Accelerating massive ensembles of ordinary differential equations
astro-ph.IM, astro-ph.CO, physics.comp-ph
Submitted: 2026-09-28
Updated: 2026-09-28
Comments: 17 pages, 15 figures, 1 table. Comments are welcome!
Code: https://github.com/lawrenceberry/modax
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- TASI Lectures on Inflation
- PRyMordial: The First Three Minutes, Within and Beyond the Standard Model
- Neural Ordinary Differential Equations
- The shape of primordial non-Gaussianity and the CMB bispectrum
- General CMB and Primordial Bispectrum Estimation I: Mode Expansion, Map-Making and Measures of f_NL
- LINX: A Fast, Differentiable, and Extensible Big Bang Nucleosynthesis Package
- CMB power spectrum parameter degeneracies in the era of precision cosmology
- On Neural Differential Equations
- The Cosmic Linear Anisotropy Solving System (CLASS) I: Overview
- Efficient Computation of CMB anisotropies in closed FRW models
- PArthENoPE: Public Algorithm Evaluating the Nucleosynthesis of Primordial Elements
- Differentiable astrophysics at scale: solving and differentiating ODE ensembles on the GPU
- GRADSOLVE: fast exact gradients for ODE ensembles on GPUs
- Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms
- Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference
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