Stephan J. Eidenbenz

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 96

Top Venues

Publications

Shamminuj Aktar, Andreas Bärtschi, Diane Oyen, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation. CoRR (2024)
Joel Rajakumar, John K. Golden, Andreas Bärtschi, Stephan J. Eidenbenz
Trainability Barriers in Low-Depth QAOA Landscapes. CoRR (2024)
Joel Rajakumar, John K. Golden, Andreas Bärtschi, Stephan J. Eidenbenz
Trainability Barriers in Low-Depth QAOA Landscapes. CF (2024)
Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. 80 (3) (2024)
Reuben Tate, Stephan J. Eidenbenz
Guarantees on Warm-Started QAOA: Single-Round Approximation Ratios for 3-Regular MAXCUT and Higher-Round Scaling Limits. CoRR (2024)
Ismael Boureima, Manish Bhattarai, Maksim Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
Correction to: Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. 80 (4) (2024)
John K. Golden, Andreas Bärtschi, Dan O'Malley, Elijah Pelofske, Stephan J. Eidenbenz
JuliQAOA: Fast, Flexible QAOA Simulation. SC Workshops (2023)
Atanu Barai, Nandakishore Santhi, Abdur Razzak, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
LLVM Static Analysis for Program Characterization and Memory Reuse Profile Estimation. MEMSYS (2023)
Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers. ISC (2023)
Atanu Barai, Nandakishore Santhi, Abdur Razzak, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
LLVM Static Analysis for Program Characterization and Memory Reuse Profile Estimation. CoRR (2023)
Elijah Pelofske, Andreas Bärtschi, Lukasz Cincio, John K. Golden, Stephan J. Eidenbenz
Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs. CoRR (2023)
Shamminuj Aktar, Abdel-Hameed A. Badawy, Andreas Bärtschi, Stephan J. Eidenbenz
Scalable Experimental Bounds for Dicke and GHZ States Fidelities. CF (2023)
Christo Meriwether Keller, Stephan J. Eidenbenz, Andreas Bärtschi, Daniel O'Malley, John K. Golden, Satyajayant Misra
Hierarchical Multigrid Ansatz for Variational Quantum Algorithms. CoRR (2023)
John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
The Quantum Alternating Operator Ansatz for Satisfiability Problems. CoRR (2023)
Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz, Bryan Garcia, Boris Kiefer
Probing Quantum Telecloning on Superconducting Quantum Processors. CoRR (2023)
Elijah Pelofske, Andreas Bärtschi, John K. Golden, Stephan J. Eidenbenz
High-Round QAOA for MAX k-SAT on Trapped Ion NISQ Devices. CoRR (2023)
Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Diane Oyen, Stephan J. Eidenbenz
Predicting Expressibility of Parameterized Quantum Circuits Using Graph Neural Network. QCE (2023)
Naphan Benchasattabuse, Andreas Bärtschi, Luis Pedro García-Pintos, John K. Golden, Nathan Lemons, Stephan J. Eidenbenz
Lower Bounds on Number of QAOA Rounds Required for Guaranteed Approximation Ratios. CoRR (2023)
John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
The Quantum Alternating Operator Ansatz for Satisfiability Problems. QCE (2023)
Elijah Pelofske, Andreas Bärtschi, John K. Golden, Stephan J. Eidenbenz
High-Round QAOA for MAX $k$-SAT on Trapped Ion NISQ Devices. QCE (2023)
Elijah Pelofske, Vincent Russo, Ryan LaRose, Andrea Mari, Dan Strano, Andreas Bärtschi, Stephan J. Eidenbenz, William J. Zeng
Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation. CoRR (2023)
Samantha V. Barron, Daniel J. Egger, Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz, Matthis Lehmkuehler, Stefan Woerner
Provable bounds for noise-free expectation values computed from noisy samples. CoRR (2023)
John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
Numerical Evidence for Exponential Speed-Up of QAOA over Unstructured Search for Approximate Constrained Optimization. QCE (2023)
Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers. CoRR (2023)
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
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. ICPADS (2023)
Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. CoRR (2022)
Elijah Pelofske, Andreas Bärtschi, Bryan Garcia, Boris Kiefer, Stephan J. Eidenbenz
Quantum Telecloning on NISQ Computers. CoRR (2022)
Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones. ICRC (2022)
Elijah Pelofske, Andreas Bärtschi, Bryan Garcia, Boris Kiefer, Stephan J. Eidenbenz
Quantum Telecloning on NISQ Computers. QCE (2022)
Andreas Bärtschi, Stephan J. Eidenbenz
Short-Depth Circuits for Dicke State Preparation. CoRR (2022)
Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
Quantum Volume in Practice: What Users Can Expect from NISQ Devices. CoRR (2022)
Shamminuj Aktar, Hamdy Abdelkhalik, Nazmul Haque Turja, Yehia Arafa, Atanu Barai, Nishant Panda, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. CoRR (2022)
Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz
Scalable Experimental Bounds for Entangled Quantum State Fidelities. CoRR (2022)
Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones. CoRR (2022)
Andreas Bärtschi, Stephan J. Eidenbenz
Short-Depth Circuits for Dicke State Preparation. QCE (2022)
Atanu Barai, Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
PPT-Multicore: performance prediction of OpenMP applications using reuse profiles and analytical modeling. J. Supercomput. 78 (2) (2022)
John K. Golden, Andreas Bärtschi, Stephan J. Eidenbenz, Daniel O'Malley
Evidence for Super-Polynomial Advantage of QAOA over Unstructured Search. CoRR (2022)
Erik Skau, Andrew Hollis, Stephan J. Eidenbenz, Kim Ø. Rasmussen, Boian S. Alexandrov
Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection. CoRR (2022)
Elijah Pelofske, John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
Sampling on NISQ Devices: "Who's the Fairest One of All?". QCE (2021)
John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
QAOA-based Fair Sampling on NISQ Devices. CoRR (2021)
John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
Threshold-Based Quantum Optimization. QCE (2021)
Elijah Pelofske, John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
Sampling on NISQ Devices: "Who's the Fairest One of All?". CoRR (2021)
Ali Eker, Yehia Arafa, Abdel-Hameed A. Badawy, Nandakishore Santhi, Stephan J. Eidenbenz, Dmitry V. Ponomarev
Load-Aware Dynamic Time Synchronization in Parallel Discrete Event Simulation. SIGSIM-PADS (2021)
Gopinath Chennupati, Nandakishore Santhi, Phillip Romero, Stephan J. Eidenbenz
Machine Learning-enabled Scalable Performance Prediction of Scientific Codes. ACM Trans. Model. Comput. Simul. 31 (2) (2021)
John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
Threshold-Based Quantum Optimization. CoRR (2021)
Yehia Arafa, Abdel-Hameed A. Badawy, Ammar ElWazir, Atanu Barai, Ali Eker, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
Hybrid, scalable, trace-driven performance modeling of GPGPUs. SC (2021)
Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz
A Divide-and-Conquer Approach to Dicke State Preparation. CoRR (2021)
Atanu Barai, Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
PPT-Multicore: Performance Prediction of OpenMP applications using Reuse Profiles and Analytical Modeling. CoRR (2021)
Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Yehia Arafa, Stephan J. Eidenbenz
PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace. CoRR (2021)
Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi
Verified instruction-level energy consumption measurement for NVIDIA GPUs. CF (2020)
Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Atanu Barai, Nandakishore Santhi, Stephan J. Eidenbenz
Fast, accurate, and scalable memory modeling of GPGPUs using reuse profiles. ICS (2020)
Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi
Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs. CoRR (2020)
Poornima Haridas, Gopinath Chennupati, Nandakishore Santhi, Phillip Romero, Stephan J. Eidenbenz
Code Characterization With Graph Convolutions and Capsule Networks. IEEE Access 8 (2020)
Stefanie Zbinden, Andreas Bärtschi, Hristo N. Djidjev, Stephan J. Eidenbenz
Embedding Algorithms for Quantum Annealers with Chimera and Pegasus Connection Topologies. ISC (2020)
Gopinath Chennupati, Nandakishore Santhi, Phillip Romero, Stephan J. Eidenbenz
Machine Learning Enabled Scalable Performance Prediction of Scientific Codes. CoRR (2020)
Andreas Bärtschi, Stephan J. Eidenbenz
Grover Mixers for QAOA: Shifting Complexity from Mixer Design to State Preparation. CoRR (2020)
Andreas Bärtschi, Stephan J. Eidenbenz
Grover Mixers for QAOA: Shifting Complexity from Mixer Design to State Preparation. QCE (2020)
Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Yehia Arafa, Stephan J. Eidenbenz
PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace. MEMSYS (2020)
Jeremy Cook, Stephan J. Eidenbenz, Andreas Bärtschi
The Quantum Alternating Operator Ansatz on Maximum k-Vertex Cover. QCE (2020)
Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi
NVIDIA GPGPUs Instructions Energy Consumption. ISPASS (2020)
Yehia Arafa, Gopinath Chennupati, Atanu Barai, Abdel-Hameed A. Badawy, Nandakishore Santhi, Stephan J. Eidenbenz
GPUs Cache Performance Estimation using Reuse Distance Analysis. IPCCC (2019)
Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
POSTER: GPUs Pipeline Latency Analysis. ASAP (2019)
Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
Instructions' Latencies Characterization for NVIDIA GPGPUs. CoRR (2019)
Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz
Modeling Shared Cache Performance of OpenMP Programs using Reuse Distance. CoRR (2019)
Joan Boyar, Stephan J. Eidenbenz, Lene M. Favrholdt, Michal Kotrbcík, Kim S. Larsen
Online Dominating Set. Algorithmica 81 (5) (2019)
Andreas Bärtschi, Stephan J. Eidenbenz
Deterministic Preparation of Dicke States. FCT (2019)
Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs. HPEC (2019)
Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
PPT-GPU: Scalable GPU Performance Modeling. IEEE Comput. Archit. Lett. 18 (2019)
Andreas Bärtschi, Stephan J. Eidenbenz
Deterministic Preparation of Dicke States. CoRR (2019)
Carleton Coffrin, James Arnold, Stephan J. Eidenbenz, Derek Aberle, John Ambrosiano, Zachary K. Baker, Sara Brambilla, Michael Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt, David M. Fobes, Adam Gausmann, Sean Harris, Donovan Heimer, Marlin Holmes, Bill Junor, Csaba Kiss, Steve Linger, Rodman Linn, Li-Ta Lo, Jonathan MacCarthy, Omar Marcillo, Clay McGinnis, Alexander McQuarters, Eric Michalak, Arvind 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
The ISTI Rapid Response on Exploring Cloud Computing 2018. CoRR (2019)
Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
Scalable Performance Prediction of Codes with Memory Hierarchy and Pipelines. SIGSIM-PADS (2019)
Mohammad Abu Obaida, Jason Liu, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
Parallel Application Performance Prediction Using Analysis Based Models and HPC Simulations. SIGSIM-PADS (2018)
Christopher Hannon, Dong Jin, Nandakishore Santhi, Stephan J. Eidenbenz, Jason Liu
Just-in-Time Parallel simulation. WSC (2018)
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 Dennis Lee Mascarenas, Susan M. Mniszewski, Balu Nadiga, Dan O'Malley, Diane Oyen, Lakshman Prasad, Randy Roberts, Philip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter Swart, Marc Vuffray, Jim Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu
Quantum Algorithm Implementations for Beginners. CoRR (2018)
Patrick Crawford, Peter D. Barnes Jr., Stephan J. Eidenbenz, Philip A. Wilsey
Sampling Simulation Model Profile Data for Analysis. SIGSIM-PADS (2018)
Gopinath Chennupati, Stephan J. Eidenbenz, Alex Long, Olena Tkachenko, Joseph Zerr, Jason Liu
Imcsim: Parameterized Performance Prediction for Implicit Monte Carlo codes. WSC (2018)
Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz
PPT-GPU: performance prediction toolkit for GPUs identifying the impact of caches: extended abstract. MEMSYS (2018)
Bhargava Kalla, Nandakishore Santhi, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz
A Probabilistic Monte Carlo Framework for Branch Prediction. CLUSTER (2017)
Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Sunil Thulasidasan
An analytical memory hierarchy model for performance prediction. WSC (2017)
Bhargava Kalla, Nandakishore Santhi, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz
Probabilistic Monte Carlo simulations for static branch prediction. IPCCC (2017)
Patrick Crawford, Stephan J. Eidenbenz, Peter D. Barnes Jr., Philip A. Wilsey
Some properties of communication behaviors in discrete-event simulation models. WSC (2017)
Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Sunil Thulasidasan
AMM: Scalable Memory Reuse Model to Predict the Performance of Physics Codes. CLUSTER (2017)
Gopinath Chennupati, Nandakishore Santhi, Robert F. Bird, Sunil Thulasidasan, Abdel-Hameed A. Badawy, Satyajayant Misra, Stephan J. Eidenbenz
A Scalable Analytical Memory Model for CPU Performance Prediction. PMBS@SC (2017)
Kishwar Ahmed, Jason Liu, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz
A brief history of HPC simulation and future challenges. WSC (2017)
Guillaume Chapuis, David Nicholaeff, Stephan J. Eidenbenz, Robert S. Pavel
Predicting performance of Smoothed Particle Hydrodynamics codes at large scales. WSC (2016)
Richard J. Zamora, Arthur F. Voter, Danny Perez, Nandakishore Santhi, Susan M. Mniszewski, Sunil Thulasidasan, Stephan J. Eidenbenz
Discrete event performance prediction of speculatively parallel temperature-accelerated dynamics. Simul. 92 (12) (2016)
Kishwar Ahmed, Mohammad Obaida, Jason Liu, Stephan J. Eidenbenz, Nandakishore Santhi, Guillaume Chapuis
An Integrated Interconnection Network Model for Large-Scale Performance Prediction. SIGSIM-PADS (2016)
Guillaume Chapuis, Stephan J. Eidenbenz, Nandakishore Santhi
GPU Performance Prediction Through Parallel Discrete Event Simulation and Common Sense. EAI Endorsed Trans. Ubiquitous Environ. 3 (10) (2016)
Qiang Guan, Nathan DeBardeleben, Panruo Wu, Stephan J. Eidenbenz, Sean Blanchard, Laura Monroe, Elisabeth Baseman, Li Tan
Design, Use and Evaluation of P-FSEFI: A Parallel Soft Error Fault Injection Framework for Emulating Soft Errors in Parallel Applications. SimuTools (2016)
Joan Boyar, Stephan J. Eidenbenz, Lene M. Favrholdt, Michal Kotrbcík, Kim S. Larsen
Online Dominating Set. CoRR (2016)
Kishwar Ahmed, Jason Liu, Stephan J. Eidenbenz, Joe Zerr
Scalable Interconnection Network Models for Rapid Performance Prediction of HPC Applications. HPCC/SmartCity/DSS (2016)
Joan Boyar, Stephan J. Eidenbenz, Lene M. Favrholdt, Michal Kotrbcík, Kim S. Larsen
Online Dominating Set. SWAT (2016)
Susan M. Mniszewski, Christoph Junghans, Arthur F. Voter, Danny Perez, Stephan J. Eidenbenz
TADSim: Discrete Event-Based Performance Prediction for Temperature-Accelerated Dynamics. ACM Trans. Model. Comput. Simul. 25 (3) (2015)
Nandakishore Santhi, Stephan J. Eidenbenz, Jason Liu
The simian concept: parallel discrete event simulation with interpreted languages and just-in-time compilation. WSC (2015)
Guillaume Chapuis, Stephan J. Eidenbenz, Nandakishore Santhi, Eunjung Park
Simian integrated framework for parallel discrete event simulation on GPUs. WSC (2015)
Eunjung Park, Stephan J. Eidenbenz, Nandakishore Santhi, Guillaume Chapuis, Bradley W. Settlemyer
Parameterized benchmarking of parallel discrete event simulation systems: communication, computation, and memory. WSC (2015)
Sunil Thulasidasan, Lukas Kroc, Stephan J. Eidenbenz
Developing parallel, discrete event simulations in Python - first results and user experiences with the SimX library. SIMULTECH (2014)
Benjamin H. Sims, Nikolai Sinitsyn, Stephan J. Eidenbenz
Hierarchical and Matrix Structures in a Large Organizational Email Network: Visualization and Modeling Approaches. CoRR (2014)
Guanhua Yan, Stephan J. Eidenbenz
Sim-Watchdog: Leveraging Temporal Similarity for Anomaly Detection in Dynamic Graphs. ICDCS (2014)
Sean Williams, Stephan J. Eidenbenz
Themis-1: an agent-based model of a modern monetary reserve system. SpringSim (ADS) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stephan J. Eidenbenz