* [geant4] new version 11.0.0
* [geant4] prefer 10.7.3 for now
* [vecgeom] new version 1.1.18
* [clhep] new version 2.4.5.1
* [g4emlow] new version 8.0
* [g4particlexs] new version 4.p
* [geant4-data] new version 11.0.0
* [geant4] @11.0.0: cxxstd=17: ^clhep@2.4.5.1: ^vecgeom@1.1.18:
* [geant4] depends_on cmake@3.16:
* [geant4-data] remove g4tendl comment
* [g4tendl] new version 1.4
* [geant4] default cxxstd=11 when @10, 17 when @11; use CMAKE_CXX_STANDARD
* [geant4] variant tbb whe @11:, depends_on tbb, sets GEANT4_USE_TBB
* [geant4] new variant vtk when @11:, depends_on vtk@8.2:
* [geant4] simplify GEANT4_USE_VTK with define_from_variant
* [geant4] remove variant cxxstd conditional again
* [geant4] flake8 space after comma
* What's new in AOCL 3.1
1) AMD BLIS:
1.a) Supports Dynamic Dispatch and AOCL Dynamic feature
1.b) Improvements in DGEMM, ZGEMM, DTRSM, DSYRK, xGEMV, and DOTV
2) AMD libFLAME:
2.a) Supports LAPACK 3.10.0 specification
2.b) Optimized factorization and ZGEEV routines
3) AMD FFTW:
3.a) Features like 'AMD application optimization layer', 'Fast MPI transpose algorithm' and 'Top N planner' are added
4) AMD LibM:
4.a) Optimized exp2, log2 (Single and Double precision) scalar and vector
4.b) Optimized log10f (scalar and vector) and powf vector variants to support WRF4.1.2 benchmark
5) AOCL-Sparse:
5.a) New API for sparse matrix and dense matrix multiplication
6) AMD ScaLAPACK:
6.a) ILP64 support has been enabled
7) AOCL enabled MUMPS library:
7.a) CMake based build system on Windows for AOCL enabled MUMPS sparse solver library will be available shortly on GitHub
7.a.i) Refer https://github.com/amd/mumps-build
7.b) Spack-based recipe on Linux for AOCL enabled MUMPS sparse solver library will be enabled shortly
* Fix invalid version range error
* Incorporated review comments
1) Restore to previous url value
2) Instead of if else statements, used spack's enable_or_disable feature
* Incorporated following review comments:
1. Use of satisfies() for spec checks
2. Seperate conflict statements to check for minimum and maximum GCC versions
3. Used CMakePackage helpers
4. Code rearrangement to have the directives listed before methods
* New package: py-xrootdpyfs
* Add old version of py-fs
* Replace 2to3.patch with running 2to3
* Just restriuct setuptools version
* Update var/spack/repos/builtin/packages/py-fs/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* suite-sparse: Fix check for +/- tbb variant
Changed
'tbb' in spec
to
'+tbb' in spec
The former would configure suite-sparse to use tbb if any dependency
package (e.g. intel-oneapi-mkl) depends on tbb, even if
suite-sparse~tbb was specified.
* suite-sparse: conflict when trying to use 2021.x versions of tbb
See https://github.com/DrTimothyAldenDavis/SuiteSparse/issues/72
suite-sparse depends on task_schedule_init to control the number
of threads when e.g. interfacing with MATLAB. However, Intel
dropped task_schedule_init in the 2021.x releases of TBB (it has
been deprecated since TBB 4.3.5).
We just raise a spack conflict when using tbb @2021.x and +tbb
Because tbb is a virtual package and is not versioned, I have
instead checked for either intel-oneapi-tbb@2021: or
intel-tbb@2021:, not the most elegant but should do the job
* suite-sparse: fix style issues
* Added installation of OpenMP as an option
* Added a softlink (dpcpp) to clang++ to
mimic the packaged version of dpcpp
Co-authored-by: ravil <ravil.dorozhinskii@tum.de>
* Update hdf5/package.py to add HDF5 1.10.8 release and move
preferred version from 1.10.7 to 1.10.8.
* silo: versions before 4.11 conflict with hdf5 >= 1.10.8.
* Add patch file for silo@4.11 with hdf5 1.10 >=1.10.8 and
hdf5 1.12 >= 1.12.1.
