Changelog for libsundials_arkode6-openmpi4-7.1.1-Virt.150400.38.1.x86_64.rpm :

* Wed Jul 17 2024 Atri Bhattacharya - Update to version 7.1.1:
* Fixed a bug in v7.1.0 with the SYCL N_Vector N_VSpace
* function (gh#LLNL/sundials#523).- Changes from version 7.1.0:
* Too many to list, see .
* Tue Mar 12 2024 Atri Bhattacharya - Update to version 7.0.0:
* Many changes, see https://github.com/LLNL/sundials/releases/tag/v7.0.0.- Update shared library package names in keeping with upstream so version bumps.- Adapt to name change of shared library: libsundials_generic -> libsundials_core.
* Tue Feb 20 2024 Nicolas Morey - Load the full mpivars instead of manually setting LD_LIBRARY_PATH- Add flags to handle oversubscription for %check (bsc#1201273). _constraints avoids this in OBS, but local runs may not have 4 cores available.
* Tue Dec 19 2023 Atri Bhattacharya - Update to version 6.7.0:
* Many changes, see https://github.com/LLNL/sundials/releases/tag/v6.7.0.- Adapt shlib names for sunlinsol and sunnonlin libraries in keeping with upstream so versioning changes.
* Sun Dec 03 2023 Atri Bhattacharya - Update to version 6.6.2:
* Fixed build system support for MAGMA when using a NVIDIA HPC SDK installation of CUDA
* Fixed targets used for rocBLAS and rocSPARSE.- Changes from version 6.6.1:
* Updated the Tpetra NVector interface to support Trilinos 14.
* Fixed a memory leak when destroying a CUDA, HIP, SYCL, or system SUNMemoryHelper object.
* Fixed a bug in ARKODE, CVODE, CVODES, IDA, and IDAS where the stop time may not be cleared when using normal mode if the requested output time is the same as the stop time.- Changes from versio 6.6.0:
* A new time-stepping module, SPRKStep, was added to ARKODE. This time-stepper provides explicit symplectic partitioned Runge-Kutta methods up to order 10 for separable Hamiltonian systems.
* Added support for relaxation Runge-Kutta methods to ERKStep and ARKStep in ARKODE.
* Added the second order IMEX method from Giraldo, Kelly, and Constantinescu 2013 as the default second order IMEX method in ARKStep.
* Updated CVODE, CVODES and ARKODE default behavior when returning the solution when the internal time has reached a user-specified stop time.
* A potential bug was fixed when using inequality constraint handling and calling ARKStepGetEstLocalErrors or ERKStepGetEstLocalErrors after a failed step in which an inequality constraint violation occurred.
* Updated the F2003 utility routines SUNDIALSFileOpen and SUNDIALSFileClose to support user specification of stdout and stderr strings for the output file names.- Changes from older releases: see https://computing.llnl.gov/projects/sundials/release-history- Drop sundials-link-pthread.patch: fixed upstream.- Bump so versions in keeping with upstream.
* Mon Oct 23 2023 Nicolas Morey - Drop support for obsolete openmpi[123]- Prepare support for openmpi5
* Sat Sep 17 2022 Atri Bhattacharya - Add Requires: libsundials_sunmatrix4 explicitly for libsundials_sunlinsol4_3_0; automatic deps fails to distinguish between serial and mpi flavors causing resolving issues when building apps dependent on libsundials_sunlinsol.
* Wed Sep 14 2022 Atri Bhattacharya - Update to version 6.3.0:
* Added GetUserData functions in each package to retrieve the user data pointer provided to SetUserData functions
* Fixed a bug in ERKStepReset, ERKStepReInit, ARKStepReset, ARKStepReInit, MRIStepReset, and MRIStepReInit where a previously-set value of tstop (from a call to ERKStepSetStopTime, ARKStepSetStopTime, or MRIStepSetStopTime, respectively) would not be cleared.
* Updated MRIStepReset to call the corresponding MRIStepInnerResetFn with the same (tR,yR) arguments for the MRIStepInnerStepper object that is used to evolve the MRI \"fast\" time scale subproblems.
* Added a new example which demonstrates using CVODE with a discontinuous right-hand-side function and rootfinding.
* Added a variety of embedded DIRK methods from [Kennedy & Carpenter, NASA TM-2016-219173, 2016] and [Kennedy & Carpenter, Appl. Numer. Math., 146, 2019] to ARKODE.
* Fixed the unintuitive behavior of the USE_GENERIC_MATH CMake option which caused the double precision math functions to be used regardless of the value of SUNDIALS_PRECISION.
* Changed SUNDIALS_LOGGING_ENABLE_MPI CMake option default to be \'OFF\'.- Split off sundials-sunlibs (previously libsundials4) into individual shared lib packages: libsundials_sunlinsol4_3_0, libsundials_sunmatrix4, and libsundials_sunnonlin3_3_0.
* Fri Sep 09 2022 Atri Bhattacharya - Rename libsundials4 to sundials-sunlibs as it packages multiple shared libs pertaining to the main sundials library; shlib naming guidelines do not apply in this case.- Drop no longer needed rpmlintrc file.- Make -doc package into noarch.
* Thu Jul 07 2022 Klaus Kämpf - add _constraints (boo#1201273)
* Mon Jun 27 2022 Klaus Kämpf - Update to 6.2.0 See https://github.com/LLNL/sundials/blob/main/CHANGELOG.md- https://github.com/LLNL/sundials is now the official SUNDIALS development repository.
* Wed Apr 27 2022 Jan Engelhardt - Add rpmlintrc for shlib-policy-name-error
* Fri Feb 12 2021 Dirk Müller - update to 5.7.0:
* A new NVECTOR implementation based on the SYCL abstraction layer has been added targeting Intel GPUs. At present the only SYCL compiler supported is the DPC++ (Intel oneAPI) compiler. See the SYCL NVECTOR section in the user guide for more details. This module is considered experimental and is subject to major changes even in minor releases.
* A new SUNMatrix and SUNLinearSolver implementation were added to interface with the MAGMA linear algebra library. Both the matrix and the linear solver support general dense linear systems as well as block diagonal linear systems, and both are targeted at GPUs (AMD or NVIDIA).
* Fixed a bug in the SUNDIALS CMake which caused an error if the CMAKE_CXX_STANDARD and SUNDIALS_RAJA_BACKENDS options were not provided.
* Fixed some compiler warnings when using the IBM XL compilers.
* A new NVECTOR implementation based on the AMD ROCm HIP platform has been added. This vector can target NVIDIA or AMD GPUs. See HIP NVECTOR section in the user guide for more details. This module is considered experimental and is subject to change from version to version.
* The RAJA NVECTOR implementation has been updated to support the HIP backend in addition to the CUDA backend. Users can choose the backend when configuring SUNDIALS by using the `SUNDIALS_RAJA_BACKENDS` CMake variable. This module remains experimental and is subject to change from version to version.
* A new optional operation, `N_VGetDeviceArrayPointer`, was added to the N_Vector API. This operation is useful for N_Vectors that utilize dual memory spaces, e.g. the native SUNDIALS CUDA N_Vector.
* The SUNMATRIX_CUSPARSE and SUNLINEARSOLVER_CUSOLVERSP_BATCHQR implementations no longer require the SUNDIALS CUDA N_Vector. Instead, they require that the vector utilized provides the `N_VGetDeviceArrayPointer` operation, and that the pointer returned by `N_VGetDeviceArrayPointer` is a valid CUDA device pointer.- Minor refreshing of sundials-link-pthread.patch to apply cleanly against updated sources.
* Wed Dec 02 2020 Atri Bhattacharya - Update to version 5.5.0:
* Refactored the SUNDIALS CMake build system to improve build times by as much as 35%.
* CMake 3.12.0 or newer is now required.
* Users will likely see CMake deprecation warnings, and potentially new errors when incompatible CMake options have been set (previously, these would fail silently).
* SUNDIALS now exports CMake targets and installs a SUNDIALSConfig.cmake file.
* Added support for SuperLU DIST 6.3.0+.- Add sundials-link-pthread.patch: Link against pthread explicitly to fix linking errors when `-Wl,--no-undefined` is added to the linker flags; patch sent upstream.- Add BuildRequires: suitesparse-devel and enable KLU solver; pass appropriate options to cmake to make sure the klu library and header is correctly found.- Use cmake macros instead of manual cmake commands.- Split out new libsundials_generic package with the libsundials_generic shared library.- Enable openmpi4 flavour.- Run tests except for tests that fail due to floating point errors in the tests themselves.- Drop Group tags.
* Fri Sep 11 2020 Atri Bhattacharya - Update to version 5.3.0:
* Added support to CVODE for integrating IVPs with constraints using BDF methods and projecting the solution onto the constraint manifold with a user defined projection function.
* Added the ability to control the CUDA kernel launch parameters for the NVECTOR_CUDA and SUNMATRIX_CUSPARSE modules.
* The NVECTOR_CUDA kernels were rewritten to be more flexible.
* Added new capabilities for monitoring the solve phase in the SUNNONLINSOL_NEWTON and SUNNONLINSOL_FIXEDPOINT modules, and the SUNDIALS iterative linear solver modules.
* Added specialized fused CUDA kernels to CVODE which may offer better performance on smaller problems when using CVODE with the NVECTOR_CUDA module.
* Added a new function, CVodeSetMonitorFn, that takes a user-function to be called by CVODE after every nst successfully completed time-steps.
* Added a new function CVodeGetLinSolveStats to get the CVODE linear solver statistics as a group.
* Added optional set functions to provide an alternative ODE right-hand side function (ARKode and CVODE(S)), DAE residual function (IDA(S)), or nonlinear system function (KINSOL) for use when computing Jacobian-vector products with the internal difference quotient approximation.
* Fixed a bug in ARKode where the prototypes for ERKStepSetMinReduction() and ARKStepSetMinReduction() were not included in arkode_erkstep.h and arkode_arkstep.h respectively.
* Fixed a bug in ARKode where inequality constraint checking would need to be disabled and then re-enabled to update the inequality constraint values after resizing a problem.
* Fixed a bug in the iterative linear solver modules where an error is not returned if the Atimes function is NULL or, if preconditioning is enabled, the PSolve function is NULL.- Pass SUNDIALS_BUILD_WITH_MONITORING=ON to cmake to enable monitoring the solve phase in different iterative solver modules.
* 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.