Stephan J. Eidenbenz

219 papers A* 8A 16B 22C 13Misc 29Journal 88Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Numerical Experiments with Parameter Setting of Trotterized Quantum Phase Estimation for Quantum Hamiltonian Ground State Computation. CoRR Elijah Pelofske, Stephan J. Eidenbenz
2026	J	`jnl`	Theoretical approximation ratios for Warm-Started QAOA on 3-regular max-cut instances at depth p = 1. Theor. Comput. Sci. Reuben Tate, Stephan J. Eidenbenz
2025	B	`conf`	Enhancing Quantum Expectation Values Via Exponential Error Suppression and CVaR Optimization. ISIT Touheed Anwar Atif, Reuben Blake Tate, Stephan J. Eidenbenz
2025	—	`conf`	Generative Discrete Event Process Simulation for Hidden Markov Models to Predict Competitor Time-to-Market. SIGSIM-PADS Nandakishore Santhi, Stephan J. Eidenbenz, Brian Key, George Tompkins
2025	J	`jnl`	MPS-JuliQAOA: User-friendly, Scalable MPS-based Simulation for Quantum Optimization. CoRR Sean Feeney, Reuben Tate, John Golden, Stephan J. Eidenbenz
2025	J	`jnl`	Quantum Graph Transformer for NLP Sentiment Classification. CoRR Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz
2025	J	`jnl`	Quantum Homotopy Algorithm for Solving Nonlinear PDEs and Flow Problems. CoRR Sachin S. Bharadwaj, Balasubramanya T. Nadiga, Stephan J. Eidenbenz, Katepalli R. Sreenivasan
2025	J	`jnl`	Quantum approximate multi-objective optimization. Nat. Comput. Sci. Ayse Kotil, Elijah Pelofske, Stephanie Riedmüller, Daniel J. Egger, Stephan J. Eidenbenz, Thorsten Koch, Stefan Woerner
2025	J	`jnl`	Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations. CoRR Atanu Barai, Stephan J. Eidenbenz, Nandakishore Santhi
2025	—	`conf`	Warm-Started QAOA with Aligned Mixers Converges Slowly Near the Poles of the Bloch Sphere. SOFSEM (2) Reuben Tate, Stephan J. Eidenbenz
2024	J	`jnl`	Correction to: Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
2024	J	`jnl`	Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
2024	J	`jnl`	Expected Maximin Fairness in Max-Cut and other Combinatorial Optimization Problems. CoRR Jad Salem, Reuben Tate, Stephan J. Eidenbenz
2024	J	`jnl`	Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization. ACM Trans. Model. Comput. Simul. Erik Skau, Andrew Hollis, Stephan J. Eidenbenz, Kim Ø. Rasmussen, Boian S. Alexandrov
2024	J	`jnl`	Generative Discrete Event Process Simulation for Hidden Markov Models to Predict Competitor Time-to-Market. CoRR Nandakishore Santhi, Stephan J. Eidenbenz, Brian Key, George Tompkins
2024	Misc	`conf`	Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation. QCE Shamminuj Aktar, Andreas Bärtschi, Diane Oyen, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
2024	J	`jnl`	Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation. CoRR Shamminuj Aktar, Andreas Bärtschi, Diane Oyen, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
2024	J	`jnl`	Guarantees on Warm-Started QAOA: Single-Round Approximation Ratios for 3-Regular MAXCUT and Higher-Round Scaling Limits. CoRR Reuben Tate, Stephan J. Eidenbenz
2024	C	`conf`	Hierarchical Multigrid Ansatz for Variational Quantum Algorithms. ISC Christo Meriwether Keller, Stephan J. Eidenbenz, Andreas Bärtschi, Daniel O'Malley, John Golden, Satyajayant Misra
2024	J	`jnl`	Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation. ACM Trans. Quantum Comput. Elijah Pelofske, Vincent Russo, Ryan LaRose, Andrea Mari, Dan Strano, Andreas Bärtschi, Stephan J. Eidenbenz, William J. Zeng
2024	J	`jnl`	Limitations for Quantum Algorithms to Solve Turbulent and Chaotic Systems. Quantum Dylan Lewis, Stephan J. Eidenbenz, Balasubramanya T. Nadiga, Yigit Subasi
2024	J	`jnl`	Provable bounds for noise-free expectation values computed from noisy samples. Nat. Comput. Sci. Samantha V. Barron, Daniel J. Egger, Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz, Matthis Lehmkuehler, Stefan Woerner
2024	J	`jnl`	Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. Future Gener. Comput. Syst. Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini, Torey Battelle, Daan Camps, David Casanova, Young Jay Choi, Frederic T. Chong, Charles Chung, Christopher Codella, Antonio D. Córcoles, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan J. Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev
2024	J	`jnl`	Scalable Experimental Bounds for Entangled Quantum State Fidelities. ACM Trans. Quantum Comput. Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz
2024	J	`jnl`	The Better Solution Probability Metric: Optimizing QAOA to Outperform its Warm-Start Solution. CoRR Sean Feeney, Reuben Tate, Stephan J. Eidenbenz
2024	—	`conf`	Trainability Barriers in Low-Depth QAOA Landscapes. CF Joel Rajakumar, John Golden, Andreas Bärtschi, Stephan J. Eidenbenz
2024	J	`jnl`	Trainability Barriers in Low-Depth QAOA Landscapes. CoRR Joel Rajakumar, John Golden, Andreas Bärtschi, Stephan J. Eidenbenz
2023	B	`conf`	BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. ICPADS Hamdy Abdelkhalik, Shamminuj Aktar, Yehia Arafa, Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Nishant Panda, Nirmal Prajapati, Nazmul Haque Turja, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
2023	J	`jnl`	Hierarchical Multigrid Ansatz for Variational Quantum Algorithms. CoRR Christo Meriwether Keller, Stephan J. Eidenbenz, Andreas Bärtschi, Daniel O'Malley, John Golden, Satyajayant Misra
2023	Misc	`conf`	High-Round QAOA for MAX $k$-SAT on Trapped Ion NISQ Devices. QCE Elijah Pelofske, Andreas Bärtschi, John Golden, Stephan J. Eidenbenz
2023	J	`jnl`	High-Round QAOA for MAX k-SAT on Trapped Ion NISQ Devices. CoRR Elijah Pelofske, Andreas Bärtschi, John Golden, Stephan J. Eidenbenz
2023	J	`jnl`	Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation. CoRR Elijah Pelofske, Vincent Russo, Ryan LaRose, Andrea Mari, Dan Strano, Andreas Bärtschi, Stephan J. Eidenbenz, William J. Zeng
2023	—	`conf`	JuliQAOA: Fast, Flexible QAOA Simulation. SC Workshops John Golden, Andreas Bärtschi, Dan O'Malley, Elijah Pelofske, Stephan J. Eidenbenz
2023	—	`conf`	LLVM Static Analysis for Program Characterization and Memory Reuse Profile Estimation. MEMSYS Atanu Barai, Nandakishore Santhi, Abdur Razzak, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
2023	J	`jnl`	LLVM Static Analysis for Program Characterization and Memory Reuse Profile Estimation. CoRR Atanu Barai, Nandakishore Santhi, Abdur Razzak, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
2023	J	`jnl`	Lower Bounds on Number of QAOA Rounds Required for Guaranteed Approximation Ratios. CoRR Naphan Benchasattabuse, Andreas Bärtschi, Luis Pedro García-Pintos, John Golden, Nathan Lemons, Stephan J. Eidenbenz
2023	Misc	`conf`	Numerical Evidence for Exponential Speed-Up of QAOA over Unstructured Search for Approximate Constrained Optimization. QCE John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2023	Misc	`conf`	Predicting Expressibility of Parameterized Quantum Circuits Using Graph Neural Network. QCE Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Diane Oyen, Stephan J. Eidenbenz
2023	J	`jnl`	Probing Quantum Telecloning on Superconducting Quantum Processors. CoRR Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz, Bryan Garcia, Boris Kiefer
2023	J	`jnl`	Provable bounds for noise-free expectation values computed from noisy samples. CoRR Samantha V. Barron, Daniel J. Egger, Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz, Matthis Lehmkuehler, Stefan Woerner
2023	C	`conf`	Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers. ISC Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
2023	J	`jnl`	Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers. CoRR Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
2023	—	`conf`	Scalable Experimental Bounds for Dicke and GHZ States Fidelities. CF Shamminuj Aktar, Abdel-Hameed A. Badawy, Andreas Bärtschi, Stephan J. Eidenbenz
2023	J	`jnl`	Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs. CoRR Elijah Pelofske, Andreas Bärtschi, Lukasz Cincio, John Golden, Stephan J. Eidenbenz
2023	Misc	`conf`	The Quantum Alternating Operator Ansatz for Satisfiability Problems. QCE John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2023	J	`jnl`	The Quantum Alternating Operator Ansatz for Satisfiability Problems. CoRR John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2022	J	`jnl`	BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. CoRR Shamminuj Aktar, Hamdy Abdelkhalik, Nazmul Haque Turja, Yehia Arafa, Atanu Barai, Nishant Panda, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
2022	J	`jnl`	Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. CoRR Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
2022	J	`jnl`	Evidence for Super-Polynomial Advantage of QAOA over Unstructured Search. CoRR John Golden, Andreas Bärtschi, Stephan J. Eidenbenz, Daniel O'Malley
2022	J	`jnl`	Fair Sampling Error Analysis on NISQ Devices. ACM Trans. Quantum Comput. John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2022	—	`conf`	Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones. ICRC Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
2022	J	`jnl`	Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones. CoRR Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
2022	J	`jnl`	PPT-Multicore: performance prediction of OpenMP applications using reuse profiles and analytical modeling. J. Supercomput. Atanu Barai, Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
2022	J	`jnl`	Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection. CoRR Erik Skau, Andrew Hollis, Stephan J. Eidenbenz, Kim Ø. Rasmussen, Boian S. Alexandrov
2022	J	`jnl`	Quantum Algorithm Implementations for Beginners. ACM Trans. Quantum Comput. Abhijith Jayakumar, Adetokunbo Adedoyin, John Ambrosiano, Petr M. Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo N. Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Alexander Malyzhenkov, David Mascarenas, Susan M. Mniszewski, Balu Nadiga, Daniel O'Malley, Diane Oyen, Scott Pakin, Lakshman Prasad, Randy Roberts, Phillip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter J. Swart, James G. Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu, Stephan J. Eidenbenz, Andreas Bärtschi, Patrick J. Coles, Marc Vuffray, Andrey Y. Lokhov
2022	Misc	`conf`	Quantum Telecloning on NISQ Computers. QCE Elijah Pelofske, Andreas Bärtschi, Bryan Garcia, Boris Kiefer, Stephan J. Eidenbenz
2022	J	`jnl`	Quantum Telecloning on NISQ Computers. CoRR Elijah Pelofske, Andreas Bärtschi, Bryan Garcia, Boris Kiefer, Stephan J. Eidenbenz
2022	J	`jnl`	Quantum Volume in Practice: What Users Can Expect from NISQ Devices. CoRR Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
2022	J	`jnl`	Scalable Experimental Bounds for Entangled Quantum State Fidelities. CoRR Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz
2022	Misc	`conf`	Short-Depth Circuits for Dicke State Preparation. QCE Andreas Bärtschi, Stephan J. Eidenbenz
2022	J	`jnl`	Short-Depth Circuits for Dicke State Preparation. CoRR Andreas Bärtschi, Stephan J. Eidenbenz
2021	J	`jnl`	A Divide-and-Conquer Approach to Dicke State Preparation. CoRR Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz
2021	A	`conf`	Hybrid, scalable, trace-driven performance modeling of GPGPUs. SC Yehia Arafa, Abdel-Hameed A. Badawy, Ammar ElWazir, Atanu Barai, Ali Eker, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
2021	—	`conf`	Load-Aware Dynamic Time Synchronization in Parallel Discrete Event Simulation. SIGSIM-PADS Ali Eker, Yehia Arafa, Abdel-Hameed A. Badawy, Nandakishore Santhi, Stephan J. Eidenbenz, Dmitry Ponomarev
2021	J	`jnl`	Machine Learning-enabled Scalable Performance Prediction of Scientific Codes. ACM Trans. Model. Comput. Simul. Gopinath Chennupati, Nandakishore Santhi, Phillip Romero, Stephan J. Eidenbenz
2021	J	`jnl`	PPT-Multicore: Performance Prediction of OpenMP applications using Reuse Profiles and Analytical Modeling. CoRR Atanu Barai, Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
2021	J	`jnl`	PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace. CoRR Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Yehia Arafa, Stephan J. Eidenbenz
2021	J	`jnl`	QAOA-based Fair Sampling on NISQ Devices. CoRR John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2021	Misc	`conf`	Sampling on NISQ Devices: "Who's the Fairest One of All?". QCE Elijah Pelofske, John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2021	J	`jnl`	Sampling on NISQ Devices: "Who's the Fairest One of All?". CoRR Elijah Pelofske, John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2021	Misc	`conf`	Threshold-Based Quantum Optimization. QCE John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2021	J	`jnl`	Threshold-Based Quantum Optimization. CoRR John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2020	J	`jnl`	Code Characterization With Graph Convolutions and Capsule Networks. IEEE Access Poornima Haridas, Gopinath Chennupati, Nandakishore Santhi, Phillip Romero, Stephan J. Eidenbenz
2020	C	`conf`	Embedding Algorithms for Quantum Annealers with Chimera and Pegasus Connection Topologies. ISC Stefanie Zbinden, Andreas Bärtschi, Hristo N. Djidjev, Stephan J. Eidenbenz
2020	A	`conf`	Fast, accurate, and scalable memory modeling of GPGPUs using reuse profiles. ICS Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Atanu Barai, Nandakishore Santhi, Stephan J. Eidenbenz
2020	Misc	`conf`	Grover Mixers for QAOA: Shifting Complexity from Mixer Design to State Preparation. QCE Andreas Bärtschi, Stephan J. Eidenbenz
2020	J	`jnl`	Grover Mixers for QAOA: Shifting Complexity from Mixer Design to State Preparation. CoRR Andreas Bärtschi, Stephan J. Eidenbenz
2020	J	`jnl`	Machine Learning Enabled Scalable Performance Prediction of Scientific Codes. CoRR Gopinath Chennupati, Nandakishore Santhi, Phillip Romero, Stephan J. Eidenbenz
2020	B	`conf`	NVIDIA GPGPUs Instructions Energy Consumption. ISPASS Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi
2020	—	`conf`	PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace. MEMSYS Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Yehia Arafa, Stephan J. Eidenbenz
2020	Misc	`conf`	The Quantum Alternating Operator Ansatz on Maximum k-Vertex Cover. QCE Jeremy Cook, Stephan J. Eidenbenz, Andreas Bärtschi
2020	J	`jnl`	Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs. CoRR Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi
2020	—	`conf`	Verified instruction-level energy consumption measurement for NVIDIA GPUs. CF Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi
2019	B	`conf`	Deterministic Preparation of Dicke States. FCT Andreas Bärtschi, Stephan J. Eidenbenz
2019	J	`jnl`	Deterministic Preparation of Dicke States. CoRR Andreas Bärtschi, Stephan J. Eidenbenz
2019	C	`conf`	GPUs Cache Performance Estimation using Reuse Distance Analysis. IPCCC Yehia Arafa, Gopinath Chennupati, Atanu Barai, Abdel-Hameed A. Badawy, Nandakishore Santhi, Stephan J. Eidenbenz
2019	J	`jnl`	Instructions' Latencies Characterization for NVIDIA GPGPUs. CoRR Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
2019	—	`conf`	Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs. HPEC Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
2019	J	`jnl`	Modeling Shared Cache Performance of OpenMP Programs using Reuse Distance. CoRR Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz
2019	J	`jnl`	Online Dominating Set. Algorithmica Joan Boyar, Stephan J. Eidenbenz, Lene M. Favrholdt, Michal Kotrbcík, Kim S. Larsen
2019	—	`conf`	POSTER: GPUs Pipeline Latency Analysis. ASAP Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
2019	J	`jnl`	PPT-GPU: Scalable GPU Performance Modeling. IEEE Comput. Archit. Lett. Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
2019	—	`conf`	Scalable Performance Prediction of Codes with Memory Hierarchy and Pipelines. SIGSIM-PADS Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
2019	J	`jnl`	The ISTI Rapid Response on Exploring Cloud Computing 2018. CoRR Carleton Coffrin, James Arnold, Stephan J. Eidenbenz, Derek Aberle, John Ambrosiano, Zachary K. Baker, Sara Brambilla, Michael J. Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt, David M. Fobes, Adam Gausmann, Sean N. Harris, Donovan Heimer, Marlin Holmes, Bill Junor, Csaba Kiss, Steve Linger, Rodman R. Linn, Li-Ta Lo, Jonathan MacCarthy, Omar Marcillo, Clay McGinnis, Alexander McQuarters, Eric Michalak, Arvind T. Mohan, Matt Nelson, Diane Oyen, Nidhi Parikh, Donatella Pasqualini, Aaron S. Pope, Reid B. Porter, Chris Rawlings, Hannah Reinbolt, Reid D. Rivenburgh, Philip Romero, Kevin Schoonover, Alexei N. Skurikhin, Daniel R. Tauritz, Dima Tretiak, Zhehui Wang, James Wernicke, Brad Wolfe, Phillip Wolfram, Jonathan Woodring
2018	Misc	`conf`	Imcsim: Parameterized Performance Prediction for Implicit Monte Carlo codes. WSC Gopinath Chennupati, Stephan J. Eidenbenz, Alex Long, Olena Tkachenko, Joseph Zerr, Jason Liu
2018	Misc	`conf`	Just-in-Time Parallel simulation. WSC Christopher Hannon, Dong Jin, Nandakishore Santhi, Stephan J. Eidenbenz, Jason Liu
2018	—	`conf`	PPT-GPU: performance prediction toolkit for GPUs identifying the impact of caches: extended abstract. MEMSYS Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
2018	—	`conf`	Parallel Application Performance Prediction Using Analysis Based Models and HPC Simulations. SIGSIM-PADS Mohammad Abu Obaida, Jason Liu, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
2018	J	`jnl`	Quantum Algorithm Implementations for Beginners. CoRR Patrick J. Coles, Stephan J. Eidenbenz, Scott Pakin, Adetokunbo Adedoyin, John Ambrosiano, Petr M. Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo N. Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Andrey Y. Lokhov, Alexander Malyzhenkov, David Mascarenas, Susan M. Mniszewski, Balu Nadiga, Dan O'Malley, Diane Oyen, Lakshman Prasad, Randy Roberts, Philip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter J. Swart, Marc Vuffray, Jim Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu
2018	—	`conf`	Sampling Simulation Model Profile Data for Analysis. SIGSIM-PADS Patrick Crawford, Peter D. Barnes Jr., Stephan J. Eidenbenz, Philip A. Wilsey
2018	—	`ch.`	Synthesis of Parallel Programs on Multi-Cores. Handbook of Grammatical Evolution Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan, Stephan J. Eidenbenz, Nandakishore Santhi
2017	C	`conf`	A Probabilistic Monte Carlo Framework for Branch Prediction. CLUSTER Bhargava Kalla, Nandakishore Santhi, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz
2017	—	`conf`	A Scalable Analytical Memory Model for CPU Performance Prediction. PMBS@SC Gopinath Chennupati, Nandakishore Santhi, Robert F. Bird, Sunil Thulasidasan, Abdel-Hameed A. Badawy, Satyajayant Misra, Stephan J. Eidenbenz
2017	Misc	`conf`	A brief history of HPC simulation and future challenges. WSC Kishwar Ahmed, Jason Liu, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz
2017	C	`conf`	AMM: Scalable Memory Reuse Model to Predict the Performance of Physics Codes. CLUSTER Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Sunil Thulasidasan
2017	Misc	`conf`	An analytical memory hierarchy model for performance prediction. WSC Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Sunil Thulasidasan
2017	C	`conf`	Probabilistic Monte Carlo simulations for static branch prediction. IPCCC Bhargava Kalla, Nandakishore Santhi, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz
2017	Misc	`conf`	Some properties of communication behaviors in discrete-event simulation models. WSC Patrick Crawford, Stephan J. Eidenbenz, Peter D. Barnes Jr., Philip A. Wilsey
2016	—	`conf`	An Integrated Interconnection Network Model for Large-Scale Performance Prediction. SIGSIM-PADS Kishwar Ahmed, Mohammad Obaida, Jason Liu, Stephan J. Eidenbenz, Nandakishore Santhi, Guillaume Chapuis
2016	—	`conf`	Design, Use and Evaluation of P-FSEFI: A Parallel Soft Error Fault Injection Framework for Emulating Soft Errors in Parallel Applications. SimuTools Qiang Guan, Nathan DeBardeleben, Panruo Wu, Stephan J. Eidenbenz, Sean Blanchard, Laura Monroe, Elisabeth Baseman, Li Tan
2016	J	`jnl`	Discrete event performance prediction of speculatively parallel temperature-accelerated dynamics. Simul. Richard J. Zamora, Arthur F. Voter, Danny Perez, Nandakishore Santhi, Susan M. Mniszewski, Sunil Thulasidasan, Stephan J. Eidenbenz
2016	J	`jnl`	GPU Performance Prediction Through Parallel Discrete Event Simulation and Common Sense. EAI Endorsed Trans. Ubiquitous Environ. Guillaume Chapuis, Stephan J. Eidenbenz, Nandakishore Santhi
2016	—	`conf`	Online Dominating Set. SWAT Joan Boyar, Stephan J. Eidenbenz, Lene M. Favrholdt, Michal Kotrbcík, Kim S. Larsen
2016	J	`jnl`	Online Dominating Set. CoRR Joan Boyar, Stephan J. Eidenbenz, Lene M. Favrholdt, Michal Kotrbcík, Kim S. Larsen
2016	Misc	`conf`	Predicting performance of Smoothed Particle Hydrodynamics codes at large scales. WSC Guillaume Chapuis, David Nicholaeff, Stephan J. Eidenbenz, Robert S. Pavel
2016	—	`conf`	Scalable Interconnection Network Models for Rapid Performance Prediction of HPC Applications. HPCC/SmartCity/DSS Kishwar Ahmed, Jason Liu, Stephan J. Eidenbenz, Joe Zerr
2015	Misc	`conf`	Parameterized benchmarking of parallel discrete event simulation systems: communication, computation, and memory. WSC Eunjung Park, Stephan J. Eidenbenz, Nandakishore Santhi, Guillaume Chapuis, Bradley W. Settlemyer
2015	Misc	`conf`	Simian integrated framework for parallel discrete event simulation on GPUs. WSC Guillaume Chapuis, Stephan J. Eidenbenz, Nandakishore Santhi, Eunjung Park
2015	J	`jnl`	TADSim: Discrete Event-Based Performance Prediction for Temperature-Accelerated Dynamics. ACM Trans. Model. Comput. Simul. Susan M. Mniszewski, Christoph Junghans, Arthur F. Voter, Danny Perez, Stephan J. Eidenbenz
2015	Misc	`conf`	The simian concept: parallel discrete event simulation with interpreted languages and just-in-time compilation. WSC Nandakishore Santhi, Stephan J. Eidenbenz, Jason Liu
2014	C	`conf`	Developing parallel, discrete event simulations in Python - first results and user experiences with the SimX library. SIMULTECH Sunil Thulasidasan, Lukas Kroc, Stephan J. Eidenbenz
2014	J	`jnl`	Hierarchical and Matrix Structures in a Large Organizational Email Network: Visualization and Modeling Approaches. CoRR Benjamin H. Sims, Nikolai Sinitsyn, Stephan J. Eidenbenz
2014	—	`ch.`	Hierarchical and Matrix Structures in a Large Organizational Email Network: Visualization and Modeling Approaches. Social Network Analysis Benjamin H. Sims, Nikolai Sinitsyn, Stephan J. Eidenbenz
2014	A	`conf`	Sim-Watchdog: Leveraging Temporal Similarity for Anomaly Detection in Dynamic Graphs. ICDCS Guanhua Yan, Stephan J. Eidenbenz
2013	J	`jnl`	Editorial for Computer Networks special issue on ''Towards a Science of Cyber Security''. Comput. Networks Stephan J. Eidenbenz, Madhav V. Marathe, Arunabha Sen
2013	—	`conf`	Themis-1: an agent-based model of a modern monetary reserve system. SpringSim (ADS) Sean Williams, Stephan J. Eidenbenz
2013	B	`conf`	Visualization and modeling of structural features of a large organizational email network. ASONAM Benjamin H. Sims, Nikolai Sinitsyn, Stephan J. Eidenbenz
2013	J	`jnl`	iDispatcher: A unified platform for secure planet-scale information dissemination. Peer-to-Peer Netw. Appl. Md. Sazzadur Rahman, Guanhua Yan, Harsha V. Madhyastha, Michalis Faloutsos, Stephan J. Eidenbenz, Mike Fisk
2012	—	`conf`	Containment of misinformation spread in online social networks. WebSci Nam P. Nguyen, Guanhua Yan, My T. Thai, Stephan J. Eidenbenz
2012	J	`jnl`	Detection of Selfish Manipulation of Carrier Sensing in 802.11 Networks. IEEE Trans. Mob. Comput. Konstantinos Pelechrinis, Guanhua Yan, Stephan J. Eidenbenz, Srikanth V. Krishnamurthy
2012	J	`jnl`	Link Positions Matter: A Noncommutative Routing Metric for Wireless Mesh Networks. IEEE Trans. Mob. Comput. Gentian Jakllari, Stephan J. Eidenbenz, Nicolas W. Hengartner, Srikanth V. Krishnamurthy, Michalis Faloutsos
2012	Misc	`conf`	Optimization principles for arithmetic functions in hardware-software co-design. WSC Vladimir Delengov, Yuan Li, Jennifer Thompson, Lukas Kroc, Nandakishore Santhi, Stephan J. Eidenbenz
2012	C	`conf`	SimCore: A Library for Rapid Development of Large Scale Parallel Simulations. SIMULTECH Sunil Thulasidasan, Lukas Kroc, Stephan J. Eidenbenz
2012	A	`conf`	Toward comprehensive and accurate simulation performance prediction of parallel file systems. DSN Miguel A. Erazo, Ting Li, Jason Liu, Stephan J. Eidenbenz
2011	—	`ed.`	4th International ICST Conference on Simulation Tools and Techniques, SIMUTools '11, Barcelona, Spain, March 22 - 24, 2011 SIMUTools Jason Liu, Francesco Quaglia, Stephan J. Eidenbenz, Stephen Gilmore
2011	J	`jnl`	AntBot: Anti-pollution peer-to-peer botnets. Comput. Networks Guanhua Yan, Duc T. Ha, Stephan J. Eidenbenz
2011	A*	`conf`	Geography-based analysis of the Internet infrastructure. INFOCOM Shiva Prasad Kasiviswanathan, Stephan J. Eidenbenz, Guanhua Yan
2011	J	`jnl`	Lattice routing: A 4D routing scheme for multiradio multichannel ad hoc networks. Ad Hoc Networks Sandeep Kakumanu, Stephan J. Eidenbenz, Raghupathy Sivakumar
2011	A	`conf`	Malware propagation in online social networks: nature, dynamics, and defense implications. AsiaCCS Guanhua Yan, Guanling Chen, Stephan J. Eidenbenz, Nan Li
2011	B	`conf`	Measuring the effectiveness of infrastructure-level detection of large-scale botnets. IWQoS Yuanyuan Zeng, Guanhua Yan, Stephan J. Eidenbenz, Kang G. Shin
2011	—	`ch.`	Optimal Placement of Ad Hoc Devices Under a VCG-Style Routing Protocol. Theoretical Aspects of Distributed Computing in Sensor Networks Peter Widmayer, Luzi Anderegg, Stephan J. Eidenbenz, Leon Peeters
2011	—	`conf`	Poster: FLAMBES: evolving fast performance models. SC Companion Adam Crume, Carlos Maltzahn, Jason Cope, Sam Lang, Robert B. Ross, Philip H. Carns, Christopher D. Carothers, Ning Liu, Curtis L. Janssen, John Bent, Stephan J. Eidenbenz, Meghan McClelland
2011	C	`conf`	RatBot: Anti-enumeration Peer-to-Peer Botnets. ISC Guanhua Yan, Songqing Chen, Stephan J. Eidenbenz
2010	J	`jnl`	Criticality analysis of Internet infrastructure. Comput. Networks Guanhua Yan, Stephan J. Eidenbenz, Sunil Thulasidasan, Pallab Datta, Venkatesh Ramaswamy
2010	Misc	`conf`	CyberSim: Geographic, temporal, and organizational dynamics of malware propagation. WSC Nandakishore Santhi, Guanhua Yan, Stephan J. Eidenbenz
2010	B	`conf`	Explicit Spatial Scattering for Load Balancing in Conservatively Synchronized Parallel Discrete Event Simulations. PADS Sunil Thulasidasan, Shiva Prasad Kasiviswanathan, Stephan J. Eidenbenz, Philip Romero
2009	Misc	`conf`	Accelerating Traffic Microsimulations: A Parallel Discrete-event Queue-based Approach for Speed and Scale. WSC Sunil Thulasidasan, Stephan J. Eidenbenz
2009	—	`conf`	ActivitySim: large-scale agent-based activity generation for infrastructure simulation. SpringSim Emanuele Galli, Leticia Cuellar, Stephan J. Eidenbenz, Mary Ewers, Sue Mniszewski, Christof Teuscher
2009	A	`conf`	Blue-Watchdog: Detecting Bluetooth worm propagation in public areas. DSN Guanhua Yan, Leticia Cuellar, Stephan J. Eidenbenz, Nicolas W. Hengartner
2009	Misc	`conf`	Designing systems for large-scale, discrete-event simulations: Experiences with the FastTrans parallel microsimulator. HiPC Sunil Thulasidasan, Shiva Prasad Kasiviswanathan, Stephan J. Eidenbenz, Emanuele Galli, Susan M. Mniszewski, Philip Romero
2009	A*	`conf`	Detecting Selfish Exploitation of Carrier Sensing in 802.11 Networks. INFOCOM Konstantinos Pelechrinis, Guanhua Yan, Stephan J. Eidenbenz, Srikanth V. Krishnamurthy
2009	J	`jnl`	Incentive Compatible and Globally Efficient Position Based Routing for Selfish Reverse Multicast in Wireless Sensor Networks. Algorithms Stephan J. Eidenbenz, Gunes Ercal-Ozkaya, Adam Meyerson, Allon G. Percus, Sarvesh Kumar Varatharajan
2009	—	`conf`	Large-scale telephone network simulation: discrete event vs. steady state. SpringSim Russell Bent, Stephan J. Eidenbenz, Sunil Thulasidasan
2009	—	`conf`	Mobi-watchdog: you can steal, but you can't run! WISEC Guanhua Yan, Stephan J. Eidenbenz, Bo Sun
2009	J	`jnl`	Modeling Propagation Dynamics of Bluetooth Worms (Extended Version). IEEE Trans. Mob. Comput. Guanhua Yan, Stephan J. Eidenbenz
2009	—	`conf`	On a locally minimum cost forwarding game. FOWANC@MobiHoc Stephan J. Eidenbenz, Gunes Ercal-Ozkaya, Adam Meyerson, Allon G. Percus
2009	A	`conf`	On the effectiveness of structural detection and defense against P2P-based botnets. DSN Duc T. Ha, Guanhua Yan, Stephan J. Eidenbenz, Hung Q. Ngo
2009	A	`conf`	SMS-Watchdog: Profiling Social Behaviors of SMS Users for Anomaly Detection. RAID Guanhua Yan, Stephan J. Eidenbenz, Emanuele Galli
2009	Misc	`conf`	SessionSim: Activity-Based Session Generation for Network Simulation. WSC Lukas Kroc, Stephan J. Eidenbenz, James P. Smith
2008	—	`conf`	Catching Instant Messaging Worms with Change-Point Detection Techniques. LEET Guanhua Yan, Zhen Xiao, Stephan J. Eidenbenz
2008	B	`conf`	DDoS Mitigation in Non-cooperative Environments. Networking Guanhua Yan, Stephan J. Eidenbenz
2008	B	`conf`	Dynamic Balancing of Packet Filtering Workloads on Distributed Firewalls. IWQoS Guanhua Yan, Songqing Chen, Stephan J. Eidenbenz
2008	A	`conf`	FairCast: fair multi-media streaming in ad hoc networks through local congestion control. MSWiM Gustavo Marfia, Paolo Lutterotti, Stephan J. Eidenbenz, Giovanni Pau, Mario Gerla
2008	A*	`conf`	Link Positions Matter: A Noncommutative Routing Metric for Wireless Mesh Network. INFOCOM Gentian Jakllari, Stephan J. Eidenbenz, Nicolas W. Hengartner, Srikanth V. Krishnamurthy, Michalis Faloutsos
2008	J	`jnl`	On the Complexity of Variations of Equal Sum Subsets. Nord. J. Comput. Mark Cieliebak, Stephan J. Eidenbenz, Aris Pagourtzis, Konrad Schlude
2008	B	`conf`	On the Impact of Realism of Mobility Models for Wireless Networks. GLOBECOM Hector D. Flores, Rudolf H. Riedi, Stephan J. Eidenbenz, Nicolas W. Hengartner
2008	J	`jnl`	The COMMIT Protocol for Truthful and Cost-Efficient Routing in Ad Hoc Networks with Selfish Nodes. IEEE Trans. Mob. Comput. Stephan J. Eidenbenz, Giovanni Resta, Paolo Santi
2007	A	`conf`	Bluetooth worm propagation: mobility pattern matters! AsiaCCS Guanhua Yan, Hector D. Flores, Leticia Cuellar, Nicolas W. Hengartner, Stephan J. Eidenbenz, Vincent Q. Vu
2007	B	`conf`	COBRA - A Multi-path Adaptive Local Load Sensing Routing Protocol for Wireless Sensor Networks. WiMob Venkatesh Ramaswamy, Anders A. Hansson, Stephan J. Eidenbenz
2007	—	`conf`	Incentive-Compatible, Energy-Optimal, and Efficient Ad Hoc Networking in a Selfish Milieu. HICSS Stephan J. Eidenbenz, Luzi Anderegg, Roger Wattenhofer
2007	B	`conf`	Light-Weight Control of Non-responsive Traffic with Low Buffer Requirements. Networking Venkatesh Ramaswamy, Leticia Cuellar, Stephan J. Eidenbenz, Nicolas W. Hengartner, Christoph Ambühl, Birgitta Weber
2007	B	`conf`	Low Overhead Router-Based Congestion Control Techniques to Protect Responsive Traffic. GLOBECOM Venkatesh Ramaswamy, Leticia Cuellar, Stephan J. Eidenbenz, Nicolas W. Hengartner
2007	A	`conf`	Modeling Propagation Dynamics of Bluetooth Worms. ICDCS Guanhua Yan, Stephan J. Eidenbenz
2007	J	`jnl`	On a New Class of Load Balancing Network Protocols. Adv. Complex Syst. Stephan J. Eidenbenz, Anders A. Hansson, Venkatesh Ramaswamy, Christian M. Reidys
2007	C	`conf`	Optimal Placement of Ad-Hoc Devices Under a VCG-Style Routing Protocol. ALGOSENSORS Luzi Anderegg, Stephan J. Eidenbenz, Leon Peeters, Peter Widmayer
2007	—	`conf`	Preventing Bandwidth Abuse at the Router through Sending Rate Estimate-Based Active Queue Management. ICC Venkatesh Ramaswamy, Leticia Cuellar, Stephan J. Eidenbenz, Nicolas W. Hengartner
2007	A*	`conf`	Revisiting minimum cost reliable routing in wireless mesh networks. MobiCom Gentian Jakllari, Stephan J. Eidenbenz, Nicolas W. Hengartner, Srikanth V. Krishnamurthy, Michalis Faloutsos
2007	A*	`conf`	Scalable and Reliable Sensor Network Routing: Performance Study from Field Deployment. INFOCOM Matt S. Nassr, Jangeun Jun, Stephan J. Eidenbenz, Anders A. Hansson, Angela M. Mielke
2007	B	`conf`	The Optimum Number of OSPF Areas for MANETs. SECON Jangeun Jun, Mihail L. Sichitiu, Hector D. Flores, Stephan J. Eidenbenz
2006	B	`conf`	Algorithmic aspects of communication in ad-hoc networks with smart antennas. MobiHoc Karthikeyan Sundaresan, Weizhao Wang, Stephan J. Eidenbenz
2006	A	`conf`	Bluetooth Worms: Models, Dynamics, and Defense Implications. ACSAC Guanhua Yan, Stephan J. Eidenbenz
2006	—	`conf`	Describing MANETS: principal component analysis of sparse mobility traces. PE-WASUN Hector D. Flores, Stephan J. Eidenbenz, Rudolf H. Riedi, Nicolas W. Hengartner
2006	J	`jnl`	Equilibria in Topology Control Games for Ad Hoc Networks. Mob. Networks Appl. Stephan J. Eidenbenz, V. S. Anil Kumar, Sibylle Zust
2006	J	`jnl`	Finding minimum hidden guard sets in polygons - tight approximability results. Comput. Geom. Stephan J. Eidenbenz
2006	Misc	`conf`	Multi-scale integrated information and telecommunications system (MIITS): first results from a large-scale end-to-end network simulator. WSC Roman Waupotitsch, Stephan J. Eidenbenz, James P. Smith, Lukas Kroc
2006	A*	`conf`	OURS: optimal unicast routing systems in non-cooperative wireless networks. MobiCom Weizhao Wang, Xiang-Yang Li, Stephan J. Eidenbenz, Yu Wang
2006	B	`conf`	Sluggish Calendar Queues for Network Simulation. MASCOTS Guanhua Yan, Stephan J. Eidenbenz
2005	A	`conf`	COMMIT: A Sender-Centric Truthful and Energy-Efficient Routing Protocol for Ad Hoc Networks with Selfish Nodes. IPDPS Stephan J. Eidenbenz, Giovanni Resta, Paolo Santi
2005	J	`jnl`	Complexity and Approximability of Double Digest. J. Bioinform. Comput. Biol. Mark Cieliebak, Stephan J. Eidenbenz, Gerhard J. Woeginger
2005	Misc	`conf`	Los Alamos communication network simulation. WSC Stephan J. Eidenbenz
2005	—	`conf`	Maneuverable Relays to Improve Energy Efficiency in Sensor Networks. PerCom Workshops Stephan J. Eidenbenz, Lukas Kroc, James P. Smith
2005	J	`jnl`	Parametric Probabilistic Routing in Sensor Networks. Mob. Networks Appl. Christopher L. Barrett, Stephan J. Eidenbenz, Lukas Kroc, Madhav V. Marathe, James P. Smith
2005	J	`jnl`	Partial Digest is hard to solve for erroneous input data. Theor. Comput. Sci. Mark Cieliebak, Stephan J. Eidenbenz, Paolo Penna
2005	Misc	`conf`	Probabilistic multi-path vs. deterministic single-path protocols for dynamic ad-hoc network scenarios. SAC Christopher L. Barrett, Stephan J. Eidenbenz, Lukas Kroc, Madhav V. Marathe, James P. Smith
2004	B	`conf`	Measurement Errors Make the Partial Digest Problem NP-Hard. LATIN Mark Cieliebak, Stephan J. Eidenbenz
2004	J	`jnl`	Preface. Theor. Comput. Sci. Stephan J. Eidenbenz, Matthew Hennessy, Rafael Morales Bueno, Francisco Triguero Ruiz, Peter Widmayer, Ricardo Conejo
2003	A*	`conf`	Ad hoc-VCG: a truthful and cost-efficient routing protocol for mobile ad hoc networks with selfish agents. MobiCom Luzi Anderegg, Stephan J. Eidenbenz
2003	J	`jnl`	An Approximation Algorithm for Minimum Convex Cover with Logarithmic Performance Guarantee. SIAM J. Comput. Stephan J. Eidenbenz, Peter Widmayer
2003	B	`conf`	Composing Equipotent Teams. FCT Mark Cieliebak, Stephan J. Eidenbenz, Aris Pagourtzis
2003	Misc	`conf`	Double Digest Revisited: Complexity and Approximability in the Presence of Noisy Data. COCOON Mark Cieliebak, Stephan J. Eidenbenz, Gerhard J. Woeginger
2003	—	`conf`	Equilibria in topology control games for ad hoc networks. DIALM-POMC Stephan J. Eidenbenz, V. S. Anil Kumar, Sibylle Zust
2003	B	`conf`	Flexible Train Rostering. ISAAC Stephan J. Eidenbenz, Aris Pagourtzis, Peter Widmayer
2003	C	`conf`	Noisy Data Make the Partial Digest Problem NP-hard. WABI Mark Cieliebak, Stephan J. Eidenbenz, Paolo Penna
2003	—	`conf`	Parametric probabilistic sensor network routing. WSNA Christopher L. Barrett, Stephan J. Eidenbenz, Lukas Kroc, Madhav V. Marathe, James P. Smith
2003	A	`conf`	Train Routing Algorithms: Concepts, Design Choises, and Practical Considerations. ALENEX Luzi Anderegg, Stephan J. Eidenbenz, Martin Gantenbein, Christoph Stamm, David Scot Taylor, Birgitta Weber, Peter Widmayer
2002	J	`jnl`	Approximation algorithms for terrain guarding. Inf. Process. Lett. Stephan J. Eidenbenz
2002	A*	`ed.`	Automata, Languages and Programming, 29th International Colloquium, ICALP 2002, Malaga, Spain, July 8-13, 2002, Proceedings ICALP Peter Widmayer, Francisco Triguero Ruiz, Rafael Morales Bueno, Matthew Hennessy, Stephan J. Eidenbenz, Ricardo Conejo
2002	J	`jnl`	Inapproximability of finding maximum hidden sets on polygons and terrains. Comput. Geom. Stephan J. Eidenbenz
2002	—	`conf`	Optimum Inapproximability Results for Finding Minimum Hidden Guard Sets in Polygons and Terrains. SWAT Stephan J. Eidenbenz
2001	A	`conf`	An Approximation Algorithm for MINIMUM CONVEX COVER with Logarithmic Performance Guarantee. ESA Stephan J. Eidenbenz, Peter Widmayer
2001	J	`jnl`	Inapproximability Results for Guarding Polygons and Terrains. Algorithmica Stephan J. Eidenbenz, Christoph Stamm, Peter Widmayer
2000	—	`conf`	MAXIMUM CLIQUE and MINIMUM CLIQUE PARTITION in Visibility Graphs. IFIP TCS Stephan J. Eidenbenz, Christoph Stamm
1999	B	`ed.`	Graph-Theoretic Concepts in Computer Science, 25th International Workshop, WG '99, Ascona, Switzerland, June 17-19, 1999, Proceedings WG Peter Widmayer, Gabriele Neyer, Stephan J. Eidenbenz
1999	B	`conf`	How Many People Can Hide in a Terrain? ISAAC Stephan J. Eidenbenz
1998	C	`conf`	A Prototype System for Light Propagation in Terrains. Computer Graphics International Christoph Stamm, Stephan J. Eidenbenz, Michael Beck, Peter Stucki, Peter Widmayer
1998	—	`conf`	A modified longest side bisection triangulation. CCCG Christoph Stamm, Stephan J. Eidenbenz, Renato Pajarola
1998	B	`conf`	Inapproximability Results for Guarding Polygons without Holes. ISAAC Stephan J. Eidenbenz
1998	—	`conf`	Inapproximability of some art gallery problems. CCCG Stephan J. Eidenbenz, Christoph Stamm, Peter Widmayer
1998	A	`conf`	Positioning Guards at Fixed Height Above a Terrain - An Optimum Inapproximability Result. ESA Stephan J. Eidenbenz, Christoph Stamm, Peter Widmayer