dkarrasch
Currently, I am establishing myself as a facilitator for Self-directed Education in the Munich area, and as a blogger for education-related topics.
Technische Universität MünchenMunich, Bavaria, Germany
Pinned Repositories
AeroAcoustics.jl
A julia package for Aeroacoustics
AMDGPU.jl
AMD GPU (ROCm) programming in Julia
CUDA.jl
CUDA programming in Julia.
Distances.jl
A Julia package for evaluating distances (metrics) between vectors.
FluxDoRe2D
Flux Integration by Donating Regions in 2D
GenericLinearAlgebra.jl
Generic numerical linear algebra in Julia
GPUArrays.jl
Reusable array functionality for Julia's various GPU backends.
JOLI.jl
Julia Operators LIbrary
KLU.jl
Julia Wrapper for the KLU sparse matrix solver
LazyArrays.jl
Lazy arrays and linear algebra in Julia
dkarrasch's Repositories
dkarrasch/AeroAcoustics.jl
A julia package for Aeroacoustics
dkarrasch/AMDGPU.jl
AMD GPU (ROCm) programming in Julia
dkarrasch/CUDA.jl
CUDA programming in Julia.
dkarrasch/Distances.jl
A Julia package for evaluating distances (metrics) between vectors.
dkarrasch/FluxDoRe2D
Flux Integration by Donating Regions in 2D
dkarrasch/GenericLinearAlgebra.jl
Generic numerical linear algebra in Julia
dkarrasch/GPUArrays.jl
Reusable array functionality for Julia's various GPU backends.
dkarrasch/JOLI.jl
Julia Operators LIbrary
dkarrasch/KLU.jl
Julia Wrapper for the KLU sparse matrix solver
dkarrasch/LazyArrays.jl
Lazy arrays and linear algebra in Julia
dkarrasch/Metal.jl
Metal programming in Julia
dkarrasch/project_matrix_decomposition
small project to implement basic matrix decompositions
dkarrasch/oneAPI.jl
Julia support for the oneAPI programming toolkit.
dkarrasch/SparseMatricesCSR.jl
Sparse matrices in CSR format for Julia computations
dkarrasch/SpatialGraphs.jl
Types and constructors for spatially referenced graphs.
dkarrasch/StaticArrays.jl
Statically sized arrays for Julia
dkarrasch/SuiteSparseGraphBLAS.jl
Sparse, General Linear Algebra for Graphs!
dkarrasch/SuperLU.jl
dkarrasch/UpdatableQRFactorizations.jl
Contains implementations of efficient representations of and updating algorithms for QR factorizations.