Quantum ESPRESSO: Structured Data

We present in this page the structured representations for the Quantum ESPRESSO modeling application, and for its specific compute parameters.

Application

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{
    "schemaId": "software-directory/modeling/espresso",
    "$schema": "http://json-schema.org/draft-04/schema#",
    "title": "espresso app schema",
    "type": "object",
    "properties": {
        "name": {
            "enum": [
                "espresso"
            ]
        },
        "summary": {
            "enum": [
                "Quantum Espresso"
            ]
        },
        "version": {
            "enum": [
                "5.1.1",
                "5.2.1",
                "5.4.0",
                "6.0.0"
            ]
        }
    }
}

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{
    "name": "espresso",
    "shortName": "qe",
    "summary": "Quantum Espresso",
    "version": "5.1.1"
}

Compute Parameters

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{
    "schemaId": "software-directory/modeling/espresso/arguments",
    "$schema": "http://json-schema.org/draft-04/schema#",
    "title": "quantum espresso arguments schema",
    "type": "object",
    "properties": {
        "nimage": {
            "description": "Processors can be divided into different `images`, each corresponding to a different self-consistent or linear-response calculation, loosely coupled to others.",
            "type": "integer",
            "default": 1,
            "minimum": 1,
            "maximum": 100
        },
        "npools": {
            "description": "Each image can be subpartitioned into `pools`, each taking care of a group of k-points.",
            "type": "integer",
            "default": 1,
            "minimum": 1,
            "maximum": 100
        },
        "nband": {
            "description": "Each pool is subpartitioned into `band groups`, each taking care of a group of Kohn-Sham orbitals (also called bands, or wavefunctions).",
            "type": "integer",
            "default": 1,
            "minimum": 1,
            "maximum": 100
        },
        "ntg": {
            "description": "In order to allow good parallelization of the 3D FFT when the number of processors exceeds the number of FFT planes, FFTs on Kohn-Sham states are redistributed to `task` groups so that each group can process several wavefunctions at the same time.",
            "type": "integer",
            "default": 1,
            "minimum": 1,
            "maximum": 100
        },
        "ndiag": {
            "description": "A further level of parallelization, independent on PW or k-point parallelization, is the parallelization of subspace diagonalization / iterative orthonormalization. Both operations required the diagonalization of arrays whose dimension is the number of Kohn-Sham states (or a small multiple of it). All such arrays are distributed block-like across the `linear-algebra group`, a subgroup of the pool of processors, organized in a square 2D grid. As a consequence the number of processors in the linear-algebra group is given by n2, where n is an integer; n2 must be smaller than the number of processors in the PW group. The diagonalization is then performed in parallel using standard linear algebra operations.",
            "type": "integer",
            "default": 1,
            "minimum": 1,
            "maximum": 100
        }
    },
    "additionalProperties": false
}

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{
    "nband": 1,
    "npools": 1,
    "ntg": 1
}