llnl/hiop

📦 Version 1.2.0: Release of HiOpBBpy solver for derivative-free optimization

• HiOpBBpy Batched Bayesian Optimizer @thartland in https://github.com/LLNL/hiop/pull/724
• HiOpBBpy Nonlinear constraints by @nychiang in https://github.com/LLNL/hiop/pull/726
• HiOpBBpy parallel MPI evaluation manager to utils by @weslleyspereira in https://github.com/LLNL/hiop/pull/733
• Derivative checker for quasi-Newton and Newton IPMs by @cnpetra in https://github.com/LLNL/hiop/pull/731
• HiOpBBpy parallel Evaluator Upgrade by @thartland in https://github.com/LLNL/hiop/pull/734
• Addressing misc compilation warnings by @cnpetra in https://github.com/LLNL/hiop/pull/738
• Logger for HiOpBBpy by @nychiang in https://github.com/LLNL/hiop/pull/739
• README update with HiOpBBpy information by @thartland in https://github.com/LLNL/hiop/pull/742
• + 1 more

✨ New Contributors

• @weslleyspereira made their first contribution in https://github.com/LLNL/hiop/pull/733
• Full Changelog: https://github.com/LLNL/hiop/compare/v1.1.1...v1.2.0

📋 What's Changed

• Consolidating qn solver by @cnpetra in https://github.com/LLNL/hiop/pull/697
• Qn solver cleanup by @cnpetra in https://github.com/LLNL/hiop/pull/699
• use clang-format in hiop to keep code style by @nychiang in https://github.com/LLNL/hiop/pull/700
• Add spack install instructions to README.md by @cameronrutherford in https://github.com/LLNL/hiop/pull/701
• fix github action packages and commands by @nychiang in https://github.com/LLNL/hiop/pull/704
• Fix hipblas path by @cnpetra in https://github.com/LLNL/hiop/pull/705
• Cmake option HIOP_TEST_WITH_SLURM by @thartland in https://github.com/LLNL/hiop/pull/707
• use C++17 by @nychiang in https://github.com/LLNL/hiop/pull/703
• + 8 more

✨ New Contributors

• @thartland made their first contribution in https://github.com/LLNL/hiop/pull/707
• Full Changelog: https://github.com/LLNL/hiop/compare/v1.1.0...v1.1.1

📋 What's Changed

• Update cmake paths be relative to hiop project by @chapman39 in https://github.com/LLNL/hiop/pull/684
• Patch two memory leaks that cause more leaks by @tepperly in https://github.com/LLNL/hiop/pull/685
• add new function for warmstart by @nychiang in https://github.com/LLNL/hiop/pull/688
• Fix CI pipeline by @nychiang in https://github.com/LLNL/hiop/pull/694
• Add working spack build with build cache. by @cameronrutherford in https://github.com/LLNL/hiop/pull/695
• Checkpointing (quasi-Newton solver) by @cnpetra in https://github.com/LLNL/hiop/pull/693

✨ New Contributors

• @chapman39 made their first contribution in https://github.com/LLNL/hiop/pull/684
• Full Changelog: https://github.com/LLNL/hiop/compare/v1.0.3...v1.1.0

📋 What's Changed

• Update modules for CI tests on LLNL LC by @nychiang in https://github.com/LLNL/hiop/pull/679
• Update cmake build system to require RAJA when GPU compute mode is used by @nychiang in https://github.com/LLNL/hiop/pull/676
• Moving limits options for NLP IPM solvers by @cnpetra in https://github.com/LLNL/hiop/pull/681
• Full Changelog: https://github.com/LLNL/hiop/compare/v1.0.2...v1.0.3

📋 What's Changed

• Removed deprecated ALG2 for cusparseCsr2cscEx2 by @cnpetra in https://github.com/LLNL/hiop/pull/671
• Addressed fixed buffer size vulnerability for vsnprintf by @nychiang in https://github.com/LLNL/hiop/pull/673
• Removed stringent `-Wall` and `-Werror` from release builds to avoid downstream compilation errors
• Full Changelog: https://github.com/LLNL/hiop/compare/v1.0.1...v1.0.2

📋 What's Changed

• Default C++ standard remains C++14
• Fix LLNL CI by @nychiang in https://github.com/LLNL/hiop/pull/663
• C++17 support: compile -Wall/-Werror proof by @tepperly in https://github.com/LLNL/hiop/pull/653
• Fix a bug in copying an empty matrix into a bigger matrix by @nychiang in https://github.com/LLNL/hiop/pull/666
• Fix the approach used to update mu by @nychiang in https://github.com/LLNL/hiop/pull/664
• Full Changelog: https://github.com/LLNL/hiop/compare/v1.0.0...v1.0.1

✨ Notable new features

• Instrumentation of RAJA sparse matrix class with execution spaces by @cnpetra in https://github.com/LLNL/hiop/pull/589
• Fix Assignment Typo in hiopMatrixSparseCsrCuda.cpp by @pate7 in https://github.com/LLNL/hiop/pull/612
• Use failure not failed in PNNL commit status posting by @cameronrutherford in https://github.com/LLNL/hiop/pull/609
• rebuild modules on quartz by @nychiang in https://github.com/LLNL/hiop/pull/619
• Use constraint violation in checkTermination by @nychiang in https://github.com/LLNL/hiop/pull/617
• MPI communication optimization by @rothpc in https://github.com/LLNL/hiop/pull/613
• fix memory leaks in inertia-free alg and condensed linsys by @nychiang in https://github.com/LLNL/hiop/pull/622
• Update IPM algorithm for the dense solver by @nychiang in https://github.com/LLNL/hiop/pull/616
• + 9 more

✨ New Contributors

• @pate7 made their first contribution in https://github.com/LLNL/hiop/pull/612
• @rothpc made their first contribution in https://github.com/LLNL/hiop/pull/613

✨ Notable new features

• Execution spaces: support for memory backends and execution policies by @cnpetra in https://github.com/LLNL/hiop/pull/543
• Build: Cuda without raja by @cnpetra in https://github.com/LLNL/hiop/pull/579
• Update of RAJA-based dense matrix to support runtime execution spaces by @cnpetra in https://github.com/LLNL/hiop/pull/580
• Reorganization of device namespace by @cnpetra in https://github.com/LLNL/hiop/pull/582
• RAJA Vector int with ExecSpace by @cnpetra in https://github.com/LLNL/hiop/pull/583
• Instrumentation of host vectors with execution spaces by @cnpetra in https://github.com/LLNL/hiop/pull/584
• Remove copy from/to device methods in vector classes by @cnpetra in https://github.com/LLNL/hiop/pull/587
• Add support for Raja with OpenMP into LLNL CI by @nychiang in https://github.com/LLNL/hiop/pull/566
• + 6 more

🐛 Bug fixes

• Refine the computation in normal equation system by @nychiang in https://github.com/LLNL/hiop/pull/530
• Fix static culibos issue #567 by @nychiang in https://github.com/LLNL/hiop/pull/568
• Fix segfault, remove nonsymmetric ginkgo solver by @fritzgoebel in https://github.com/LLNL/hiop/pull/548
• Calculate the inverse objective scale correctly. by @tepperly in https://github.com/LLNL/hiop/pull/570
• Fix `hiopVectorRajaPar::copyToStartingAt_w_pattern` by @nychiang in https://github.com/LLNL/hiop/pull/569
• Gitlab pipeline refactor by @CameronRutherford in https://github.com/LLNL/hiop/pull/597

✨ New Contributors

• @tepperly made their first contribution in https://github.com/LLNL/hiop/pull/570

📋 What's Changed

• fixing memory leaks in cuSolver by @kswirydo in https://github.com/LLNL/hiop/pull/554
• moves pnnl_cleanup to .pre stage and removes files based on age by @jdmacam in https://github.com/LLNL/hiop/pull/555
• Condensed/normaleqn linear system without CUDA/RAJA by @nychiang in https://github.com/LLNL/hiop/pull/557
• Fix mds raja example for raja without GPU by @nychiang in https://github.com/LLNL/hiop/pull/558
• git submodule fixes by @cnpetra in https://github.com/LLNL/hiop/pull/561
• Misc build system fixes related to HIOP_SPARSE by @cnpetra in https://github.com/LLNL/hiop/pull/560
• Disable openmp when raja is not used by @nychiang in https://github.com/LLNL/hiop/pull/562
• Pre stage pipeline fix by @ryandanehy in https://github.com/LLNL/hiop/pull/564
• + 1 more

✨ New Contributors

• @jdmacam made their first contribution in https://github.com/LLNL/hiop/pull/555
• @ryandanehy made their first contribution in https://github.com/LLNL/hiop/pull/564
• Full Changelog: https://github.com/LLNL/hiop/compare/v0.7.0...v0.7.1

📋 Changes

• Fortran interface and examples
• Bug fixing for sparse device linear solvers
• Implementation of CUDA CSR matrices
• Iterative refinement within CUSOLVER linear solver class
• Improved robustness and performance of mixed dense-sparse solver for AMD/HIP

📋 Changes

• the release of the primal decomposition (PriDec) solver for structured two-stage problems
• improved support for (NVIDIA) GPUs for solving sparse optimization problems via NVIDIA's cuSOLVER API and newly developed condensed optimization kernels.
• improved accuracy in the computations of the search directions via Krylov-based iterative refinement
• design of a matrix interface for sparse matrices in compressed sparse row format and (capable) CPU reference implementation

📋 Changes

• soft feasibility restoration
• Relaxer of equality constraints at the NLP formulation level
• Krylov interfaces and implementation for CG and BiCGStab
• protype of the condensed linear system and initial Krylov-based iterative refinement
• update of the Magma solver class for the latest Magma API
• elastic mode

📋 Changes

• update of the interface to MAGMA and capability for running mixed dense-sparse (MDS) problems solely in the device memory space
• added interface PARDISO linear solver
• porting of the sparse linear algebra kernels to device via RAJA performance portability layer
• various optimizations and bug fixes for the RAJA-based dense linear algebra kernels
• Primal decomposition solver HiOp-PriDec available as a release candidate

📋 Changes

• solver class for Magma was updated to work on the GPU
• interface for PARDISO (CPU)
• bug fixes for PriDec solver

📋 Changes

• Development of a sparse NLP solver and associated sparse NLP interface
• Update of the mixed dense-sparse NLP solver to support full GPU compute mode
• Unit testing and documentation were expanded and consolidated
• Added partial support for device/GPU computations for the linear algebra of sparse NLPs
• Second-order corrections to the quasi- and full-Newton search directions
• Support for the relaxing and adjustment of variables and constraints bounds
• Implemented gradient-based scaling of the problem
• Least-squares initialization and computation of the duals
• + 1 more

📋 Changes

• Development of a sparse NLP solver and associated sparse NLP interface
• Update of the mixed dense-sparse NLP solver to support full GPU compute mode
• Unit testing and documentation were expanded and consolidated
• Added partial support for device/GPU computations for the linear algebra of sparse NLPs
• Second-order corrections to the full-Newton search directions
• Support for the relaxing and adjustment of variables and constraints bounds
• Implemented gradient-based scaling of the problem
• Least-squares initialization and computation of the duals
• + 1 more

📋 Changes

• a Newton interior-point solver for nonlinear nonconvex optimization to complement the existing Quasi-Newton interior-point solver
• capabilities to solve optimization solvers with mixed dense and sparse (MDS) blocks: new MDS interface and new MDS linear algebra
• support for GPU-based acceleration of MDS linear algebra.

📋 Changes

• implementation of various strategies to deal with fixed variables (relax, remove)
• comprehensive testing and bug fixing for Mac OS
• minor fixes of bugs found on various HPC platforms (power pc, bg/q, etc)
• minor interface and options refinement required by the integration with MFEM mesh optimization interface