Abstract
In this article, we present an overview of our on-going project entitled, R&D of a Quantum-Annealing Assisted Next Generation HPC Infrastructure and its Applications. We describes our system design concept of a new computing infrastructure toward the Post-Moore era by the integration of classical HPC engines and a quantum-annealing engine as a single system image and a realization of the ensemble of domain specific architectures. We also present the performance evaluation of SX-Aurora TSUBASA, which is the central system of this infrastructure, by using world well-known benchmark kernels. Here we discuss its sustained performance, power-efficiency, and scalability of vector engines of SX-Aurora TSUBASA by using HPL, Himeno and HPCG benchmarks. Moreover, As an example of the quantum annealing assisted application design, we present how a quantum annealing data processing mechanism is introduced into a large scale data-clustering.
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Acknowledgements
Many colleagues get involved in this project, and great thanks go to faculty members of the Tohoku-NEC Joint Lab. at Cyberscience Center of Tohoku University. This project is supported by the MEXT Next Generation High-Performance Computing Infrastructures and Applications R&D Program.
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Kobayashi, H., Komatsu, K. (2021). Performance Evaluation of SX-Aurora TSUBASA and Its QA-Assisted Application Design. In: Resch, M.M., Wossough, M., Bez, W., Focht, E., Kobayashi, H. (eds) Sustained Simulation Performance 2019 and 2020. Springer, Cham. https://doi.org/10.1007/978-3-030-68049-7_1
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