Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore parallel algebraic multigrid (AMG) methods in Julia using PartitionedArrays.jl in this conference talk from JuliaCon 2024. Discover the latest updates to PartitionedArrays.jl, focusing on implementing and using parallel AMG methods and large-scale linear solvers. Learn about the package's alternative parallel programming interface, designed to address limitations of traditional MPI-based implementations. Understand how this approach simplifies the development and debugging process for complex algorithms, enabling the use of standard Julia tools during development and MPI-distributed arrays for large-scale production runs. Gain insights into distributed linear algebra data structures, computational kernels, and the implementation of AMG schemes using this innovative approach.
