactions on Modeling and Computer Simulation (TOMACS), 30(2), 2020. [ bib | http | pdf ]

• Advancing Automatic Code Generation for Agent-Based Simulations on Heterogeneous Hardware.
  Jiajian Xiao, Philipp Andelfinger, Wentong Cai, Paul Richmond, Alois Knoll, and David Eckhoff.
  In The International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar). Springer, 2019. [ bib | pdf ]


• An Agent-Based Model for Evaluating the Boarding and Alighting Efficiency of Autonomous Public Transport Vehicles.
  Boyi Su, Philipp Andelfinger, David Eckhoff, Henriette Cornet, Goran Marinkovic, Cai Wentong, and Alois Knoll.
  In Proceedings of the International Conference on Computational Science (ICCS), pages 534--547. Springer, June 2019. [ bib | http | pdf ]


• From Effects to Causes: Reversible Simulation and Reverse Exploration of Microscopic Traffic Models.
  Philipp Andelfinger, Jordan Ivanchev, David Eckhoff, Wentong Cai, and Alois Knoll.
  In Proceedings of the ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS), pages 173--184. ACM, 2019. [ bib | http | pdf ]


• Transitioning Spiking Neural Network Simulators to Heterogeneous Hardware.
  Quang Anh Pham Nguyen, Philipp Andelfinger, Wentong Cai, and Alois Knoll.
  In Proceedings of the ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS), pages 115--126. ACM, 2019. Nominated for Best Paper Award. [ bib | http | pdf ]


• A Survey on Agent-based Simulation Using Hardware Accelerators.
  Jiajian Xiao, Philipp Andelfinger, David Eckhoff, Wentong Cai, and Alois Knoll.
  ACM Computing Surveys (CSUR), 51(6):131, 2019. [ bib | http | pdf ]

• Exploring Execution Schemes for Agent-Based Traffic Simulation on Heterogeneous Hardware.
  Jiajian Xiao, Philipp Andelfinger, David Eckhoff, Wentong Cai, and Alois Knoll.
  In International Symposium on Distributed Simulation and Real Time Applications (DS-RT), pages 243--252, October 2018. Received Best Paper Award. [ bib | http | pdf ]


• Incremental Calibration of Seat Selection Preferences in Agent-Based Simulations of Public Transport Scenarios.
  Philipp Andelfinger, Daniel Zehe, Yihao Chen, Boyi Su, David Eckhoff, Wentong Cai, and Alois Knoll.
  In Proceedings of the Winter Simulation Conference (WSC), pages 833--844. IEEE, December 2018. [ bib | http | pdf ]


• Model Preemption Based on Dynamic Analysis of Simulation Data To Accelerate Traffic Light Timing Optimisation.
  Philipp Andelfinger, Sajeev Udayakumar, David Eckhoff, Wentong Cai, and Alois Knoll.
  In Proceedings of the Winter Simulation Conference (WSC), pages 652--663. IEEE, December 2018. [ bib | http | pdf ]


• Evaluating and Optimizing Component-Based Robot Architectures using Network Simulation.
  Daniel Krauß, Philipp Andelfinger, Fabian Paus, Nikolaus Vahrenkamp, and Tamim Asfour.
  In Proceedings of the Winter Simulation Conference (WSC), pages 1061--1072. IEEE, December 2018. [ bib | http | pdf ]


• Fast-Forwarding Agent States to Accelerate Microscopic Traffic Simulations.
  Philipp Andelfinger, Yadong Xu, Wentong Cai, David Eckhoff, and Alois Knoll.
  In Proceedings of the ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS, pages 113--124. ACM, 2018. Received Best Paper Award. [ bib | http | pdf ]


• Evaluation of Conflict Resolution Methods for Agent-Based Simulations on the GPU.
  Mingyu Yang, Philipp Andelfinger, Wentong Cai, and Alois Knoll.
  In Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS, pages 129--132. ACM, 2018. [ bib | http | pdf ]


• Enabling Cross-Event Optimization in Discrete-Event Simulation through Compile-Time Event Batching.
  Marc Leinweber, Hannes Hartenstein, and Philipp Andelfinger.
  arXiv preprint arXiv:1805.04303, 2018. [ bib | http | pdf ]

• Performance Evaluation of Priority Queues for Fine-Grained Parallel Tasks on GPUs.
  Nicolai Baudis, Florian Jacob, and Philipp Andelfinger.
  In 2017 IEEE 25th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), pages 1--11, 2017. [ bib | doi | pdf ]


• Time Warp on the GPU: Design and Assessment.
  Xinhu Liu and Philipp Andelfinger.
  In Proceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS, pages 109--120. ACM, 2017. [ bib | http | pdf ]

• Identifying and Harnessing Concurrency for Parallel and Distributed Network Simulation.
  Philipp Andelfinger.
  PhD thesis, Karlsruhe Institute of Technology, Germany, 2016. [ bib | doi | pdf ]


• Timing Analysis for Inferring the Topology of the Bitcoin Peer-to-Peer Network.
  Till Neudecker, Philipp Andelfinger, and Hannes Hartenstein.
  In 2016 International IEEE Conference on Advanced and Trusted Computing (ATC), pages 358--367, July 2016. Received Best Paper Award. [ bib | doi | pdf ]


• Consideration of Values in the Design of Access Control Systems.
  Till Neudecker, Arsen Hayrapetyan, Alexander Degitz, and Philipp Andelfinger.
  In Informatik. Gesellschaft für Informatik eV, 2016. [ bib | pdf ]

• Model-Based Concurrency Analysis of Network Simulations.
  Philipp Andelfinger and Hannes Hartenstein.
  In Proceedings of the 3rd ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM PADS, pages 223--234. ACM, 2015. [ bib | http | pdf ]


• A Simulation Model for Analysis of Attacks on the Bitcoin Peer-to-Peer Network.
  Till Neudecker, Philipp Andelfinger, and Hannes Hartenstein.
  In 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), Workshop on Security for Emerging Distributed Network Technologies (DISSECT), pages 1327--1332, May 2015. Received Best Paper Award. [ bib | doi | pdf ]

• Exploiting the Parallelism of Large-Scale Application-Layer Networks by Adaptive GPU-based Simulation.
  Philipp Andelfinger and Hannes Hartenstein.
  In Proceedings of the Winter Simulation Conference 2014, pages 3471--3482, Dec 2014. [ bib | doi | pdf ]


• Parallelism Potentials in Distributed Simulations of Kademlia-based Peer-to-Peer Networks.
  Philipp Andelfinger, Konrad Jünemann, and Hannes Hartenstein.
  In Proceedings of the 7th International ICST Conference on Simulation Tools and Techniques, SIMUTools, pages 41--50. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2014. [ bib | http | pdf ]


• From Implicit to Explicit Knowledge: A Tool for Preserving and Sharing Mental Links in Science.
  Philipp Andelfinger, Matthias Keller, Holger Kühner, and Hannes Hartenstein.
  In Proceedings of the Companion Publication of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing, CSCW Companion, pages 129--132. ACM, 2014. [ bib | http | pdf ]

• Towards Performance Evaluation of Conservative Distributed Discrete-Event Network Simulations Using Second-Order Simulation.
  Philipp Andelfinger and Hannes Hartenstein.
  In Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM PADS, pages 221--230. ACM, 2013. [ bib | http | pdf ]

• Towards a Basic DHT Service: Analyzing Network Characteristics of a Widely Deployed DHT.
  Konrad Jünemann, Philipp Andelfinger, and Hannes Hartenstein.
  In 2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN), pages 1--7, July 2011. [ bib | doi | pdf ]


• GPU-Based Architectures and Their Benefit for Accurate and Efficient Wireless Network Simulations.
  Philipp Andelfinger, Jens Mittag, and Hannes Hartenstein.
  In 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, pages 421--424, July 2011. [ bib | doi | pdf ]

• BitMON: A Tool for Automated Monitoring of the BitTorrent DHT.
  Konrad Jünemann, Philipp Andelfinger, Jochen Dinger, and Hannes Hartenstein.
  In 2010 IEEE Tenth International Conference on Peer-to-Peer Computing (P2P), pages 1--2, Aug 2010. [ bib | doi | pdf ]