omlins / julia-gpu-courseLinks
GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
☆259Updated 3 years ago
Alternatives and similar repositories for julia-gpu-course
Users that are interested in julia-gpu-course are comparing it to the libraries listed below
Sorting:
- Material for the 2021 GPU workshop at JuliaCon☆183Updated 2 years ago
- A style guide for stylish Julia developers☆232Updated last month
- Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid☆192Updated last month
- GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem☆313Updated 3 weeks ago
- Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs☆380Updated last week
- Automatic Finite Difference PDE solving with Julia SciML☆197Updated last month
- GPU Programming with Julia 2023 - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆108Updated 6 months ago
- Optimize Julia Functions With MLIR and XLA for High-Performance Execution on CPU, GPU, TPU and more.☆293Updated this week
- Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support☆284Updated last month
- High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)☆315Updated 4 months ago
- Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop☆94Updated 2 years ago
- Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.☆182Updated last month
- Start solving PDEs in Julia with Gridap.jl☆140Updated last month
- This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solver…☆122Updated 2 weeks ago
- Intel MKL linear algebra backend for Julia☆231Updated 2 months ago
- Julia package for orthogonal polynomial transforms☆280Updated last month
- Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains☆214Updated 3 months ago
- Fast and automatic structural identifiability software for ODE systems☆126Updated last week
- A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language☆106Updated last month
- An interface to various automatic differentiation backends in Julia.☆297Updated last week
- Fast jacobian computation through sparsity exploitation and matrix coloring☆252Updated 5 months ago
- LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, a…☆278Updated last week
- A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.☆124Updated last month
- A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, …☆379Updated last week
- Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem☆313Updated last week
- Linear operators for discretizations of differential equations and scientific machine learning (SciML)☆285Updated 2 years ago
- A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudospectral, continuous Galerkin, and discont…☆110Updated this week
- Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with dif…☆148Updated this week
- A common interface for quadrature and numerical integration for the SciML scientific machine learning organization☆242Updated last week
- A collection of examples and explanations about Julia☆176Updated last year