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Doc updates (#974)

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* Updated documentation for clarity and to clean up a few typos.
* Add warning messages to FEI,  ParaSails, PILUT, Euclid.
* Improved and updated GPU information
* Added CMake build information
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@ -19,11 +19,13 @@ cmbuild/
###############
# Documentation
###############
src/docs/ref-manual/html/
src/docs/ref-manual-html/
src/docs/ref-manual.pdf
src/docs/ref-manual/latex/
src/docs/ref-manual/xml/
src/docs/usr-manual-html/
src/docs/usr-manual/html/
src/docs/usr-manual.pdf
src/docs/usr-manual/_build/

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@ -10,6 +10,11 @@
Finite Element Interface
******************************************************************************
.. warning::
FEI is not actively supported by the hypre development team. For similar
functionality, we recommend using :ref:`sec-Block-Structured-Grids-FEM`, which
allows the representation of block-structured grid problems via hypre's
SStruct interface.
Introduction
==============================================================================
@ -173,4 +178,3 @@ right hand side, a signal is sent to the FEI via
.. code-block:: c++
feiPtr -> loadComplete();

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@ -127,7 +127,7 @@ As previously noted, on most systems hypre can be built by simply typing
Alternatively, the CMake system [CMakeWeb]_ can be used, and is the best
approach for building hypre on Windows systems in particular. For more detailed
instructions, read the ``INSTALL`` file provided with the hypre distribution or
refer to the last chapter in this manual. Note the following requirements:
the :ref:`ch-General` section of this manual. Note the following requirements:
* To run in parallel, hypre requires an installation of MPI.

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@ -14,24 +14,21 @@ General Information
Getting the Source Code
==============================================================================
The hypre distribution tar file is available from the Software link of the hypre
web page, http://www.llnl.gov/CASC/hypre/. The hypre Software distribution page
allows access to the tar files of the latest and previous general and beta
distributions as well as documentation.
The most recent hypre distribution is available at
https://github.com/hypre-space/hypre/tags along with previous distribution versions.
Building the Library
==============================================================================
In this and the following several sections, we discuss the steps to install and
use hypre on a Unix-like operating system, such as Linux, AIX, and Mac OS X.
Alternatively, the CMake build system [CMakeWeb]_ can be used, and is the best
approach for building hypre on Windows systems in particular (see the
``INSTALL`` file for details).
use hypre. First, we focus on the primary method targeting Unix-like operating
systems, such as Linux, AIX, and Mac OS X. Then in `CMake instructions`_, we
explain an alternative approach using the CMake build system [CMakeWeb]_, which
is the best approach for building hypre on Windows systems in particular.
After unpacking the hypre tar file, the source code will be in the ``src``
sub-directory of a directory named hypre-VERSION, where VERSION is the current
version number (e.g., hypre-1.8.4, with a "b" appended for a beta release).
version number (e.g., hypre-2.29.0).
Move to the ``src`` sub-directory to build hypre for the host platform. The
simplest method is to configure, compile and install the libraries in
@ -87,7 +84,7 @@ is to display the help package, by executing ``./configure --help``, which also
includes the usage information. The user can mix and match the configure
options and variable settings to meet their needs.
Some of the commonly used options include:
Some commonly used options include:
.. code-block:: none
@ -102,10 +99,12 @@ Some of the commonly used options include:
--with-openmp Use OpenMP. This may affect which compiler is
chosen.
--enable-bigint Use long long int for HYPRE_Int (default is NO).
NOTE: This option is not available for Nvidia
and AMD GPUs.
--enable-mixedint Use long long int for HYPRE_BigInt and int for
HYPRE_Int.
NOTE: This option disables Euclid, ParaSails,
pilut and CGC coarsening.
PILUT and CGC coarsening.
The user can mix and match the configure options and variable settings to meet
their needs. It should be noted that hypre can be configured with external BLAS
@ -167,7 +166,7 @@ Hypre can support NVIDIA GPUs with CUDA and OpenMP (:math:`{\ge}` 4.5). The rela
.. code-block:: none
--with-cuda Use CUDA. Require cuda-8.0 or higher (default is
--with-cuda Use CUDA. Require cuda-9.0 or higher (default is
NO).
--with-device-openmp Use OpenMP 4.5 Device Directives. This may affect
@ -190,12 +189,11 @@ need to be set properly, which can be also set by
--with-cuda-home=DIR
When configured with ``--with-cuda`` or ``--with-device-openmp``, the memory allocated on the GPUs, by default, is the GPU device memory, which is not accessible from the CPUs.
Hypre's structured solvers can work fine with device memory,
Hypre's structured solvers can run with device memory,
whereas only selected unstructured solvers can run with device memory. See
Chapter :ref:`ch-boomeramg-gpu` for details.
In general, BoomerAMG and the SStruct
require unified (CUDA managed) memory, for which
the following option should be added
:ref:`ch-boomeramg-gpu` for details.
Some solver options for BoomerAMG require unified (CUDA managed) memory.
To use these options add the following configure option:
.. code-block:: none
@ -220,7 +218,7 @@ The other NVIDIA GPU related options include:
* ``--enable-gpu-profiling`` Use NVTX on CUDA, rocTX on HIP (default is NO)
* ``--enable-cusparse`` Use cuSPARSE for GPU sparse kernels (default is YES)
* ``--enable-cublas`` Use cuBLAS for GPU dense kernels (default is NO)
* ``--enable-cublas`` Use cuBLAS for GPU dense kernels (default is YES)
* ``--enable-curand`` Use random numbers generators on GPUs (default is YES)
Allocations and deallocations of GPU memory are expensive. Memory pooling is a common approach to reduce such overhead and improve performance.
@ -250,15 +248,44 @@ For running on AMD GPUs, configure with
--with-hip Use HIP for AMD GPUs. (default is NO)
--with-gpu-arch=ARG Use appropriate AMD GPU architecture
Currently, only BoomerAMG is supported with HIP. The other AMD GPU related options include:
The other AMD GPU related options include:
* ``--enable-gpu-profiling`` Use NVTX on CUDA, rocTX on HIP (default is NO)
* ``--enable-rocsparse`` Use rocSPARSE (default is YES)
* ``--enable-rocblas`` Use rocBLAS (default is NO)
* ``--enable-rocrand`` Use rocRAND (default is YES)
All the options supported by CUDA are also supported with HIP. **Note that the ``--enable-bigint`` option is not supported with CUDA or HIP.**
For running on Intel GPUs, configure with
.. code-block:: none
--with-sycl Use SYCL for Intel GPUs. (default is NO).
--with-sycl-target=ARG User specifies sycl targets for AOT compilation in
ARG, where ARG is a comma-separated list (enclosed
in quotes), e.g. "spir64_gen".
--with-sycl-target-backend=ARG
User specifies additional options for the sycl
target backend for AOT compilation in ARG, where ARG
contains the desired options (enclosed in
double+single quotes), e.g.
--with-sycl-target-backend="'-device
12.1.0,12.4.0'".
Intel oneMKL functionality is also used by default (and required for certain hypre solvers):
.. code-block:: none
--enable-onemklsparse Use oneMKL sparse (default is YES).
--enable-onemklblas Use oneMKL blas (default is YES).
--enable-onemklrand Use oneMKL rand (default is YES).
The SYCL backend now supports all GPU-enabled hypre functionality currently supported by CUDA/HIP except for FSAI (work in progress).
The ``--enable-bigint`` option is supported with SYCL (not supported for CUDA/HIP).
Testing the Library
==============================================================================
------------------------------------------------------------------------------
The ``examples`` subdirectory contains several codes that can be used to test
the newly created hypre library. To create the executable versions, move into
@ -266,6 +293,181 @@ the ``examples`` subdirectory, enter ``make`` then execute the codes as
described in the initial comments section of each source code.
.. _CMake instructions:
CMake-based Build Instructions
==============================================================================
This section describes hypre's CMake build system, which is particularly useful for building
the code on Windows machines. CMake-based installation provides a platform-independent
build system. CMake can generate Unix and Linux Makefiles, as well as Visual Studio and
(Apple) XCode project files from the same configuration file. In addition,
CMake also provides a GUI front end and which allows an interactive build and
installation process. For more detailed information on using CMake,
see `CMake's User Interaction Guide <https://cmake.org/cmake/help/latest/guide/user-interaction/index.html>`_.
**Note**: Not all options are currently supported when using CMake. This is an
on-going effort to support all hypre configure options.
Here are the basic steps to configure, make, and install hypre using CMake:
#. Ensure that CMake version 3.13.0 or later is installed on the system.
#. After unpacking the hypre tar file or cloning, move to the ``src`` sub-directory.
#. To build the library, run CMake on the top-level hypre source directory to
generate files appropriate for the native build system. To prevent writing
over the Makefiles in hypre's configure/make system above, only out-of-source
builds are allowed with CMake, that is, it is required to use a separate build
directory.
The directory ``src/cmbuild``
is provided in the release for convenience, but
alternative build directories may be created by the user. To configure with
the default options:
- Unix: From the ``src/cmbuild`` directory, type ``cmake ..``.
- Windows Visual Studio: Set the source and build directories to ``src`` and ``src/cmbuild``,
then click on `Configure` following by `Generate`.
#. To build the library, compile with the native build system:
- Unix: From the ``src/cmbuild`` directory, type ``make`` or ``make -j 4``
(for a faster parallel build with 4 threads).
- Windows Visual Studio: Open the 'hypre' VS solution file generated by CMake
and build the `ALL_BUILD` target.
#. To install hypre to the installation directory specified in the configuration:
- Unix: From the ``src/cmbuild`` directory, type ``make install``.
- Windows Visual Studio: Open the `hypre` VS solution file generated by CMake
and build the `INSTALL` target.
- *Note*: The default installation location is set to ``src/hypre``.
Use the ``HYPRE_INSTALL_PREFIX`` option to change this location if desired.
Changing Default CMake Configuration Options
------------------------------------------------------------------------------
Various configuration options can be set from within CMake (see `CMake options`_).
One option is to specify these options in the command-line CMake invocation,
e.g., to enabling building of the examples:
.. code-block:: none
cmake -DHYPRE_BUILD_EXAMPLES=ON ..
Another option is to use the CMake GUI (``ccmake`` or ``cmake-gui``) to change the default options
as appropriate, then reconfigure / generate:
- Unix: From the ``src/cmbuild`` directory, type ``ccmake ..``.
* Change options to desired settings:
* To set a variable, move the cursor to the variable and press enter.
* If it is a boolean (ON/OFF) it will toggle the value.
* If it is string or file, it will allow editing of the string.
* Then configure (``c`` key).
* Repeat until all values are set as desired and then generate (``g`` key).
- Windows Visual Studio: Change options, then click on `Configure` then `Generate`.
Then the re-build and re-install with the updated configuration options.
.. _CMake options:
CMake Configure Options
------------------------------------------------------------------------------
There are many options to allow the user to override and refine
the defaults for any system. The best way to find out what options are available
is to use ``cmake``, ``cmake-gui``, or inspect using Windows Visual Studio.
Some commonly used options (default value) include:
.. code-block:: none
HYPRE_INSTALL_PREFIX (src/hypre) Installation location.
HYPRE_BUILD_EXAMPLES (OFF) Compile test cases for examples of using the library.
HYPRE_BUILD_TYPE (Release) Sets compiler flags to generate information.
needed for debugging.
HYPRE_ENABLE_SHARED (OFF) Build shared libraries.
HYPRE_PRINT_ERRORS (OFF) Print HYPRE errors.
HYPRE_WITH_OPENMP (OFF) Use OpenMP.
HYPRE_ENABLE_BIGINT (OFF) Use long long int for HYPRE_Int.
HYPRE_ENABLE_MIXEDINT (OFF) Use long long int for HYPRE_BigInt and int for
HYPRE_Int.
GPU CMake Build Options
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Some of the commonly used options for GPU CMake builds of hypre are listed below.
* CUDA support for NVIDIA GPUs relevant options:
.. code-block:: none
HYPRE_WITH_CUDA (OFF) Use CUDA v9.0 or higher.
HYPRE_CUDA_SM (70) Target CUDA architecture.
When configured with CUDA, the memory allocated on the GPUs, by default, is the GPU device memory, which is not accessible from the CPUs.
Hypre's structured solvers can run with device memory,
whereas only selected unstructured solvers can run with device memory. See
:ref:`ch-boomeramg-gpu` for details.
Some solver options for BoomerAMG require unified (CUDA managed) memory.
To use these options turn the following option on:
.. code-block:: none
HYPRE_ENABLE_UNIFIED_MEMORY (OFF) Use unified memory for allocating the memory.
The other NVIDIA GPU related options include:
.. code-block:: none
HYPRE_ENABLE_GPU_PROFILING (OFF) Use NVTX.
HYPRE_ENABLE_CUSPARSE (ON) Use cuSPARSE for GPU sparse kernels.
HYPRE_ENABLE_CUBLAS (OFF) Use cuBLAS for GPU dense kernels.
HYPRE_ENABLE_CURAND (ON) Use random numbers generators on GPUs.
Allocations and deallocations of GPU memory are expensive. Memory pooling is a common approach to reduce such overhead and improve performance.
hypre provides caching allocators for GPU device memory and unified memory,
enabled by
.. code-block:: none
HYPRE_ENABLE_DEVICE_POOL (OFF) Enable the caching GPU memory allocator in hypre
hypre also supports Umpire [Umpire]_. To enable Umpire pool, include the following options:
.. code-block:: none
HYPRE_WITH_UMPIRE (OFF) Use Umpire Allocator for device and unified memory.
TPL_UMPIRE_LIBRARIES List of absolute paths to Umpire link libraries.
TPL_UMPIRE_INCLUDE_DIRS List of absolute paths to Umpire include directories.
SYCL support for Intel GPUs relevant options:
.. code-block:: none
HYPRE_WITH_SYCL (OFF) Enable SYCL support.
HYPRE_SYCL_TARGET Target SYCL architecture, e.g. 'spir64_gen'.
HYPRE_SYCL_TARGET_BACKEND Additional SYCL backend options, e.g. '-device 12.1.0,12.4.0'.
Testing the Library with CMake Build Process
------------------------------------------------------------------------------
The ``examples`` subdirectory contains several codes that can be used to test
the newly created hypre library. The CMake option ``HYPRE_BUILD_EXAMPLES`` should
be enabled so ensure the executables in the ``examples`` subdirectory are built.
Linking to the Library
==============================================================================
@ -365,6 +567,12 @@ system, MPI implementation, compiler, and any error messages produced.
Using HYPRE in External FEI Implementations
==============================================================================
.. warning::
FEI is not actively supported by the hypre development team. For similar
functionality, we recommend using :ref:`sec-Block-Structured-Grids-FEM`, which
allows the representation of block-structured grid problems via hypre's
SStruct interface.
To set up hypre for use in external, e.g. Sandia's, FEI implementations one
needs to follow the following steps:

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@ -141,6 +141,10 @@
Approximate Inverse Preconditionings I. Theory. *SIAM J. Matrix Anal. A.*, 14(1):45--58, 1993.
`https://doi.org/10.1137/0614004 <https://doi.org/10.1137/0614004>`_.
.. [LiSY2021] R. Li, B. Sjogreen and U. M. Yang. A new class of AMG interpolation
methods based on matrix-matrix multiplications. *SIAM J. Sci. Comput.*, 43(5),
S540--S564.
.. [JaFe2015] C. Janna, M. Ferronato, F. Sartoretto and G. Gambolati.
FSAIPACK: A Software Package for High-Performance Factored Sparse Approximate Inverse
Preconditioning. *ACM T. Math. Software*, 41(2):1–-26, 2015.

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@ -10,13 +10,11 @@ BoomerAMG
BoomerAMG is a parallel implementation of the algebraic multigrid method
[RuSt1987]_. It can be used both as a solver or as a preconditioner. The user
can choose between various different parallel coarsening techniques,
interpolation and relaxation schemes. While the default settings work fairly
well for two-dimensional diffusion problems, for three-dimensional diffusion
problems, it is recommended to choose a lower complexity coarsening like HMIS or
PMIS (coarsening 10 or 8) and combine it with a distance-two interpolation
(interpolation 6 or 7), that is also truncated to 4 or 5 elements per
row. Additional reduction in complexity and increased scalability can often be
achieved using one or two levels of aggressive coarsening.
interpolation and relaxation schemes. The default settings for CPUs, HMIS
(coarsening 8) combined with a distance-two interpolation (6) truncated to 4
or 5 elements per row, should work fairly well for two- and three-dimensional
diffusion problems. Additional reduction in complexity and increased scalability
can often be achieved using one or two levels of aggressive coarsening.
Parameter Options
@ -42,6 +40,7 @@ techniques can be found in [HeYa2002]_, [Yang2005]_.
Various coarsening techniques are available:
* the Cleary-Luby-Jones-Plassman (CLJP) coarsening,
* parallel versions of the classical RS coarsening described in [HeYa2002]_.
* the Falgout coarsening which is a combination of CLJP and the classical RS
coarsening algorithm,
* CGC and CGC-E coarsenings [GrMS2006a]_, [GrMS2006b]_,
@ -51,14 +50,15 @@ Various coarsening techniques are available:
techniques mentioned above a nd thus achieving much lower complexities and
lower memory use [Stue1999]_.
To use aggressive coarsening the user has to set the number of levels to which
he wants to apply aggressive coarsening (starting with the finest level) via
To use aggressive coarsening users have to set the number of levels to which
they want to apply aggressive coarsening (starting with the finest level) via
``HYPRE_BoomerAMGSetAggNumLevels``. Since aggressive coarsening requires long
range interpolation, multipass interpolation is always used on levels with
aggressive coarsening, unless the user specifies another long-range
interpolation suitable for aggressive coarsening.
interpolation suitable for aggressive coarsening via
``HYPRE_BoomerAMGSetAggInterpType``..
Note that the default coarsening is HMIS [DeYH2004]_.
Note that the default coarsening for CPUs is HMIS, for GPUs PMIS [DeYH2004]_.
Interpolation Options
@ -66,18 +66,19 @@ Interpolation Options
Various interpolation techniques can be set using ``HYPRE_BoomerAMGSetInterpType``:
* the "classical" interpolation as defined in [RuSt1987]_,
* direct interpolation [Stue1999]_,
* standard interpolation [Stue1999]_,
* the "classical" interpolation (0) as defined in [RuSt1987]_,
* direct interpolation (3) [Stue1999]_,
* standard interpolation (8) [Stue1999]_,
* an extended "classical" interpolation, which is a long range interpolation and
is recommended to be used with PMIS and HMIS coarsening for harder problems
[DFNY2008]_,
* multipass interpolation [Stue1999]_,
(6) [DFNY2008]_,
* distance-two interpolation based on matrix operations (17) [LiSY2021]_,
* multipass interpolation (4) [Stue1999]_,
* two-stage interpolation [Yang2010]_,
* Jacobi interpolation [Stue1999]_,
* the "classical" interpolation modified for hyperbolic PDEs.
* the "classical" interpolation modified for hyperbolic PDEs (2).
Jacobi interpolation is only use to improve certain interpolation operators and
Jacobi interpolation is only used to improve certain interpolation operators and
can be used with ``HYPRE_BoomerAMGSetPostInterpType``. Since some of the
interpolation operators might generate large stencils, it is often possible and
recommended to control complexity and truncate the interpolation operators using
@ -85,7 +86,8 @@ recommended to control complexity and truncate the interpolation operators using
``HYPRE_BoomerAMGSetJacobiTruncTheshold`` (for Jacobi interpolation only).
Note that the default interpolation is extended+i interpolation [DFNY2008]_
truncated to 4 elements per row.
truncated to 4 elements per row, for CPUs, and a version of this interpolation
based on matrix operations for GPUs [LiSY2021]_.
Non-Galerkin Options
@ -112,11 +114,12 @@ Smoother Options
A good overview of parallel smoothers and their properties can be found in
[BFKY2011]_. Various of the described relaxation techniques are available:
* weighted Jacobi relaxation,
* a hybrid Gauss-Seidel / Jacobi relaxation scheme,
* a symmetric hybrid Gauss-Seidel / Jacobi relaxation scheme,
* l1-Gauss-Seidel or Jacobi,
* Chebyshev smoothers,
* weighted Jacobi relaxation (0),
* a hybrid Gauss-Seidel / Jacobi relaxation scheme (3 4),
* a symmetric hybrid Gauss-Seidel / Jacobi relaxation scheme (6),
* l1-Gauss-Seidel or Jacobi (13 14 18 8),
* Chebyshev smoothers (16),
* two-stage Gauss-Seidel smoothers (11 12) [BKRHSMTY2021]_,
* hybrid block and Schwarz smoothers [Yang2004]_,
* Incomplete LU factorization, see :ref:`ilu-amg-smoother`.
* Factorized Sparse Approximate Inverse (FSAI), see :ref:`fsai-amg-smoother`.
@ -144,6 +147,19 @@ used. Functions that enable the user to access the systems AMG version are
``HYPRE_BoomerAMGSetNumFunctions``, ``HYPRE_BoomerAMGSetDofFunc`` and
``HYPRE_BoomerAMGSetNodal``.
There are basically two approaches to deal with matrices derived from systems
of PDEs. The unknown-based approach (which is the default) treats variables
corresponding to the same unknown or function separately, i.e., when coarsening
or generating interpolation, connections between variables associated with
different unknowns are ignored. This can work well for weakly coupled PDEs,
but will be problematic for strongly coupled PDEs. For such problems, we recommend
to use hypre's multigrid reduction (MGR) solver. The second approach, called
the nodal approach, considers all unknowns at a physical grid point together
such that coarsening, interpolation and relaxation occur in a point-wise fashion.
It is possible and sometimes prefered to combine nodal coarsening with unknown-based
interpolation. For this case, ``HYPRE_BoomerAMGSetNodal`` should be set > 1.
For details see the reference manual.
If the user can provide the near null-space vectors, such as the rigid body
modes for linear elasticity problems, an interpolation is available that will
incorporate these vectors with ``HYPRE_BoomerAMGSetInterpVectors`` and
@ -178,8 +194,25 @@ The currently available GPU-supported BoomerAMG options include:
* Interpolation: direct (3), BAMG-direct (15), extended (14), extended+i (6) and extended+e (18)
* Aggressive coarsening
* Second-stage interpolation with aggressive coarsening: extended (5) and extended+e (7)
* Smoother: Jacobi (7), l1-Jacobi (18), hybrid Gauss Seidel/SRROR (3 4 6), two-stage Gauss-Seidel (11,12) [BKRHSMTY2021]_
* Relaxation order: must be 0, i.e., lexicographic order
* Smoother: Jacobi (7), l1-Jacobi (18), hybrid Gauss Seidel/SSOR (3 4 6), two-stage Gauss-Seidel (11,12) [BKRHSMTY2021]_, and Chebyshev (16)
* Relaxation order can be 0, lexicographic order, or C/F for (7) and (18)
Memory locations and execution policies
------------------------------------------------------------------------------
Hypre provides two user-level memory locations, ``HYPRE_MEMORY_HOST`` and ``HYPRE_MEMORY_DEVICE``, where
``HYPRE_MEMORY_HOST`` is always the CPU memory while ``HYPRE_MEMORY_DEVICE`` can be mapped to different memory spaces
based on the configure options of hypre.
When built with ``--with-cuda``, ``--with-hip``, ``--with-sycl``, or ``--with-device-openmp``,
``HYPRE_MEMORY_DEVICE`` is the GPU device memory,
and when built additionally with ``--enable-unified-memory``, it is the GPU unified memory (UM).
For a non-GPU build, ``HYPRE_MEMORY_DEVICE`` is also mapped to the CPU memory.
The default memory location of hypre's matrix and vector objects is ``HYPRE_MEMORY_DEVICE``,
which can be changed at runtime by ``HYPRE_SetMemoryLocation(...)``.
The execution policies define the platform of running computations based on the memory locations of participating objects.
The default policy is ``HYPRE_EXEC_HOST``, i.e., executing on the host **if the objects are accessible from the host**.
It can be adjusted by ``HYPRE_SetExecutionPolicy(...)``.
Clearly, this policy only affects objects in UM, since UM is accessible from **both CPUs and GPUs**.
A sample code of setting up IJ matrix :math:`A` and solve :math:`Ax=b` using AMG-preconditioned CG
on GPUs is shown below.
@ -249,8 +282,6 @@ For best performance, it might be necessary to set certain parameters, which
will affect both coarsening and interpolation. One important parameter is the
strong threshold, which can be set using the function
``HYPRE_BoomerAMGSetStrongThreshold``. The default value is 0.25, which appears
to be a good choice for 2-dimensional problems and the low complexity coarsening
algorithms. For 3-dimensional problems a better choice appears to be 0.5, when
using the default coarsening algorithm. However, the choice of the strength
threshold is problem dependent and therefore there could be better choices than
the two suggested ones.
to be a good choice for diffusion problems. The choice of the strength
threshold is problem dependent. For example, elasticity problems often require a larger
strength threshold.

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@ -9,6 +9,12 @@
FEI Solvers
==============================================================================
.. warning::
FEI is not actively supported by the hypre development team. For similar
functionality, we recommend using :ref:`sec-Block-Structured-Grids-FEM`, which
allows the representation of block-structured grid problems via hypre's
SStruct interface.
After the FEI has been used to assemble the global linear system (as described
in Chapter :ref:`ch-FEI`), a number of hypre solvers can be called to perform
the solution. This is straightforward, if hypre's FEI has been used. If an

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@ -3,6 +3,7 @@
SPDX-License-Identifier: (Apache-2.0 OR MIT)
.. _fsai:
FSAI
==============================================================================

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@ -7,6 +7,11 @@
ParaSails
==============================================================================
.. warning::
ParaSails is not actively supported by the hypre development team. We recommend using
:ref:`fsai` for parallel sparse approximate inverse algorithms. This new implementation
includes NVIDIA/AMD GPU support through the CUDA/HIP backends.
ParaSails is a parallel implementation of a sparse approximate inverse
preconditioner, using *a priori* sparsity patterns and least-squares (Frobenius
norm) minimization. Symmetric positive definite (SPD) problems are handled
@ -119,4 +124,3 @@ latter may be guaranteed by 1) constructing the sparsity pattern with a
symmetric matrix, or 2) if the matrix is structurally symmetric (has symmetric
pattern), then thresholding to construct the pattern is not used (i.e., zero
value of the ``thresh`` parameter is used).

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src/parcsr_ls/HYPRE_parcsr_ls.h
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@ -1280,7 +1280,7 @@ HYPRE_Int HYPRE_BoomerAMGSetPrintLevel(HYPRE_Solver solver,
/**
* (Optional) Requests additional computations for diagnostic and similar
* data to be logged by the user. Default to 0 for do nothing. The latest
* data to be logged by the user. Default to 0 to do nothing. The latest
* residual will be available if logging > 1.
**/
HYPRE_Int HYPRE_BoomerAMGSetLogging(HYPRE_Solver solver,
@ -4059,7 +4059,7 @@ HYPRE_MGRSetReservedCpointsLevelToKeep( HYPRE_Solver solver, HYPRE_Int level);
* Currently supports the following flavors of relaxation types
* as described in the \e BoomerAMGSetRelaxType:
* \e relax_type 0, 3 - 8, 13, 14, 18. Also supports AMG (options 1 and 2)
* and direct solver variants (9, 99, 199). See HYPRE_MGRSetLevelFRelaxType for details.
* and direct solver variants (9, 99, 199). See \e HYPRE_MGRSetLevelFRelaxType for details.
**/
HYPRE_Int
HYPRE_MGRSetRelaxType(HYPRE_Solver solver,
@ -4072,7 +4072,7 @@ HYPRE_MGRSetRelaxType(HYPRE_Solver solver,
* - 0 : Single-level relaxation sweeps for F-relaxation as prescribed by \e MGRSetRelaxType
* - 1 : Multi-level relaxation strategy for F-relaxation (V(1,0) cycle currently supported).
*
* NOTE: This function will be removed in favor of /e HYPRE_MGRSetLevelFRelaxType!!
* NOTE: This function will be removed in favor of \e HYPRE_MGRSetLevelFRelaxType!!
**/
HYPRE_Int
HYPRE_MGRSetFRelaxMethod(HYPRE_Solver solver,
@ -4148,7 +4148,7 @@ HYPRE_MGRSetRestrictType( HYPRE_Solver solver,
HYPRE_Int restrict_type);
/**
* (Optional) This function is an extension of HYPRE_MGRSetRestrictType. It allows setting
* (Optional) This function is an extension of \e HYPRE_MGRSetRestrictType. It allows setting
* the restriction operator strategy for each MGR level.
**/
HYPRE_Int
@ -4182,7 +4182,7 @@ HYPRE_MGRSetInterpType( HYPRE_Solver solver,
HYPRE_Int interp_type );
/**
* (Optional) This function is an extension of HYPRE_MGRSetInterpType. It allows setting
* (Optional) This function is an extension of \e HYPRE_MGRSetInterpType. It allows setting
* the prolongation (interpolation) operator strategy for each MGR level.
**/
HYPRE_Int
@ -4198,7 +4198,7 @@ HYPRE_MGRSetNumRelaxSweeps( HYPRE_Solver solver,
HYPRE_Int nsweeps );
/**
* (Optional) This function is an extension of HYPRE_MGRSetNumRelaxSweeps. It allows setting
* (Optional) This function is an extension of \e HYPRE_MGRSetNumRelaxSweeps. It allows setting
* the number of single-level relaxation sweeps for each MGR level.
**/
HYPRE_Int
@ -4287,10 +4287,8 @@ HYPRE_MGRSetCoarseGridPrintLevel( HYPRE_Solver solver,
HYPRE_Int print_level );
/**
* (Optional) Set the threshold to compress the coarse grid at each level
* Use threshold = 0.0 if no truncation is applied. Otherwise, set the threshold
* value for dropping entries for the coarse grid.
* The default is 0.0.
* (Optional) Set the threshold for dropping small entries on the coarse grid at each level.
* No dropping is applied if \e threshold = 0.0 (default).
**/
HYPRE_Int
HYPRE_MGRSetTruncateCoarseGridThreshold( HYPRE_Solver solver,
@ -4299,7 +4297,7 @@ HYPRE_MGRSetTruncateCoarseGridThreshold( HYPRE_Solver solver,
/**
* (Optional) Requests logging of solver diagnostics.
* Requests additional computations for diagnostic and similar
* data to be logged by the user. Default to 0 for do nothing. The latest
* data to be logged by the user. Default is 0, do nothing. The latest
* residual will be available if logging > 1.
**/
HYPRE_Int
@ -4338,8 +4336,8 @@ HYPRE_Int
HYPRE_MGRSetLevelSmoothIters( HYPRE_Solver solver,
HYPRE_Int *smooth_iters );
/**
* (Optional) Set the smoothing order for global smoothing at each level.
* Options for \e level_smooth_order are:
* (Optional) Set the cycle for global smoothing.
* Options for \e global_smooth_cycle are:
* - 1 : Pre-smoothing - Down cycle (default)
* - 2 : Post-smoothing - Up cycle
**/

4
src/parcsr_ls/HYPRE_parcsr_mgr.c
View File

@ -533,9 +533,9 @@ HYPRE_MGRSetLevelSmoothIters( HYPRE_Solver solver,
* HYPRE_MGRSetGlobalsmoothType
*--------------------------------------------------------------------------*/
HYPRE_Int
HYPRE_MGRSetGlobalSmoothType( HYPRE_Solver solver, HYPRE_Int iter_type )
HYPRE_MGRSetGlobalSmoothType( HYPRE_Solver solver, HYPRE_Int smooth_type )
{
return hypre_MGRSetGlobalSmoothType(solver, iter_type);
return hypre_MGRSetGlobalSmoothType(solver, smooth_type);
}
/*--------------------------------------------------------------------------
* HYPRE_MGRSetLevelsmoothType