Changelog for libsundials_idas4-openmpi-5.2.0-lp152.1.1.x86_64.rpm :

* Sat May 09 2020 Atri Bhattacharya - Update to version 5.2.0 (See https://computing.llnl.gov/projects/sundials/release-history for details): - Fixed a bug in how ARKode interfaces with a user-supplied, iterative, unscaled linear solver. - Fixed a bug in how ARKode interfaces with a user-supplied, iterative, unscaled linear solver. - Fixed a similar bug in how ARKode interfaces with scaled linear solvers when solving problems with non-identity mass matrices. - Fixed a memory leak in CVODES and IDAS from not deallocating the atolSmin0 and atolQSmin0 arrays. - Fixed a bug where a non-default value for the maximum allowed growth factor after the first step would be ignored. - Functions were added to each of the time integration packages to enable or disable the scaling applied to linear system solutions with matrix-based linear solvers to account for lagged matrix information. - Added two new functions, ARKStepSetMinReduction() and ERKStepSetMinReduction() to change the minimum allowed step size reduction factor after an error test failure. - Added a new SUNMatrix implementation, SUNMATRIX_CUSPARSE, that interfaces to the sparse matrix implementation from the NVIDIA cuSPARSE library. - Added a new \"stiff\" interpolation module to ARKode, based on Lagrange polynomial interpolation, that is accessible to each of the ARKStep, ERKStep and MRIStep time-stepping modules.
* Wed Jan 29 2020 Atri Bhattacharya - Remove duplicated definitions.- Remove bogus undefines of suffix and mpi_flavor for \"serial\" flavour. The former causes builds to fail for openSUSE >= 1550 using rpm >= 4.15.
* Fri Nov 08 2019 Atri Bhattacharya - Run spec-cleaner for minor cleanups.
* Thu Nov 07 2019 Atri Bhattacharya - Update to version 5.0.0:
* Two new NVector implementations created to support flexible partitioning of solution data among different processing elements (e.g., CPU + GPU) or for multi-physics problems that couple distinct MPI-based simulations together: NVECTOR_MANYVECTOR, amd NVECTOR_MPIMANYVECTOR,
* An additional NVector implementation, NVECTOR_MPIPLUSX, has been created to support the MPI+X paradigm where X is a type of on-node parallelism (e.g., OpenMP, CUDA),
* One new required NVector operation, N_VGetLength, and ten new optional vector operations have been added to the NVector API,
* Two new SUNLinearSolver implementations, SUNLINEARSOLVER_SUPERLUDIST which interfaces with the SuperLU_DIST distributed, sparse, linear solver library, and the SUNLINEARSOLVER_CUSOLVERSP_BATCHQR, which interfaces to the cuSOLVE sparse batched QR linear solver,
* A new SUNNonlinearSolver implementation, SUNNONLINSOL_PETSCSNES, which provides an interface to the PETSc SNES API,
* New Fortran 2003 interface modules that provide Fortran users access to most of the SUNDIALS C API including ARKode, CVODE(S), IDA(S), and KINSOL,
* Support for using explicit, implicit, or IMEX methods as the fast integrator with the MRIStep time-stepper in ARKode,
* Several other minor changes and bug fixes: see https://computing.llnl.gov/projects/sundials/release-history.- Merge all nvec solver libraries into a single shared lib package: %{shlib_nvec}.
* Thu Nov 07 2019 Atri Bhattacharya - Enable multibuild with serial, openmpi1, openmpi2, openmpi3, and mvapich2 flavours.
* Wed Apr 10 2019 Atri Bhattacharya - Follow shared library packaging policy and split out multiple versioned shlib packages. The main shared lib %{shlib_main} contains the common shared objects, while each individual solver gets its own shared lib package.- Add blas-devel and lapack-devel BuildRequires; enable blas and lapack (does not work with 64 bits) during cmake.- Enable pthread.
* Wed Apr 10 2019 Atri Bhattacharya - Update to version 4.1.0:
* An additional N_Vector implementation was added for Tpetra vector from Trilinos library to facilitate interoperability between SUNDIALS and Trilinos. This implementation is accompanied by additions to user documentation and SUNDIALS examples.
* A bug was fixed where a nonlinear solver object could be freed twice in some use cases.
* The EXAMPLES_ENABLE_RAJA CMake option has been removed. The option EXAMPLES_ENABLE_CUDA enables all examples that use CUDA including the RAJA examples with a CUDA back end (if the RAJA NVECTOR is enabled).
* The implementation header files (e.g. arkode_impl.h) are no longer installed. This means users who are directly manipulating package memory structures will need to update their code to use the package’s public API.
* Python is no longer required to run make test and make test_install.
* Fixed a bug in ARKodeButcherTable_Write when printing a Butcher table without an embedding.- Changes between previously packaged version (2.5.0) through version 4.0.2: https://computation.llnl.gov/projects/sundials/release-history.- Switch to cmake based build in keeping with upstream.- Drop devel-static package since application no longer builds static libraries anyway.- Only build one (serial) version for now.- Update Source and URL tags.- Remove NOTICE and LICENSE files from includedir; package them properly as doc.
* Sat Jun 02 2012 scorotAATTfree.fr- fix mistyping in spec file which broke build where mvapich2 is not available
* Sat Jun 02 2012 scorotAATTfree.fr- set --with-mpi-libs in configure in order to fix mpi library linking
* Sat Jun 02 2012 scorotAATTfree.fr- enable parallel build for openmpi and mvapich2