Work

OpenGadget3 GPU solver tests

Year: 2026

Type: article

Source: Astronomy and Computing

DOI: 10.1016/j.ascom.2026.101131

Authors: A. Ragagnin, G.S. Karademir, F. Groth, K. Dolag, L.M. Böss, T. Castro, N. Hariharan, M. Aiello, L. Tornatore

Institutions: Trieste Astronomical Observatory, Ludwig-Maximilians-Universität München, Max Planck Institute for Astrophysics, University of Chicago, Istituto Nazionale di Fisica Nucleare, Sezione di Trieste, Institute for Fundamental Physics of the Universe, Fondazione ICSC Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Intel (India), University of Bologna

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European High Performance Computing Joint Undertaking, Intel Corporation, European Commission, Friedrich-Alexander-Universität Erlangen-Nürnberg, Deutsche Forschungsgemeinschaft, Horizon 2020 Framework Programme, European Research Council, Consejería de Salud y Consumo, Junta de Andalucía

Awards: Scalable Parallel and distributed Astrophysical Codes for Exascale, G1897041155, G2341604611, G2961278921, G3533148983, G4066435496, EXC 2094: ORIGINS: Vom Ursprung des Universums bis zu den ersten Bausteinen des Lebens, G532158254, G6321891214, G6690480278, G7022227938, G8026379768

OpenAlex ID: W7163674330

FWCI:

Cites: 48

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