GNU parallel

GNU parallel is a shell tool for executing jobs in parallel using one or more computers. A job can be a single command or a small script that has to be run for each of the lines in the input. The typical input is a list of files, a list of hosts, a list of users, a list of URLs, or a list of tables. A job can also be a command that reads from a pipe. GNU parallel can then split the input and pipe it into commands in parallel.

References in zbMATH (referenced in 26 articles )

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  1. Conti, Diego; Ghigi, Alessandro; Pignatelli, Roberto: Some evidence for the Coleman-Oort conjecture (2022)
  2. Hannukainen, Antti; Malinen, Jarmo; Ojalammi, Antti: Distributed solution of Laplacian eigenvalue problems (2022)
  3. Hartzer, Jacob; Röhrig, Olivia; de Wolff, Timo; Yürük, Oğuzhan: Initial steps in the classification of maximal mediated sets (2022)
  4. Dandurand, Brian C.; Kim, Kibaek; Leyffer, Sven: A bilevel approach for identifying the worst contingencies for nonconvex alternating current power systems (2021)
  5. Ei, Shin-Ichiro; Mimura, Masayasu; Miyaji, Tomoyuki: Reflection of a self-propelling rigid disk from a boundary (2021)
  6. Grigoriev, Dima; Iosif, Alexandru; Rahkooy, Hamid; Sturm, Thomas; Weber, Andreas: Efficiently and effectively recognizing toricity of steady state varieties (2021)
  7. Křetínský, Jan; Meggendorfer, Tobias: Of cores: a partial-exploration framework for Markov decision processes (2020)
  8. Papadodimas, Kyriakos; Raju, Suvrat; Shrivastava, Pushkal: A simple quantum test for smooth horizons (2020)
  9. Sun, Rémy; Lampert, Christoph H.: KS(conf): a light-weight test if a multiclass classifier operates outside of its specifications (2020)
  10. Basin, David; Bhatt, Bhargav Nagaraja; Krstić, Srđan; Traytel, Dmitriy: Almost event-rate independent monitoring (2019)
  11. Bennett, Michael A.; Gherga, Adela; Rechnitzer, Andrew: Computing elliptic curves over (\mathbbQ) (2019)
  12. Cartis, Coralia; Roberts, Lindon: A derivative-free Gauss-Newton method (2019)
  13. Jančík, Pavel; Kofroň, Jan; Alt, Leonardo; Fedyukovich, Grigory; Hyvärinen, Antti E. J.; Sharygina, Natasha: Exploiting partial variable assignment in interpolation-based model checking (2019)
  14. Johnson, Benjamin L.; Porter, Aaron T.; King, Jeffrey C.; Newman, Alexandra M.: Optimally configuring a measurement system to detect diversions from a nuclear fuel cycle (2019)
  15. Spies, David; You, Jia-Huai; Hayward, Ryan: Domain-independent cost-optimal planning in ASP (2019)
  16. Ammon, Martin; Baggioli, Matteo; Jiménez-Alba, Amadeo; Moeckel, Sebastian: A smeared quantum phase transition in disordered holography (2018)
  17. Azarija, Jernej; Marc, Tilen: There is no (75,32,10,16) strongly regular graph (2018)
  18. Corcella, Gennaro; Franceschini, Roberto; Kim, Doojin: Fragmentation uncertainties in hadronic observables for top-quark mass measurements (2018)
  19. Gijbels, Irène; Herrmann, Klaus: Optimal expected-shortfall portfolio selection with copula-induced dependence (2018)
  20. Haji-Ali, Abdul-Lateef; Tempone, Raúl: Multilevel and multi-index Monte Carlo methods for the McKean-Vlasov equation (2018)

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