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| Name: libsundials_arkode4-mvapich2 | Distribution: openSUSE:Factory:zSystems |
| Version: 5.7.0 | Vendor: obs://build.opensuse.org/openSUSE:Factory:zSystems |
| Release: 1.1 | Build date: Wed Feb 17 19:00:25 2021 |
| Group: Unspecified | Build host: s390p21 |
| Size: 509819 | Source RPM: sundials-mvapich2-5.7.0-1.1.src.rpm |
| Url: https://computation.llnl.gov/projects/sundials/ | |
| Summary: Suite of nonlinear solvers - arkode shared libraries | |
SUNDIALS is a SUite of Non-linear DIfferential/ALgebraic equation Solvers for use in writing mathematical software. This package provides the shared libraries for SUNDIALS' arkode solver.
BSD-3-Clause
* Fri Feb 12 2021 Dirk Müller <dmueller@suse.com>
- 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 <badshah400@gmail.com>
- 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 <badshah400@gmail.com>
- 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 <badshah400@gmail.com>
- 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 <badshah400@gmail.com>
- 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 <badshah400@gmail.com>
- Run spec-cleaner for minor cleanups.
* Thu Nov 07 2019 Atri Bhattacharya <badshah400@gmail.com>
- 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 <badshah400@gmail.com>
- Enable multibuild with serial, openmpi1, openmpi2, openmpi3,
and mvapich2 flavours.
* Wed Apr 10 2019 Atri Bhattacharya <badshah400@gmail.com>
- 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 <badshah400@gmail.com>
- 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 scorot@free.fr
- fix mistyping in spec file which broke build where mvapich2
is not available
* Sat Jun 02 2012 scorot@free.fr
- set --with-mpi-libs in configure in order to fix mpi library
linking
* Sat Jun 02 2012 scorot@free.fr
- enable parallel build for openmpi and mvapich2
* Sat Jun 02 2012 scorot@free.fr
- remove not applied patch0 from files list
* Sat Jun 02 2012 scorot@free.fr
- spec files re-formating
- version 2.5.0
* Many bugfixes and new features
* See https://computation.llnl.gov/casc/sundials/download/
whatsnew.html for a complete list of changes
/usr/lib64/mpi/gcc/mvapich2/lib64/libsundials_arkode.so.4 /usr/lib64/mpi/gcc/mvapich2/lib64/libsundials_arkode.so.4.7.0
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