GADGET: a code for collisionless and gasdynamical cosmological simulations. We describe the newly written code GADGET which is suitable both for cosmological simulations of structure formation and for the simulation of interacting galaxies. GADGET evolves self-gravitating collisionless fluids with the traditional N-body approach, and a collisional gas by smoothed particle hydrodynamics. Along with the serial version of the code, we discuss a parallel version that has been designed to run on massively parallel supercomputers with distributed memory. While both versions use a tree algorithm to compute gravitational forces, the serial version of GADGET can optionally employ the special-purpose hardware GRAPE instead of the tree. Periodic boundary conditions are supported by means of an Ewald summation technique. The code uses individual and adaptive timesteps for all particles, and it combines this with a scheme for dynamic tree updates. Due to its Lagrangian nature, GADGET thus allows a very large dynamic range to be bridged, both in space and time. So far, GADGET has been successfully used to run simulations with up to 7.5×107 particles, including cosmological studies of large-scale structure formation, high-resolution simulations of the formation of clusters of galaxies, as well as workstation-sized problems of interacting galaxies. In this study, we detail the numerical algorithms employed, and show various tests of the code. We publicly release both the serial and the massively parallel version of the code.

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  1. Frontiere, Nicholas; Raskin, Cody D.; Owen, J.Michael: CRKSPH - A conservative reproducing kernel smoothed particle hydrodynamics scheme (2017)
  2. Barreira, Alexandre: Structure formation in modified gravity cosmologies (2016)
  3. Croker, K.A.S.: ngravs: distinct gravitational interactions in gadget-2 (2016)
  4. Kates-Harbeck, Julian; Totorica, Samuel; Zrake, Jonathan; Abel, Tom: Simplex-in-cell technique for collisionless plasma simulations (2016)
  5. Malhotra, Dhairya; Biros, George: Algorithm 967: a distributed-memory fast multipole method for volume potentials (2016)
  6. Sousbie, Thierry; Colombi, Stéphane: ColDICE: A parallel Vlasov-Poisson solver using moving adaptive simplicial tessellation (2016)
  7. Crespo, A.J.C.; Domínguez, J.M.; Rogers, B.D.; Gómez-Gesteira, M.; Longshaw, S.; Canelas, R.; Vacondio, R.; Barreiro, A.; García-Feal, O.: DualSPHysics: Open-source parallel CFD solver based on smoothed particle hydrodynamics (SPH) (2015)
  8. Gonnet, Pedro: Efficient and scalable algorithms for smoothed particle hydrodynamics on hybrid shared/distributed-memory architectures (2015)
  9. Powell, Devon; Abel, Tom: An exact general remeshing scheme applied to physically conservative voxelization (2015)
  10. Snedden, Ali; Phillips, Lara Arielle; Mathews, Grant J.; Coughlin, Jared; Suh, In-Saeng; Bhattacharya, Aparna: A new multi-scale structure finding algorithm to identify cosmological structure (2015)
  11. Didelot, Sylvain; Carribault, Patrick; Pérache, Marc; Jalby, William: Improving MPI communication overlap with collaborative polling (2014) ioport
  12. Puri, Kunal; Ramachandran, Prabhu: A comparison of SPH schemes for the compressible Euler equations (2014)
  13. Tian, Rong: Simulation at extreme-scale: co-design thinking and practices (2014) ioport
  14. Amritkar, Amit; Tafti, Danesh; Liu, Rui; Kufrin, Rick; Chapman, Barbara: OpenMP parallelism for fluid and fluid-particulate systems (2012) ioport
  15. Bédorf, Jeroen; Gaburov, Evghenii; Zwart, Simon Portegies: A sparse octree gravitational $N$-body code that runs entirely on the GPU processor (2012)
  16. Price, Daniel J.: Smoothed particle hydrodynamics and magnetohydrodynamics (2012)
  17. Di G.Sigalotti, Leonardo; López, Hender; Trujillo, Leonardo: An adaptive SPH method for strong shocks (2009)
  18. Reynolds, Daniel R.; Hayes, John C.; Paschos, Pascal; Norman, Michael L.: Self-consistent solution of cosmological radiation-hydrodynamics and chemical ionization (2009)
  19. Spurzem, R.; Berczik, P.; Marcus, G.; Kugel, A.; Lienhart, G.; Berentzen, I.; Männer, R.; Klessen, R.; Banerjee, R.: Accelerating astrophysical particle simulations with programmable hardware (FPGA and GPU) (2009) ioport
  20. Vanaverbeke, S.; Keppens, R.; Poedts, S.; Boffin, H.: GRADSPH: A parallel smoothed particle hydrodynamics code for self-gravitating astrophysical fluid dynamics (2009)

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