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QNumerics 2026 1-3 — Julia Performance: Array Interfaces, Packages & Type Stability
Sparse Matrix Decomposition and Completion with Chordal.jl | Theo Diamandis | JuliaCon2021
Generic Sparse Data Structures on GPUs | Sungwoo Jeong & Ranjan Anantharaman | JuliaCon 2019
HPC Sparse Linear Algebra in Julia with... | F Verdugo, AF Martin Huertas | JuliaCon 2022
JuliaCon 2016 | Iterative Methods for Sparse Linear Systems in Julia | Lars Ruthotto
Array Data Distribution With ArrayChannels.jl | Rohan McLure | JuliaCon 2019
GraphBLAS and Sparse Computation on GPUs: Limits and Progress | Buttier | JuliaCon Global 2025
Keynote An Overview of Arrays and Iteration in Julia | Tim Holy | JuliaCon 2016
Viral Shah: The present and future of sparse matrices in Julia
Solving Sparse Linear Systems With Trilinos.jl | Bart Janssens | JuliaCon 2018
SparseVariables.jl: Efficient Sparse Modelling with JuMP | Lars Hellemo | JuliaCon 2022
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Last Updated: September 25, 2026
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A live stream working on a pull request on the Visit julialang.org/ to download QNumerics Summer School 2026 — Session 1-3 Performance Engineering in This talk was presented as part of JuliaCon2021 Abstract: We will introduce Chordal.jl, which includes several extensible ... PartitionedArrays is a distributed We introduce the ArrayChannels.jl library, which allows communication between distributed nodes to occur between fixed buffers ... The Trilinos library features modern iterative solvers for large linear systems. Using the Tpetra library, it can exploit hybrid ... Industry scale optimization problems are often large and
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