Using HYB Sparse Matrix Storage Format for Solving Linear Systems Obtained by FEM Discretization on GPU

Kondratyev, Nikolay V.; Persova, Marina G.; Soloveichik, Yuri G.; Kiselev, Dmitry S.

doi:10.1109/apeie.2018.8546266

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2023

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“…Many libraries are available, such as [21,[29][30][31][32][33][34]. Some libraries are so specialized that they handle only a single aspect of linear algebra, as seen in [35][36][37][38][39][40][41]. Each of these libraries offers different implementations.…”

Section: Inner Corementioning

confidence: 99%

Hiperwalk: Simulation of Quantum Walks with Heterogeneous High-Performance Computing

Motta,

Bezerra,

Santos

et al. 2023

2023 IEEE International Conference on Quantum Computing and Engineering (QCE)

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The Hiperwalk package is designed to facilitate the simulation of quantum walks using heterogeneous high-performance computing, taking advantage of the parallel processing power of diverse processors such as CPUs, GPUs, and acceleration cards. This package enables the simulation of both the continuous-time and discrete-time quantum walk models, effectively modeling the behavior of quantum systems on large graphs. Hiperwalk features a user-friendly Python package frontend with comprehensive documentation, as well as a high-performance C-based inner core that leverages parallel computing for efficient linear algebra calculations. This versatile tool empowers researchers to better understand quantum walk behavior, optimize implementation, and explore a wide range of potential applications, including spatial search algorithms.

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