@inproceedings{461da7193855463fb0802e886d8ebfa2,
title = "Performance models for split-execution computing systems",
abstract = "Split-execution computing leverages the capabilities of multiple computational models to solve problems, but splitting program execution across different computational models incurs costs associated with the translation between domains. We analyze the performance of a split-execution computing system developed from conventional and quantum processing units (QPUs) by using behavioral models that track resource usage. We focus on asymmetric processing models built using conventional CPUs and a family of special-purpose QPUs that employ quantum computing principles. Our performance models account for the translation of a classical optimization problem into the physical representation required by the quantum processor while also accounting for hardware limitations and conventional processor speed and memory. We conclude that the bottleneck in this split-execution computing system lies at the quantum-classical interface and that the primary time cost is independent of quantum processor behavior.",
keywords = "Coprocessors, Modeling and simulation, Quantum computing, Split-execution",
author = "Humble, {Travis S.} and McCaskey, {Alexander J.} and Jonathan Schrock and Hadayat Seddiqi and Britt, {Keith A.} and Neena Imam",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 30th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2016 ; Conference date: 23-05-2016 Through 27-05-2016",
year = "2016",
month = jul,
day = "18",
doi = "10.1109/IPDPSW.2016.113",
language = "English",
series = "Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "545--554",
booktitle = "Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016",
}