The Cactus framework and toolkit: Design and applications. We describe Cactus, a framework for building a variety of computing applications in science and engineering, including astrophysics, relativity and chemical engineering. We first motivate by example the need for such frameworks to support multi-platform, high performance applications across diverse communities. We then describe the design of the latest release of Cactus (Version 4.0) a complete rewrite of earlier versions, which enables highly modular, multi-language, parallel applications to be developed by single researchers and large collaborations alike. Making extensive use of abstractions, we detail how we are able to provide the latest advances in computational science, such as interchangeable parallel data distribution and high performance IO layers, while hiding most details of the underlying computational libraries from the application developer. We survey how Cactus 4.0 is being used by various application communities, and describe how it will also enable these applications to run on the computational Grids of the near future.

References in zbMATH (referenced in 81 articles , 1 standard article )

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  1. Gabriele Bozzola: kuibit: Analyzing Einstein Toolkit simulations with Python (2021) arXiv
  2. Offermans, N.; Peplinski, A.; Marin, O.; Schlatter, P.: Adaptive mesh refinement for steady flows in Nek5000 (2020)
  3. Fernando, Milinda; Neilsen, David; Lim, Hyun; Hirschmann, Eric; Sundar, Hari: Massively parallel simulations of binary black hole intermediate-mass-ratio inspirals (2019)
  4. Cook, William G.; Wang, Diandian; Sperhake, Ulrich: Orbiting black-hole binaries and apparent horizons in higher dimensions (2018)
  5. Glaser, Lisa; O’Connor, Denjoe; Surya, Sumati: Finite size scaling in 2d causal set quantum gravity (2018)
  6. Khirnov, Anton; Ledvinka, Tomáš: Slicing conditions for axisymmetric gravitational collapse of Brill waves (2018)
  7. Schornbaum, Florian; Rüde, Ulrich: Extreme-scale block-structured adaptive mesh refinement (2018)
  8. A. Arbona, B. Minano, A. Rigo, C. Bona, C. Palenzuela, A. Artigues, C. Bona-Casas, J. Masso: Simflowny 2: An upgraded platform for scientific modeling and simulation (2017) arXiv
  9. Ahmed, S. Nomaan; Dowker, Fay; Surya, Sumati: Scalar field Green functions on causal sets (2017)
  10. Benkel, Robert; Sotiriou, Thomas P.; Witek, Helvi: Black hole hair formation in shift-symmetric generalised scalar-tensor gravity (2017)
  11. Bentivegna, Eloisa; Korzyński, Mikołaj; Hinder, Ian; Gerlicher, Daniel: Light propagation through black-hole lattices (2017)
  12. Cook, William G.; Sperhake, Ulrich: Extraction of gravitational-wave energy in higher dimensional numerical relativity using the Weyl tensor (2017)
  13. Healy, James; Lousto, Carlos O.; Nakano, Hiroyuki; Zlochower, Yosef: Post-Newtonian quasicircular initial orbits for numerical relativity (2017)
  14. Miller, Jonah M.; Schnetter, Erik: An operator-based local discontinuous Galerkin method compatible with the BSSN formulation of the Einstein equations (2017)
  15. Anshu Dubey, Ann Almgren, John Bell, Martin Berzins, Steve Brandt, Greg Bryan, Phillip Colella, Daniel Graves, Michael Lijewski, Frank Loffler, Brian O’Shea, Erik Schnetter, Brian Van Straalen, Klaus Weide: A Survey of High Level Frameworks in Block-Structured Adaptive Mesh Refinement Packages (2016) arXiv
  16. Berzins, Martin; Beckvermit, Jacqueline; Harman, Todd; Bezdjian, Andrew; Humphrey, Alan; Meng, Qingyu; Schmidt, John; Wight, Charles: Extending the Uintah framework through the petascale modeling of detonation in arrays of high explosive devices (2016)
  17. Bishop, Nigel T.; Rezzolla, Luciano: Extraction of gravitational waves in numerical relativity (2016)
  18. Cook, William G.; Figueras, Pau; Kunesch, Markus; Sperhake, Ulrich; Tunyasuvunakool, Saran: Dimensional reduction in numerical relativity: modified Cartoon formalism and regularization (2016)
  19. Glaser, Lisa; Surya, Sumati: The Hartle-Hawking wave function in 2D causal set quantum gravity (2016)
  20. Hatori, Tomoharu; Ito, Atsushi M.; Nunami, Masanori; Usui, Hideyuki; Miura, Hideaki: Level-by-level artificial viscosity and visualization for MHD simulation with adaptive mesh refinement (2016)

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