Heat (release v1.5.0)

Abstract

With Heat 1.5 we release the first set of features developed within the ESAPCA project co-funded by the European Space Agency (ESA). The main focus of this release is on distributed linear algebra operations, such as tall-skinny SVD, batch matrix multiplication, and triangular solver. We also introduce vectorization via vmap across MPI processes, and batch-parallel random number generation as default for distributed operations. This release also includes a new class for distributed Compressed Sparse Column matrices, paving the way for future implementation of distributed sparse matrix multiplication. On the performance side, our new array redistribution via MPI Custom Datatypes provides significant speed-up in operations that require it, such as FFTs. We are grateful to our community of users, students, open-source contributors, the European Space Agency and the Helmholtz Association for their support and feedback. Highlights * Distributed tall-skinny SVD: ht.linalg.svd (by @mrfh92) * Distributed batch matrix multiplication: ht.linalg.matmul (by @FOsterfeld) * Distributed solver for triangular systems: ht.linalg.solve_triangular (by @FOsterfeld) * Vectorization across MPI processes: ht.vmap (by @mrfh92)