omlins / julia-gpu-course-2023Links
GPU Programming with Julia 2023 - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
☆107Updated last year
Alternatives and similar repositories for julia-gpu-course-2023
Users that are interested in julia-gpu-course-2023 are comparing it to the libraries listed below
Sorting:
- A Julia package for producing publication quality figures based on Makie.jl.☆114Updated 9 months ago
- Repository for B0M36SPJ☆85Updated 5 months ago
- Fast derivative evaluation☆123Updated 2 months ago
- Julia for HPC Course @ UCL ARC☆88Updated last year
- A collection of B-spline tools in Julia☆59Updated last month
- Blog posts on best practices for Julia development☆219Updated last week
- DocumenterCitations.jl uses Bibliography.jl to add support for BibTeX citations and references in documentation pages generated by Docume…☆79Updated last week
- High level functions for analyzing the output of simulations☆82Updated 4 months ago
- Easily benchmark a Julia package over its commit history☆120Updated last week
- Cross-architecture parallel algorithms for Julia's CPU and GPU backends. Targets multithreaded CPUs, and GPUs via Intel oneAPI, AMD ROCm,…☆126Updated last week
- A style guide for stylish Julia developers☆223Updated 6 months ago
- Template for Julia Programming Language packages using the copier engine.☆70Updated this week
- A collection of examples and explanations about Julia☆166Updated 4 months ago
- Taylor-mode automatic differentiation for higher-order derivatives☆79Updated 2 months ago
- Efficient and type-stable physical quantities in Julia☆146Updated last week
- The dispatch doctor prescribes type stability☆190Updated 4 months ago
- AllocCheck☆237Updated 2 months ago
- Basic numerical integration routines for presampled data.☆63Updated this week
- fast multidimensional Chebyshev interpolation and regression in Julia☆71Updated 4 months ago
- pure-Julia multidimensional h-adaptive integration☆160Updated 5 months ago
- This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solver…☆119Updated 2 weeks ago
- Find peaks (local extrema) of signals☆78Updated this week
- Automatic differentiation of implicit functions☆131Updated 3 weeks ago
- SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals☆127Updated 6 months ago
- Automatic optimization and parallelization for Scientific Machine Learning (SciML)☆77Updated 3 years ago
- JuliaCon 2021 Hackathon☆47Updated last month
- Implementation of a robust, performant language-level autograd compiler for Julia☆220Updated last week
- Simple multithreading in julia☆169Updated last month
- Boundary value problem (BVP) solvers for scientific machine learning (SciML)☆50Updated this week
- Conventional object-oriented programming in Julia without breaking Julia's core design ideas☆98Updated last year