v0.6.1

• Fixed import error in pylops_mpi.optimization.cls_sparsity and pylops_mpi.optimization.sparsity

v0.6.0

• Introduced pylops_mpi.optimization.eigs.power_iteration to estimate the maximum eigenvalue.
• Added pylops_mpi.optimization.sparsity.ista and the corresponding pylops_mpi.optimization.cls_sparsity.ISTA class, implementing the iterative shrinkage-thresholding algorithm.
• Added pylops_mpi.optimization.sparsity.fista and the corresponding pylops_mpi.optimization.cls_sparsity.FISTA class, a fast variant of ISTA.
• Included tutorial: "Reflectivity Inversion - 3D", with separate implementations for base, CuPy, and NCCL.
• Added empty_like function to pylops_mpi.DistributedArray and pylops_mpi.StackedDistributedArray.
• Introduced a vdot parameter in the dot method of pylops_mpi.DistributedArray and pylops_mpi.StackedDistributedArray to support vector dot products.

v0.5.0

• Performed fixes to support numpy>=2.4.
• Added redistribute function to pylops_mpi.DistributedArray.
• Introduced MPI_Allgatherv in pylops_mpi.utils._mpi.mpi_allgather for variable sized arrays.
• Modified pylops_mpi.DistributedArray.norm to correctly handle cases where distributed axis differs from norm axis.

v0.4.0

• Added pylops_mpi.Distributed.DistributedMixIn class with communicator-agnostic calls to communication methods.
• Added pylops_mpi.utils._mpi with implementations of MPI communication methods.
• Added kind="summa" implementation in pylops_mpi.basicoperators.MPIMatrixMult operator.
• Added kind paramter to all operators in pylops_mpi.basicoperators.MPILaplacian
• Added cp.cuda.Device().synchronize() before any MPI call when using Cuda-Aware MPI.
• Modified pylops_mpi.utils._nccl.initialize_nccl_comm to handle nodes with more GPUs than ranks.
• Fixed bug in pylops_mpi.DistributedArray.__neg__ by explicitely passing base_comm_nccl during internal creation of distributed array .

v0.3.0

• Added pylops_mpi.basicoperators.MPIMatrixMult operator.
• Added NCCL support to all operators in :mod:pylops_mpi.basicoperators and pylops_mpi.signalprocessing.
• Added base_comm_nccl in constructor of pylops_mpi.DistributedArray to enable NCCL communication backend.
• Added pylops_mpi.utils.benchmark subpackage providing methods to decorate and mark functions / class methods to measure their execution time.
• Added pylops_mpi.utils._nccl subpackage implementing methods for NCCL communication backend.
• Added pylops_mpi.utils.deps subpackage to safely import nccl
• Fixed partition in the creation of the output distributed array in pylops_mpi.signalprocessing.MPIFredholm1.

v0.2.1

• Release for publication on Zenodo

v0.2.0

• Added support for using CuPy arrays with PyLops-MPI.
• Introduced the MPIFredholm1 and MPIMDC operators.
• Allowed the UNSAFE_BROADCAST partition to give users an option to handle overflow in broadcast scenarios.
• Added a dottest function to perform dot tests on PyLops-MPI operators.
• Created a tutorial for Multi-Dimensional Deconvolution (MDD).

v0.1.0

• Adapted pylops_mpi.optimization.cg and pylops_mpi.optimization.cgls to handle pylops_mpi.StackedDistributedArray.
• Added pylops_mpi.MPIGradient operator.
• Added pylops_mpi.MPIStackedLinearOperator, pylops_mpi.MPIStackedBlockDiag, and pylops_mpi.MPIStackedVStack operators.
• Added pylops_mpi.StackedDistributedArray.

v0.0.1

First official release of PyLops-MPI.