Erik Schnetter

Erik Schnetter profile picture
Research Technologies Group Lead
Perimeter Institute for Theoretical Physics
Technology Services
Areas of research:
Strong Gravity
(519) 569-7600 x7032
http://www.perimeterinstitute.ca/personal/eschnetter/
I am a staff scientist at the Perimeter Institute for Theoretical Physics in Waterloo, Canada, where I lead the Research Technologies Group.

My research interests lie in computational science, in using computers as tools to solve scientific problems. This requires not only correctly and efficiently implementing physics models, but also requires tools to build complete applications around these models – such as:

  • Tools for communicating and collaborating, in particular for small, informal collaborations, including tools for software development,
  • Efficient computational infrastructure, supporting hardware ranging from laptops to large high-performance computing (HPC) installations, that allow people to easily build and publish their own applications,
  • Reducing the steep learning curve for high-performance computing, by making HPC calculations more transparent and more interactive.
  • Adjunct Faculty, Department of Physics & Astronomy, University of Waterloo, 2018-present
  • Adjunct Faculty, Department of Physics, University of Guelph, 2011-2018
  • Adjunct Faculty, Center for Computation & Technology, Louisiana State University, 2010-present
  • Postdoctoral Scholar, Max Planck Institute for Gravitational Physics, 2003-2005
  • Second IEEE International Scalable Computing Challenge, 1st place, SCALE, 2009
  • Dailey, C., Schnetter, E., & Afshordi, N. (2025). Formulating the complete initial boundary value problem in numerical relativity to model black hole echoes. Classical and Quantum Gravity, 42(2), 025002. doi:10.1088/1361-6382/ad9701
  • Kalinani, J. V., Ji, L., Ennoggi, L., Armengol, F. G. L., Sanches, L. T., Tsao, B. -J., . . . Zlochower, Y. (2025). AsterX: a new open-source GPU-accelerated GRMHD code for dynamical spacetimes. Classical and Quantum Gravity, 42(2), 025016. doi:10.1088/1361-6382/ad9c11
  • Dailey, C., Schnetter, E., & Afshordi, N. (2024). Formulating the complete initial boundary value problem in numerical relativity to model black hole echoes. doi:10.48550/arxiv.2409.17970
  • Kalinani, J. V., Ji, L., Ennoggi, L., Armengol, F. G. L., Sanches, L. T., Tsao, B. -J., . . . Zlochower, Y. (2024). AsterX: a new open-source GPU-accelerated GRMHD code for dynamical spacetimes. doi:10.48550/arxiv.2406.11669
  • Curtis, S., Bosch, P., Mösta, P., Radice, D., Bernuzzi, S., Perego, A., . . . Schnetter, E. (2024). Magnetized Outflows from Short-lived Neutron Star Merger Remnants Can Produce a Blue Kilonova. The Astrophysical Journal Letters, 961(1), l26. doi:10.3847/2041-8213/ad0fe1
  • Khera, N., Metidieri, A. R., Bonga, B., Forteza, X. J., Krishnan, B., Poisson, E., . . . Yang, H. (2023). Nonlinear Ringdown at the Black Hole Horizon. Physical Review Letters, 131(23), 231401. doi:10.1103/physrevlett.131.231401
  • Shankar, S., Mösta, P., Brandt, S. R., Haas, R., Schnetter, E., & de Graaf, Y. (2023). GRaM-X: a new GPU-accelerated dynamical spacetime GRMHD code for Exascale computing with the Einstein Toolkit. Classical and Quantum Gravity, 40(20), 205009. doi:10.1088/1361-6382/acf2d9
  • Dailey, C., Afshordi, N., & Schnetter, E. (2023). Reflecting boundary conditions in numerical relativity as a model for black hole echoes. Classical and Quantum Gravity, 40(19), 195007. doi:10.1088/1361-6382/acde2f
  • Hammond, J., Dalcin, L., Schnetter, E., PéRache, M., Besnard, J. -B., Brown, J., . . . Zhou, H. (2023). MPI Application Binary Interface Standardization. In Proceedings of the 30th European MPI Users' Group Meeting (pp. 1-12). Association for Computing Machinery (ACM). doi:10.1145/3615318.3615319
  • Curtis, S., Bosch, P., Mösta, P., Radice, D., Bernuzzi, S., Perego, A., . . . Schnetter, E. (2023). Outflows from Short-Lived Neutron-Star Merger Remnants Can Produce a Blue Kilonova. doi:10.48550/arxiv.2305.07738
  • Schnetter, E. (2022). The Einstein Toolkit (Version ET_2022_11) [Computer Software]. doi:10.5281/zenodo.7245853
  • Churavy, V., Godoy, W. F., Bauer, C., Ranocha, H., Schlottke-Lakemper, M., Räss, L., . . . Edelman, A. (2022). Bridging HPC Communities through the Julia Programming Language. doi:10.48550/arxiv.2211.02740
  • Shankar, S., Mösta, P., Brandt, S. R., Haas, R., Schnetter, E., & de Graaf, Y. (2022). GRaM-X: A new GPU-accelerated dynamical spacetime GRMHD code for Exascale computing with the Einstein Toolkit. doi:10.48550/arxiv.2210.17509
  • Peters, J. M., Coley, A., & Schnetter, E. (2022). Curvature invariants in a binary black hole merger. General Relativity and Gravitation, 54(7), 65. doi:10.1007/s10714-022-02944-1
  • Lecture - Numerical Methods, PHYS 777, Numerical Methods (Core), PHYS 777-, January 6 - February 5, 2025, 2025/01/17, PIRSA:25010058
  • Lecture - Numerical Methods, PHYS 777, Numerical Methods (Core), PHYS 777-, January 6 - February 5, 2025, 2025/01/16, PIRSA:25010057
  • Lecture - Numerical Methods, PHYS 777, Numerical Methods (Core), PHYS 777-, January 6 - February 5, 2025, 2025/01/14, PIRSA:25010056
  • Lecture - Numerical Methods, PHYS 777, Numerical Methods (Core), PHYS 777-, January 6 - February 5, 2025, 2025/01/09, PIRSA:25010055
  • Lecture - Numerical Methods, PHYS 777, Numerical Methods (Core), PHYS 777-, January 6 - February 5, 2025, 2025/01/07, PIRSA:25010054
  • Lecture - Numerical Methods, PHYS 777, Numerical Methods (Core), PHYS 777-, January 6 - February 5, 2025, 2025/01/06, PIRSA:25010053
  • Numerical Methods Lecture, Numerical Methods 2023/24, 2024/01/29, PIRSA:24010018
  • Numerical Methods Lecture, Numerical Methods 2023/24, 2024/01/22, PIRSA:24010017
  • Numerical Methods Lecture, Numerical Methods 2023/24, 2024/01/15, PIRSA:24010016
  • Numerical Methods Lecture, Numerical Methods 2023/24, 2024/01/08, PIRSA:24010015
  • Numerical Methods Lecture - 230207, Numerical Methods (2022/2023), 2023/02/07, PIRSA:23020001
  • Numerical Methods Lecture - 230202, Numerical Methods (2022/2023), 2023/02/02, PIRSA:23020000
  • Numerical Methods Lecture - 230201, Numerical Methods (2022/2023), 2023/02/01, PIRSA:23020003
  • Numerical Methods Lecture - 230131, Numerical Methods (2022/2023), 2023/01/31, PIRSA:23010008
  • Numerical Methods Lecture - 230126, Numerical Methods (2022/2023), 2023/01/26, PIRSA:23010007
  • Numerical Methods Lecture - 230124, Numerical Methods (2022/2023), 2023/01/24, PIRSA:23010006
  • Numerical Methods Lecture - 230120, Numerical Methods (2022/2023), 2023/01/20, PIRSA:23010011
  • Numerical Methods Lecture - 230119, Numerical Methods (2022/2023), 2023/01/19, PIRSA:23010005
  • Numerical Methods Lecture - 230117, Numerical Methods (2022/2023), 2023/01/17, PIRSA:23010004
  • Numerical Methods Lecture - 230112, Numerical Methods (2022/2023), 2023/01/12, PIRSA:23010003
  • Numerical Methods Lecture - 230111, Numerical Methods (2022/2023), 2023/01/11, PIRSA:23010009
  • Numerical Methods Lecture - 230110, Numerical Methods (2022/2023), 2023/01/10, PIRSA:23010002