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Quantum ESPRESSO toward the exascale

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arxiv 2104.10502 v2 pith:7PCVGZUU submitted 2021-04-21 physics.comp-ph

classification physics.comp-ph
keywords espressoquantumarchitecturesexascalehardwareacceleratorsapplicationsbreadth
verification ladder T0 review T1 audit T2 compute T3 formal

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Quantum ESPRESSO is an open-source distribution of computer codes for quantum-mechanical materials modeling, based on density-functional theory, pseudopotentials, and plane waves, and renowned for its performance on a wide range of hardware architectures, from laptops to massively parallel computers, as well as for the breadth of its applications. In this paper we present a motivation and brief review of the ongoing effort to port Quantum ESPRESSO onto heterogeneous architectures based on hardware accelerators, which will overcome the energy constraints that are currently hindering the way towards exascale computing.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Ab initio theory of the non-resonant Raman effect in crystals at finite temperature in comparison to experiment: The examples of GaN and BaZrS3

    cond-mat.mtrl-sci 2024-12 conditional novelty 6.0 of 10

    A finite-wavevector, polarization-resolved first-principles Raman theory combined with temperature-dependent phonons reproduces measured Raman spectra of GaN and BaZrS3.

  2. A DFT and Machine Learning-Assisted Study on the Lattice Thermal Conductivity of LiCdSb for Thermoelectric Applications

    cond-mat.mtrl-sci 2026-07 reject novelty 4.0 of 10

    Machine-learned interatomic potentials and HSE06 DFT predict ultra-low lattice thermal conductivity and ZT above 1 over 600 K for half-Heusler LiCdSb.

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