Articles with public access mandates - Stephan EidenbenzLearn more
Not available anywhere: 4
Fast, accurate, and scalable memory modeling of GPGPUs using reuse profiles
Y Arafa, AH Badawy, G Chennupati, A Barai, N Santhi, S Eidenbenz
Proceedings of the 34th ACM International Conference on Supercomputing, 1-12, 2020
Mandates: US Department of Energy
Hybrid, scalable, trace-driven performance modeling of GPGPUs
Y Arafa, AH Badawy, A ElWazir, A Barai, A Eker, G Chennupati, N Santhi, ...
Proceedings of the International Conference for High Performance Computing …, 2021
Mandates: US Department of Energy
Optimal placement of ad-hoc devices under a vcg-style routing protocol
L Anderegg, S Eidenbenz, L Peeters, P Widmayer
Algorithmic Aspects of Wireless Sensor Networks: Third International …, 2008
Mandates: Swiss National Science Foundation
Optimal Placement of Ad Hoc Devices Under a VCG-Style Routing Protocol
P Widmayer, L Anderegg, S Eidenbenz, L Peeters
Theoretical Aspects of Distributed Computing in Sensor Networks, 85-107, 2011
Mandates: Swiss National Science Foundation
Available somewhere: 50
Deterministic preparation of Dicke states
A Bärtschi, S Eidenbenz
International Symposium on Fundamentals of Computation Theory, 126-139, 2019
Mandates: US Department of Energy
Grover mixers for QAOA: Shifting complexity from mixer design to state preparation
A Bärtschi, S Eidenbenz
2020 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2020
Mandates: US Department of Energy
Embedding algorithms for quantum annealers with chimera and pegasus connection topologies
S Zbinden, A Bärtschi, H Djidjev, S Eidenbenz
International Conference on High Performance Computing, 187-206, 2020
Mandates: US Department of Energy
The quantum alternating operator ansatz on maximum k-vertex cover
J Cook, S Eidenbenz, A Bärtschi
2020 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2020
Mandates: US Department of Energy
Quantum volume in practice: What users can expect from nisq devices
E Pelofske, A Bärtschi, S Eidenbenz
IEEE Transactions on Quantum Engineering 3, 1-19, 2022
Mandates: US Department of Energy
Quantum annealing vs. QAOA: 127 qubit higher-order ising problems on NISQ computers
E Pelofske, A Bärtschi, S Eidenbenz
International Conference on High Performance Computing, 240-258, 2023
Mandates: US Department of Energy
Ppt-gpu: Scalable gpu performance modeling
Y Arafa, AHA Badawy, G Chennupati, N Santhi, S Eidenbenz
IEEE Computer Architecture Letters 18 (1), 55-58, 2019
Mandates: US Department of Energy
Low overhead instruction latency characterization for nvidia gpgpus
Y Arafa, AHA Badawy, G Chennupati, N Santhi, S Eidenbenz
2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2019
Mandates: US Department of Energy
Short-depth circuits for Dicke state preparation
A Bärtschi, S Eidenbenz
2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022
Mandates: US Department of Energy
A divide-and-conquer approach to Dicke state preparation
S Aktar, A Bärtschi, AHA Badawy, S Eidenbenz
IEEE Transactions on Quantum Engineering 3, 1-16, 2022
Mandates: US Department of Energy
Threshold-based quantum optimization
J Golden, A Bärtschi, D O’Malley, S Eidenbenz
2021 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2021
Mandates: US Department of Energy
An integrated interconnection network model for large-scale performance prediction
K Ahmed, M Obaida, J Liu, S Eidenbenz, N Santhi, G Chapuis
Proceedings of the 2016 ACM SIGSIM Conference on Principles of Advanced …, 2016
Mandates: US Department of Energy
Online dominating set
J Boyar, SJ Eidenbenz, LM Favrholdt, M Kotrbčík, KS Larsen
Algorithmica 81, 1938-1964, 2019
Mandates: Danish Council for Independent Research, Villum Foundation
Sampling on nisq devices:" who’s the fairest one of all?"
E Pelofske, J Golden, A Bärtschi, D O’Malley, S Eidenbenz
2021 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2021
Mandates: US Department of Energy
Parallel application performance prediction using analysis based models and HPC simulations
MA Obaida, J Liu, G Chennupati, N Santhi, S Eidenbenz
Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced …, 2018
Mandates: US National Science Foundation
Code characterization with graph convolutions and capsule networks
P Haridas, G Chennupati, N Santhi, P Romero, S Eidenbenz
IEEE Access 8, 136307-136315, 2020
Mandates: US Department of Energy
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