A new solver combines MGRIT parallel-in-time stepping, sparse-grid combination technique, and space-filling-curve domain decomposition to produce an embarrassingly parallel method for parabolic PDEs up to six dimensions.
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Converting an 800k-line C++ mathematical library to C++20 modules is feasible with moderate effort and yields compile-time savings inside the library but no clear trend for downstream users.
Review chapter summarizing advances in parallel sparse direct solvers along communication reduction and data-sparse compression axes.
citing papers explorer
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A Parallel-in-Time Combination Method for Parabolic Problems
A new solver combines MGRIT parallel-in-time stepping, sparse-grid combination technique, and space-filling-curve domain decomposition to produce an embarrassingly parallel method for parabolic PDEs up to six dimensions.
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Experience converting a large mathematical software package written in C++ to C++20 modules
Converting an 800k-line C++ mathematical library to C++20 modules is feasible with moderate effort and yields compile-time savings inside the library but no clear trend for downstream users.
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Parallel Sparse and Data-Sparse Factorization-based Linear Solvers
Review chapter summarizing advances in parallel sparse direct solvers along communication reduction and data-sparse compression axes.