Surrogate modeling and optimization for scientific machine learning (SciML)
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Automatic Finite Difference PDE solving with Julia SciML
Side-channel toolkit in Julia
Readily pin Julia threads to CPU-threads
Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
Inference of microbial interaction networks from large-scale heterogeneous abundance data
Fast Fourier transforms of MPI-distributed Julia arrays
Automatic optimization and parallelization for Scientific Machine Learning (SciML)
Distributed Julia arrays using the MPI protocol
CUDA acceleration for Trixi.jl
NODAL is an Open Distributed Autotuning Library in Julia
Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler
Measuring memory bandwidth using TheBandwidthBenchmark
Fast and easy parallel mapreduce on HPC clusters
An array type for MPI halo data exchange in Julia
Bayesian Information Gap Decision Theory
Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)
COnstraint Based Reconstruction and EXascale Analysis (in Julia)
Platform-aware programming in Julia
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