The great renaming:

- CHKERRQ() -> PetscCall()
- CHKERRV() -> PetscCallVoid()
- CHKERRMPI() -> PetscCallMPI()
- CHKERRABORT() -> PetscCallAbort()
- CHKERRCONTINUE() -> PetscCallContinue()
- CHKERRXX

The great renaming:

- CHKERRQ() -> PetscCall()
- CHKERRV() -> PetscCallVoid()
- CHKERRMPI() -> PetscCallMPI()
- CHKERRABORT() -> PetscCallAbort()
- CHKERRCONTINUE() -> PetscCallContinue()
- CHKERRXX() -> PetscCallThrow()
- CHKERRCXX() -> PetscCallCXX()
- CHKERRCUDA() -> PetscCallCUDA()
- CHKERRCUBLAS() -> PetscCallCUBLAS()
- CHKERRCUSPARSE() -> PetscCallCUSPARSE()
- CHKERRCUSOLVER() -> PetscCallCUSOLVER()
- CHKERRCUFFT() -> PetscCallCUFFT()
- CHKERRCURAND() -> PetscCallCURAND()
- CHKERRHIP() -> PetscCallHIP()
- CHKERRHIPBLAS() -> PetscCallHIPBLAS()
- CHKERRHIPSOLVER() -> PetscCallHIPSOLVER()
- CHKERRQ_CEED() -> PetscCallCEED()
- CHKERR_FORTRAN_VOID_FUNCTION() -> PetscCallFortranVoidFunction()
- CHKERRMKL() -> PetscCallMKL()
- CHKERRMMG() -> PetscCallMMG()
- CHKERRMMG_NONSTANDARD() -> PetscCallMMG_NONSTANDARD()
- CHKERRCGNS() -> PetscCallCGNS()
- CHKERRPTSCOTCH() -> PetscCallPTSCOTCH()
- CHKERRSTR() -> PetscCallSTR()
- CHKERRTC() -> PetscCallTC()

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chkerr and friends wrapped

Merge branch 'stefanozampini/hara-to-h2opus-rebased-v7' into 'main'

Update distributed hierarchical matrix package H2Opus

See merge request petsc/petsc!4347

Update H2 package

Merge branch 'jolivet/feature-download-htool' into 'main'

Add MATHTOOL

See merge request petsc/petsc!3857

Add MATHTOOL

Merge branch 'jczhang/mat-vec-kokkos' into 'master'

Add vec Kokkos and mat Kokkos

See merge request petsc/petsc!3219

Add MATAIJKOKKOS

Merge branch 'jczhang/support-cuda-11' into 'master'

Add support of CUDA-11

See merge request petsc/petsc!3207

Revert "CUDA: Get PETSc to compile with CUDA 11."

This reverts commit 21a6055d1ede0202436f221d06f48a7b9836052d.

Merge branch 'karlrupp/fix-cuda-11-compilation' into 'master'

CUDA: Get PETSc to compile with CUDA 11.

See merge request petsc/petsc!3154

CUDA: Get PETSc to compile with CUDA 11.

CUSPARSE has changed significantly in CUDA 11.
This has lead to a lot of broken code.
This commit disables the AIJCUSPARSE class so that PETSc at least compi

CUDA: Get PETSc to compile with CUDA 11.

CUSPARSE has changed significantly in CUDA 11.
This has lead to a lot of broken code.
This commit disables the AIJCUSPARSE class so that PETSc at least compiles with other GPU features enabled.

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Merge branch 'jose/scalapack' into 'master'

MATSCALAPACK: new Mat type that wraps a ScaLAPACK matrix

See merge request petsc/petsc!2858

MATSCALAPACK: new Mat type that wraps a ScaLAPACK matrix

Minor fixes to MATELEMENTAL

Merge branch 'stefanozampini/feature-add-hpackages-rebased' into 'master'

Fixes to MatProduct + many bug fixes + new hierarchical matrix support

See merge request petsc/petsc!2800

MATHARA: matrix class for hierarchical matrices

supports CPU and GPU matrices
distributed support limited to matrix generation and matmult (no transpose)

MATMPIDENSE: support CUDA

MatSeqDense: add support to check for symmetricity

Add array accessors routines

fix MatSetRandom for leading dimension

Use PetscSF for MatMult
- uses the right communica

MATMPIDENSE: support CUDA

MatSeqDense: add support to check for symmetricity

Add array accessors routines

fix MatSetRandom for leading dimension

Use PetscSF for MatMult
- uses the right communication pattern instead of point-to-point
- can take advantage of CUDA aware MPI

Fix bugs related with LDA
Fix direct usage of cpu memory: use MatDenseGetArray (and variants) instead
Fix MatZeroRows
Fix MatView in Binary for SeqDense

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Merge branch 'stefano_zampini/GPU-matdensecuda' [PR #1911]

* stefano_zampini/GPU-matdensecuda:
GPU: Initial implementation for SeqDense class on GPUs.

Merge branch 'rmills/mat-kaij' [PR #1621]

* rmills/mat-kaij:
Getting the KAIJ matrix class integrated into petsc-master.

Added MATSEQDENSECUDA

MATKAIJ: Matrix format for I ⊗ S + J ⊗ T; S,T small and dense, J sparse

This is a generalization of MatMAIJ. The implementation provides
MatMult, MatMultAdd, MatSOR, and InvertBlockDiagonal.

Helpe

MATKAIJ: Matrix format for I ⊗ S + J ⊗ T; S,T small and dense, J sparse

This is a generalization of MatMAIJ. The implementation provides
MatMult, MatMultAdd, MatSOR, and InvertBlockDiagonal.

Helped-by: Jed Brown <jed@jedbrown.org>

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Merge branch 'barry/no-batch-script'

No more batch submission script; this is all due to a very smart idea of Lisandro Dalcin

*) removed or fixed all remaining --know-xx options that required a batch submission script
*) removed all de

No more batch submission script; this is all due to a very smart idea of Lisandro Dalcin

*) removed or fixed all remaining --know-xx options that required a batch submission script
*) removed all details of --known-size-- that are no longer needed
*) cleaned up BAIJMKL source code, made it work with the rest of PETSc and removed is
dependence on a batch submission script, added test case for BAIJMKL
*) update the installation guide on batsch submissions and OpenMP
*) print MKL version, print OpenMP usage with mkl_sparse options

Commit-type: bug-fix, portability-fix, style-fix, feature, documentation, example
Thanks-to: Lisandro Dalcin <dalcinl@gmail.com>

$ ./configure --with-batch
===============================================================================
Configuring PETSc to compile on your system
===============================================================================
=============================================================================== ***** WARNING: Cannot determine if MPI_INT64_T works on your system in batch-mode! Assuming it does work. Run with --known-mpi-int64_t=0 if you know it does not work (very unlikely). Run with --known-mpi-int64_t=1 to remove this warning message. warning message ***** =============================================================================== =============================================================================== ***** WARNING: Cannot determine if MPI_C_DOUBLE_COMPLEX works on your system in batch-mode! Assuming it does work. Run with --known-mpi-c-double-complex=0 if you know it does not work (very unlikely). Run with --known-mpi-c-double-complex=1 to remove this warning message. warning message ***** =============================================================================== =============================================================================== ***** WARNING: Cannot verify that MPI is a shared library - in batch-mode! If MPI is a static library but linked into multiple shared libraries that the application uses, sometimes compiles work - but one might get run-time errors. If you know that the MPI library is shared - run with --known-mpi-shared-libraries=1 option to remove this warning message ***** =============================================================================== =============================================================================== ***** WARNING: Cannot determine if BLAS/LAPACK uses 32 bit or 64 bit integers in batch-mode! Assuming 32 bit integers. Run with --known-64-bit-blas-indices if you know they are 64 bit. Run with --known-64-bit-blas-indices=0 to remove this warning message. warning message ***** ===============================================================================

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Merged in psanan/man-pages-remove-keywords (pull request #1717)

Man pages: Remove .keywords fields

Approved-by: BarryFSmith <bsmith@mcs.anl.gov>