E4S Distribution via spack.yaml
23.05
E4S 23.05 is based on Spack branch e4s-23.05.
CUDA x86-64
spack:
view: false
concretizer:
reuse: false
unify: false
packages:
all:
require: '%gcc@11.1.0'
providers:
blas: [openblas]
mpi: [mpich]
target: [x86_64]
variants: +mpi
binutils:
variants: +ld +gold +headers +libiberty ~nls
elfutils:
variants: +bzip2 ~nls +xz
hdf5:
variants: +fortran +hl +shared
libfabric:
variants: fabrics=sockets,tcp,udp,rxm
libunwind:
variants: +pic +xz
openblas:
variants: threads=openmp
trilinos:
variants: +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext
+ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu
+nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos
+teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
xz:
variants: +pic
mesa:
version: [21.3.8]
mpich:
require: '@4.1.1 ~wrapperrpath ~hwloc'
ncurses:
require: '@6.3 +termlib'
python:
require: '@3.7.15'
tbb:
require: intel-tbb
cuda:
require: '@11.8.0'
boost:
version: [1.79.0]
variants: +atomic +chrono +container +date_time +exception +filesystem +graph
+iostreams +locale +log +math +mpi +multithreaded +program_options +random
+regex +serialization +shared +signals +stacktrace +system +test +thread +timer
cxxstd=17 visibility=global
libffi:
require: "@3.4.4"
vtk-m:
require: "+examples"
compilers:
- compiler:
spec: gcc@11.1.0
paths:
cc: /usr/bin/gcc
cxx: /usr/bin/g++
f77: /usr/bin/gfortran
fc: /usr/bin/gfortran
flags: {}
operating_system: ubuntu20.04
target: x86_64
modules: []
environment: {}
extra_rpaths: []
modules:
prefix_inspections:
lib: [LD_LIBRARY_PATH]
lib64: [LD_LIBRARY_PATH]
default:
'enable:': [lmod]
lmod:
core_compilers: [gcc@11.1.0]
verbose: true
hash_length: 4
hierarchy: [mpi]
projections: {}
core_specs: []
exclude_implicits: false
include:
- autoconf
- automake
- cmake
- mpich
- ninja
all:
autoload: direct
environment:
set:
'{name}_ROOT': '{PREFIX}'
suffixes:
+cuda cuda_arch=70: cuda70
+cuda cuda_arch=80: cuda80
+cuda cuda_arch=90: cuda90
+rocm amdgpu_target=gfx908: gfx908
+rocm amdgpu_target=gfx90a: gfx90a
+openmp: openmp
cabana:
suffixes:
+rocm: rocm
^kokkos +rocm amdgpu_target=gfx90a: gfx90a
^kokkos +rocm amdgpu_target=gfx908: gfx908
^kokkos +cuda cuda_arch=70: cuda70
^kokkos +cuda cuda_arch=80: cuda80
^kokkos +cuda cuda_arch=90: cuda90
tau:
suffixes:
+rocm: rocm
+cuda: cuda
hpctoolkit:
suffixes:
+rocm: rocm
+cuda: cuda
bricks:
suffixes:
+rocm: rocm
+cuda: cuda
flux-core:
suffixes:
+rocm: rocm
+cuda: cuda
papi:
suffixes:
+rocm: rocm
+cuda: cuda
adios2:
suffixes:
~cuda+hdf5: hdf5
~rocm+hdf5: hdf5
py-warpx:
suffixes:
^warpx dims=2: dims2
^warpx dims=3: dims3
^warpx dims=rz: dimsRZ
warpx:
suffixes:
dims=2: dims2
dims=3: dims3
dims=rz: dimsRZ
specs:
# CPU
- adios
- alquimia
- aml
- amrex
- arborx
- archer # included in llvm +libomp_tsan
- argobots
- axom
- bolt
- boost
- bricks ~cuda
- butterflypack
- cabana
- caliper
- chai ~benchmarks ~tests
- charliecloud
- conduit
- datatransferkit
- dyninst
- ecp-data-vis-sdk ~cuda ~rocm +adios2 +ascent +cinema +darshan +faodel +hdf5 +paraview +pnetcdf +sz +unifyfs +veloc +visit +vtkm +zfp # adios2~cuda, ascent~cuda, darshan-runtime, darshan-util, faodel, hdf5, libcatalyst, parallel-netcdf, paraview~cuda, py-cinemasci, sz, unifyfs, veloc, visit, vtk-m, zfp
- exaworks
- flecsi@2.1.0
- flit
- flux-core
- fortrilinos
- gasnet
- ginkgo
- globalarrays
- gmp
- gotcha
- gptune ~mpispawn
- h5bench
- hdf5-vol-async
- hdf5-vol-cache
- hdf5-vol-log
- heffte +fftw
- hpctoolkit
- hpx networking=mpi
- hypre
- kokkos +openmp
- kokkos-kernels +openmp
- lammps
- lbann
- legion
- libnrm
- libpressio +bitgrooming +bzip2 ~cuda ~cusz +fpzip +hdf5 +libdistributed +lua +openmp +python +sz +sz3 +unix +zfp
- libquo
- libunwind
- loki
- mercury
- metall
- mfem
- mgard +serial +openmp +timing +unstructured ~cuda
- mpark-variant
- mpifileutils ~xattr
- nccmp
- nco
- netlib-scalapack
- nrm
- nvhpc
- omega-h
- openfoam
- openmpi
- openpmd-api
- papi
- papyrus
- parsec ~cuda
- pdt
- petsc
- phist
- plasma
- plumed
- precice
- pumi
- py-h5py
- py-jupyterhub
- py-libensemble
- py-petsc4py
- py-warpx ^warpx dims=2
- py-warpx ^warpx dims=3
- py-warpx ^warpx dims=rz
- qthreads scheduler=distrib
- quantum-espresso
- raja
- rempi
- scr
- slate ~cuda
- slepc
- stc
- strumpack ~slate
- sundials
- superlu
- superlu-dist
- swig@4.0.2-fortran
- sz3
- tasmanian
- tau +mpi +python
- trilinos@13.0.1 +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext +ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu +nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos +teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
- turbine
- umap
- umpire
- upcxx
- variorum
- wannier90
- xyce +mpi +shared +pymi +pymi_static_tpls ^trilinos~shylu
# INCLUDED IN ECP DAV CPU
# - adios2
# - ascent
# - darshan-runtime
# - darshan-util
# - faodel
# - hdf5
# - libcatalyst
# - parallel-netcdf
# - paraview
# - py-cinemasci
# - sz
# - unifyfs
# - veloc
# - visit
# - vtk-m
# - zfp
# --
# - dealii # dealii: https://github.com/spack/spack/issues/38789
# - geopm # geopm: https://github.com/spack/spack/issues/38795
# - pruners-ninja # pruners-ninja: https://github.com/spack/spack/issues/32112
# CUDA NOARCH
- bricks +cuda
- cabana +cuda ^kokkos +wrapper +cuda_lambda +cuda cuda_arch=80
- flux-core +cuda
- hpctoolkit +cuda
- papi +cuda
- tau +mpi +cuda
# --
# - legion +cuda # legion: needs NVIDIA driver
# CUDA 80
- amrex +cuda cuda_arch=80
- arborx +cuda cuda_arch=80 ^kokkos +wrapper
- caliper +cuda cuda_arch=80
- chai ~benchmarks ~tests +cuda cuda_arch=80 ^umpire ~shared
- cusz +cuda cuda_arch=80
- dealii +cuda cuda_arch=80
- ecp-data-vis-sdk ~rocm +adios2 ~ascent +hdf5 +vtkm +zfp +paraview +cuda cuda_arch=80 # +ascent fails because fides fetch error
- flecsi@2.1.0 +cuda cuda_arch=80
- ginkgo +cuda cuda_arch=80
- heffte +cuda cuda_arch=80
- hpx +cuda cuda_arch=80
- hypre +cuda cuda_arch=80
- kokkos +wrapper +cuda cuda_arch=80
- kokkos-kernels +cuda cuda_arch=80 ^kokkos +wrapper +cuda cuda_arch=80
- magma +cuda cuda_arch=80
- mfem +cuda cuda_arch=80
- mgard +serial +openmp +timing +unstructured +cuda cuda_arch=80
- omega-h +cuda cuda_arch=80
- parsec +cuda cuda_arch=80
- petsc +cuda cuda_arch=80
- py-torch +cuda cuda_arch=80
- raja +cuda cuda_arch=80
- slate +cuda cuda_arch=80
- slepc +cuda cuda_arch=80
- strumpack ~slate +cuda cuda_arch=80
- sundials +cuda cuda_arch=80
- superlu-dist +cuda cuda_arch=80
- tasmanian +cuda cuda_arch=80
- "trilinos@13.4.1: +cuda cuda_arch=80"
- umpire ~shared +cuda cuda_arch=80
# INCLUDED IN ECP DAV CUDA
# - adios2 +cuda cuda_arch=80
# - ascent +cuda cuda_arch=80
# - paraview +cuda cuda_arch=80
# - vtk-m +cuda cuda_arch=80
# - zfp +cuda cuda_arch=80
# --
# - axom +cuda cuda_arch=80 # axom: https://github.com/spack/spack/issues/29520
# - lammps +cuda cuda_arch=80 # lammps: needs NVIDIA driver
# - lbann +cuda cuda_arch=80 # lbann: https://github.com/spack/spack/issues/38788
# - libpressio +bitgrooming +bzip2 +fpzip +hdf5 +libdistributed +lua +openmp +python +sz +sz3 +unix +zfp +json +remote +netcdf +cusz +mgard +cuda cuda_arch=80 ^cusz +cuda cuda_arch=80 # libpressio: https://github.com/spack/spack/pull/34222#issuecomment-1430459365
# - upcxx +cuda cuda_arch=80 # upcxx: needs NVIDIA driver
# CUDA 90
- arborx +cuda cuda_arch=90 ^kokkos +wrapper
- caliper +cuda cuda_arch=90
- chai ~benchmarks ~tests +cuda cuda_arch=90 ^umpire ~shared
- cusz +cuda cuda_arch=90
- dealii +cuda cuda_arch=90
- flecsi@2.1.0 +cuda cuda_arch=90
- ginkgo +cuda cuda_arch=90
- heffte +cuda cuda_arch=90
- hpx +cuda cuda_arch=90
- hypre +cuda cuda_arch=90
- kokkos +wrapper +cuda cuda_arch=90
- magma +cuda cuda_arch=90
- mfem +cuda cuda_arch=90
- omega-h +cuda cuda_arch=90
- parsec +cuda cuda_arch=90
- petsc +cuda cuda_arch=90
- py-torch +cuda cuda_arch=90
- raja +cuda cuda_arch=90
- slate +cuda cuda_arch=90
- slepc +cuda cuda_arch=90
- strumpack ~slate +cuda cuda_arch=90
- sundials +cuda cuda_arch=90
- superlu-dist +cuda cuda_arch=90
- tasmanian +cuda cuda_arch=90
- "trilinos@13.4.1: +cuda cuda_arch=90"
- umpire ~shared +cuda cuda_arch=90
# INCLUDED IN ECP DAV CUDA
# - adios2 +cuda cuda_arch=90
# - ascent +cuda cuda_arch=90
# - paraview +cuda cuda_arch=90
# - vtk-m +cuda cuda_arch=90
# - zfp +cuda cuda_arch=90
# --
# - amrex +cuda cuda_arch=90 # amrex: https://github.com/spack/spack/issues/38556
# - axom +cuda cuda_arch=90 # axom: https://github.com/spack/spack/issues/29520
# - ecp-data-vis-sdk ~rocm +adios2 +ascent +hdf5 +vtkm +zfp +paraview +cuda cuda_arch=90 # vtk-m: https://github.com/spack/spack/issues/38560
# - kokkos-kernels +cuda cuda_arch=90 ^kokkos +wrapper +cuda cuda_arch=90 # kokkos@3.7.00 cuda_arch=90: CMake Error at cmake/kokkos_arch.cmake:776 (MESSAGE): CUDA enabled but no NVIDIA GPU architecture currently enabled and auto-detection failed. Please give one -DKokkos_ARCH_{..}=ON' to enable an NVIDIA GPU architecture.
# - lammps +cuda cuda_arch=90 # lammps: needs NVIDIA driver
# - lbann +cuda cuda_arch=90 # lbann: https://github.com/spack/spack/issues/38788
# - libpressio +bitgrooming +bzip2 +fpzip +hdf5 +libdistributed +lua +openmp +python +sz +sz3 +unix +zfp +json +remote +netcdf +cusz +mgard +cuda cuda_arch=90 ^cusz +cuda cuda_arch=90 # libpressio: https://github.com/spack/spack/pull/34222#issuecomment-1430459365
# - mgard +serial +openmp +timing +unstructured +cuda cuda_arch=90 # mgard: https://github.com/spack/spack/issues/38558
# - upcxx +cuda cuda_arch=90 # upcxx: needs NVIDIA driver
23.02
E4S 23.02 is based on Spack branch e4s-23.02.
CUDA x86-64
spack:
view: false
concretizer:
reuse: false
unify: false
packages:
all:
require: "%gcc@11.1.0"
providers:
blas: [openblas]
mpi: [mpich]
target: [x86_64]
variants: +mpi
binutils:
variants: +ld +gold +headers +libiberty ~nls
elfutils:
variants: +bzip2 ~nls +xz
hdf5:
variants: +fortran +hl +shared
libfabric:
variants: fabrics=sockets,tcp,udp,rxm
libunwind:
variants: +pic +xz
openblas:
variants: threads=openmp
trilinos:
variants: +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext
+ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu
+nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos
+teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
xz:
variants: +pic
mesa:
version: [21.3.8]
mpich:
require: '@4.1 ~wrapperrpath ~hwloc'
ncurses:
require: '@6.3 +termlib'
python:
require: '@3.7.15'
tbb:
require: intel-tbb
cuda:
require: "@11.8.0"
compilers:
- compiler:
spec: gcc@11.1.0
paths:
cc: /usr/bin/gcc
cxx: /usr/bin/g++
f77: /usr/bin/gfortran
fc: /usr/bin/gfortran
flags: {}
operating_system: ubuntu20.04
target: x86_64
modules: []
environment: {}
extra_rpaths: []
modules:
prefix_inspections:
lib: [LD_LIBRARY_PATH]
lib64: [LD_LIBRARY_PATH]
default:
'enable:': [lmod]
lmod:
core_compilers: [gcc@11.1.0]
verbose: true
hash_length: 0
hierarchy: [mpi]
projections: {}
core_specs: []
exclude_implicits: true
include:
- autoconf
- automake
- cmake
- mpich
all:
autoload: direct
environment:
set:
${PACKAGE}_ROOT: ${PREFIX}
suffixes:
+cuda cuda_arch=70: cuda70
+cuda cuda_arch=80: cuda80
+cuda cuda_arch=90: cuda90
+openmp: openmp
cabana:
suffixes:
^kokkos +cuda cuda_arch=70: cuda70
^kokkos +cuda cuda_arch=80: cuda80
^kokkos +cuda cuda_arch=90: cuda90
tau:
suffixes:
+cuda: cuda
hpctoolkit:
suffixes:
+cuda: cuda
bricks:
suffixes:
+cuda: cuda
flux-core:
suffixes:
+cuda: cuda
papi:
suffixes:
+cuda: cuda
mpich:
suffixes:
^xz@5.2.6: xz5.2.6
adios2:
suffixes:
~cuda+hdf5: hdf5
py-warpx:
suffixes:
^warpx dims=2: dims2
^warpx dims=3: dims3
^warpx dims=rz: dimsRZ
specs:
# CPU
- adios
- alquimia
- aml
- amrex
- arborx
- archer
- argobots
- axom
- bolt
- bricks
- butterflypack
- cabana
- caliper
- chai ~benchmarks ~tests
- charliecloud
- conduit
- datatransferkit
- dyninst
- ecp-data-vis-sdk ~cuda ~rocm +adios2 +ascent +cinema +darshan +faodel +hdf5 +paraview +pnetcdf +sz +unifyfs +veloc +visit +vtkm +zfp # adios2~cuda, ascent~cuda, darshan-runtime, darshan-util, faodel, hdf5, libcatalyst, parallel-netcdf, paraview~cuda, py-cinemasci, sz, unifyfs, veloc, visit, vtk-m, zfp
- exaworks
- flecsi ^pfunit max_array_rank=5
- flit
- flux-core
- fortrilinos
- gasnet
- ginkgo
- globalarrays
- gmp
- gotcha
- gptune ~mpispawn
- h5bench
- hdf5-vol-async
- heffte +fftw
- hpctoolkit
- hpx networking=mpi
- hypre
- kokkos +openmp
- kokkos-kernels +openmp
- lammps
- legion
- libnrm
- libpressio +bitgrooming +bzip2 ~cuda ~cusz +fpzip +hdf5 +libdistributed +lua +openmp +python +sz +sz3 +unix +zfp
- libquo
- libunwind
- mercury
- metall
- mfem
- mpark-variant
- mpifileutils ~xattr
- nccmp
- nco
- netlib-scalapack
- nrm
- nvhpc
- omega-h
- openmpi
- openpmd-api
- papi
- papyrus
- parsec ~cuda
- pdt
- petsc
- phist
- plasma
- plumed
- precice
- pumi
- py-jupyterhub
- py-libensemble
- py-petsc4py
- py-warpx ^warpx dims=2
- py-warpx ^warpx dims=3
- py-warpx ^warpx dims=rz
- qthreads scheduler=distrib
- quantum-espresso
- raja
- scr
- slate ~cuda
- slepc
- stc
- strumpack ~slate
- sundials
- superlu
- superlu-dist
- swig
- swig@4.0.2-fortran
- tasmanian
- tau +mpi +python
- trilinos@13.0.1 +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext
+ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu
+nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos
+teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
- turbine
- umap
- umpire
- upcxx
- variorum
- wannier90
# CUDA NOARCH
- bricks +cuda
- flux-core +cuda
- hpctoolkit +cuda
- papi +cuda
- tau +mpi +cuda
# CUDA 80
- amrex +cuda cuda_arch=80
- arborx +cuda cuda_arch=80 ^kokkos +wrapper
- ascent +cuda cuda_arch=80
- cabana +cuda ^kokkos +wrapper +cuda_lambda +cuda cuda_arch=80
- caliper +cuda cuda_arch=80
- chai ~benchmarks ~tests +cuda cuda_arch=80 ^umpire ~shared
- dealii +cuda cuda_arch=80
- ecp-data-vis-sdk +adios2 +hdf5 +vtkm +zfp +paraview +cuda cuda_arch=80 # adios2, hdf5, hdf5-vfd-gds, paraview, vtk-m, zfp
- flecsi +cuda cuda_arch=80
- ginkgo +cuda cuda_arch=80
- heffte +cuda cuda_arch=80
- hpx +cuda cuda_arch=80
- hypre +cuda cuda_arch=80
- kokkos +wrapper +cuda cuda_arch=80
- kokkos-kernels +cuda cuda_arch=80 ^kokkos +wrapper +cuda cuda_arch=80
- magma +cuda cuda_arch=80
- mfem +cuda cuda_arch=80
- omega-h +cuda cuda_arch=80
- petsc +cuda cuda_arch=80
- py-torch +cuda cuda_arch=80
- raja +cuda cuda_arch=80
- slate +cuda cuda_arch=80
- slepc +cuda cuda_arch=80
- strumpack ~slate +cuda cuda_arch=80
- sundials +cuda cuda_arch=80
- superlu-dist +cuda cuda_arch=80
- tasmanian +cuda cuda_arch=80
- trilinos@13.4.1 +cuda cuda_arch=80
- umpire ~shared +cuda cuda_arch=80
# CUDA 90
- caliper +cuda cuda_arch=90
- chai ~benchmarks ~tests +cuda cuda_arch=90 ^umpire ~shared
- dealii +cuda cuda_arch=90
- flecsi +cuda cuda_arch=90
- ginkgo +cuda cuda_arch=90
- heffte +cuda cuda_arch=90
- hpx +cuda cuda_arch=90
- hypre +cuda cuda_arch=90
- mfem +cuda cuda_arch=90
- omega-h +cuda cuda_arch=90
- petsc +cuda cuda_arch=90
- py-torch +cuda cuda_arch=90
- raja +cuda cuda_arch=90
- slate +cuda cuda_arch=90
- slepc +cuda cuda_arch=90
- strumpack ~slate +cuda cuda_arch=90
- sundials +cuda cuda_arch=90
- superlu-dist +cuda cuda_arch=90
- tasmanian +cuda cuda_arch=90
- umpire ~shared +cuda cuda_arch=90
# IN ECP-DATA-VIS-SDK +CUDA
# - adios2 +cuda cuda_arch=80
# - adios2 +cuda cuda_arch=90
# - vtk-m +cuda cuda_arch=80
# - zfp +cuda cuda_arch=80
# - zfp +cuda cuda_arch=90
# CUDA 80 errors
# - libpressio +bitgrooming +bzip2 +fpzip +hdf5 +libdistributed +lua +openmp +python +sz +sz3 +unix +zfp +json +remote +netcdf +cusz +mgard +cuda cuda_arch=80 ^cusz +cuda cuda_arch=80 # libpressio
# --
# libpressio: libcuszhuff.so: undefined reference to `cuMemGetAddressRange_v2'
# CUDA 90 errors
# - amrex +cuda cuda_arch=90 # amrex
# - arborx +cuda cuda_arch=90 ^kokkos +wrapper # kokkos
# - ascent +cuda cuda_arch=90 # vtk-m@1.7.1
# - cabana +cuda ^kokkos +wrapper +cuda_lambda +cuda cuda_arch=90 # kokkos
# - ecp-data-vis-sdk +adios2 +hdf5 +vtkm +zfp +paraview +cuda cuda_arch=90 # vtk-m, paraview
# - kokkos +wrapper +cuda cuda_arch=90 # kokkos
# - kokkos-kernels +cuda cuda_arch=90 ^kokkos +wrapper +cuda cuda_arch=90 # kokkos
# - libpressio +bitgrooming +bzip2 +fpzip +hdf5 +libdistributed +lua +openmp +python +sz +sz3 +unix +zfp +json +remote +netcdf +cusz +mgard +cuda cuda_arch=90 ^cusz +cuda cuda_arch=90 # libpressio
# - magma +cuda cuda_arch=90 # magma
# - trilinos@13.4.1 +cuda cuda_arch=90 # trilinos
# - vtk-m +cuda cuda_arch=90 # vtk-m
# ---
# amrex: Segmentation fault (core dumped) - make[2]: *** [Src/CMakeFiles/amrex.dir/build.make:80: Src/CMakeFiles/amrex.dir/Base/AMReX_BlockMutex.cpp.o] Error 139:
# kokkos@3.7.00: kokkos: Executing phase: 'cmake': ==> Error: KeyError: '90': kokkos_arch_name = self.spack_cuda_arch_map[cuda_arch]
# libpressio: libcuszhuff.so: undefined reference to `cuMemGetAddressRange_v2'
# magma: CMake Error at CMakeLists.txt:277 (message): GPU_TARGET must contain one or more of Fermi, Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or valid sm_[0-9][0-9]
# paraview: raise InstallError("Incompatible cuda_arch=" + requested_arch[0])
# trilinos@13.4.1: trilinos: Executing phase: 'cmake': ==> Error: KeyError: '90': options.extend(define("Kokkos_ARCH_" + arch_map[arch].upper(), True) for arch in spec.variants["cuda_arch"].value)
# vtk-m: CMake Error at CMake/VTKmDeviceAdapters.cmake:216 (message): Error detecting architecture flags for CUDA. Please set VTKm_CUDA_Architecture manually.
# vtk-m@1.7.1: CMake Error at CMake/VTKmDeviceAdapters.cmake:197 (message): Error detecting architecture flags for CUDA. Please set VTKm_CUDA_Architecture manually.
22.11
E4S 22.11 is based on Spack branch e4s-22.11.
CUDA x86-64
spack:
view: false
concretizer:
reuse: false
unify: false
packages:
all:
compiler: [gcc@11.1.0]
providers:
blas: [openblas]
mpi: [mpich]
target: [x86_64]
variants: +mpi
tbb:
require: intel-tbb
binutils:
variants: +ld +gold +headers +libiberty ~nls
cuda:
version: [11.7.0]
elfutils:
variants: +bzip2 ~nls +xz
hdf5:
variants: +fortran +hl +shared
libfabric:
variants: fabrics=sockets,tcp,udp,rxm
libunwind:
variants: +pic +xz
openblas:
variants: threads=openmp
trilinos:
variants: +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext
+ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu
+nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos
+teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
xz:
variants: +pic
mesa:
version: [21.3.8]
mpich:
require: '@4.0.2 ~wrapperrpath ~hwloc'
ncurses:
require: '@6.3 +termlib'
python:
require: '@3.7.15'
compilers:
- compiler:
spec: gcc@11.1.0
paths:
cc: /usr/bin/gcc-11
cxx: /usr/bin/g++-11
f77: /usr/bin/gfortran-11
fc: /usr/bin/gfortran-11
flags: {}
operating_system: ubuntu20.04
target: x86_64
modules: []
environment: {}
extra_rpaths: []
modules:
prefix_inspections:
lib: [LD_LIBRARY_PATH]
lib64: [LD_LIBRARY_PATH]
default:
'enable:': [lmod]
lmod:
core_compilers: [gcc@11.1.0]
verbose: true
hash_length: 0
hierarchy: [mpi]
projections: {}
core_specs: []
exclude_implicits: true
include:
- adios2
- ascent
- autoconf
- automake
- cmake
- darshan-runtime
- darshan-util
- hdf5-vol-async
- mpich
- parallel-netcdf
- py-cinemasci
- sz
- unifyfs
- veloc
- vtk-m
- zfp
all:
autoload: direct
environment:
set:
${PACKAGE}_ROOT: ${PREFIX}
suffixes:
+cuda cuda_arch=70: cuda70
+cuda cuda_arch=80: cuda80
+openmp: openmp
cabana:
suffixes:
^kokkos +cuda cuda_arch=70: cuda70
^kokkos +cuda cuda_arch=80: cuda80
tau:
suffixes:
+cuda: cuda
hpctoolkit:
suffixes:
+cuda: cuda
bricks:
suffixes:
+cuda: cuda
flux-core:
suffixes:
+cuda: cuda
papi:
suffixes:
+cuda: cuda
mpich:
suffixes:
^xz@5.2.6: xz5.2.6
adios2:
suffixes:
~cuda+hdf5: hdf5
py-warpx:
suffixes:
^warpx dims=2: dims2
^warpx dims=3: dims3
^warpx dims=rz: dimsRZ
specs:
# CPU
- adios@1.13.1
- alquimia@1.0.10
- aml@0.2.0
- amrex@22.11
- arborx@1.3
- archer@2.0.0
- argobots@1.1
- axom@0.7.0
- bolt@2.0
- bricks@r0.1
- butterflypack@2.2.2
- cabana@0.5.0
- caliper@2.8.0
- chai@2022.03.0 ~benchmarks ~tests
- charliecloud@0.29
- conduit@0.8.4
- datatransferkit@3.1-rc3
- dyninst@12.2.0
- ecp-data-vis-sdk@1.0 ~cuda ~rocm +adios2 +ascent +cinema +darshan +faodel +hdf5 +paraview +pnetcdf +sz +unifyfs +veloc +visit +vtkm +zfp
- exaworks@0.1.0
- flecsi@1.4.2
- flit@2.1.0
- flux-core@0.44.0
- fortrilinos@2.1.0
- gasnet@2022.9.0
- ginkgo@1.4.0
- globalarrays@5.8
- gmp@6.2.1
- gotcha@1.0.4
- gptune@3.0.0
- h5bench@1.3
- hdf5-vol-async@1.3
- heffte@2.3.0 +fftw
- hpctoolkit@2022.10.01
- hpx@1.8.1 networking=mpi
- hypre@2.26.0
- kokkos@3.7.00 +openmp
- kokkos-kernels@3.7.00 +openmp
- lammps@20220623
- legion@21.03.0
- libnrm@0.1.0
- libpressio@0.88.0 +bitgrooming +bzip2 ~cuda ~cusz +fpzip +hdf5 +libdistributed +lua +openmp +python +sz +sz3 +unix +zfp +json +remote +netcdf
- libquo@1.3.1
- libunwind@1.6.2
- mercury@2.1.0
- metall@0.21
- mfem@4.5.0
- mpark-variant@1.4.0
- mpifileutils@0.11.1 ~xattr
- nccmp@1.9.0.1
- nco@5.0.1
- netlib-scalapack@2.2.0
- nrm@0.1.0
- nvhpc@22.9
- omega-h@9.34.13
- openmpi@4.1.4
- openpmd-api@0.14.5
- papi@6.0.0.1
- papyrus@1.0.2
- parsec@3.0.2209 ~cuda
- pdt@3.25.1
- petsc@3.18.1
- phist@1.11.2
- plasma@22.9.29
- plumed@2.8.0
- precice@2.5.0
- pumi@2.2.7
- py-jupyterhub@1.4.1
- py-libensemble@0.9.3
- py-petsc4py@3.18.1
- py-warpx@22.10 ^warpx dims=2
- py-warpx@22.10 ^warpx dims=3
- py-warpx@22.10 ^warpx dims=rz
- qthreads@1.16 scheduler=distrib
- quantum-espresso@7.1
- raja@2022.03.0
- scr@3.0.1
- slate@2022.07.0 ~cuda
- slepc@3.18.1
- stc@0.9.0
- strumpack@7.0.1 ~slate
- sundials@6.4.1
- superlu@5.3.0
- superlu-dist@8.1.1
- swig@4.0.2
- swig@4.0.2-fortran
- tasmanian@7.9
- tau@2.32 +mpi +python
- trilinos@13.0.1 +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext
+ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu
+nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos
+teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
- turbine@1.3.0
- umap@2.1.0
- umpire@2022.03.1
- upcxx@2022.9.0
- variorum@0.6.0
- wannier90@3.1.0
# CUDA, NO ARCH
- bricks@r0.1 +cuda
- flux-core@0.44.0 +cuda
- hpctoolkit@2022.10.01 +cuda
- papi@6.0.0.1 +cuda
- tau@2.32 +mpi +cuda
# CUDA, CUDA_ARCH=80
- adios2@2.8.3 +cuda cuda_arch=80 # ecp-data-vis-sdk
- amrex@22.11 +cuda cuda_arch=80
- arborx@1.3 +cuda cuda_arch=80 ^kokkos@3.7.00 +wrapper
- ascent@0.8.0 +cuda cuda_arch=80 # ecp-data-vis-sdk
- cabana@0.5.0 +cuda ^kokkos@3.7.00 +wrapper +cuda_lambda +cuda cuda_arch=80
- caliper@2.8.0 +cuda cuda_arch=80
- chai@2022.03.0 ~benchmarks ~tests +cuda cuda_arch=80 ^umpire@2022.03.1 ~shared
- cusz@0.3 +cuda cuda_arch=80
- dealii@9.4.0 +cuda cuda_arch=80
- flecsi@2.1.0 +cuda cuda_arch=80
- ginkgo@1.4.0 +cuda cuda_arch=80
- heffte@2.3.0 +cuda cuda_arch=80
- hpx@1.8.1 +cuda cuda_arch=80
- hypre@2.26.0 +cuda cuda_arch=80
- kokkos-kernels@3.7.00 +cuda cuda_arch=80 ^kokkos@3.7.00 +wrapper +cuda cuda_arch=80
- kokkos@3.7.00 +wrapper +cuda cuda_arch=80
- magma@2.6.2 +cuda cuda_arch=80
- mfem@4.5.0 +cuda cuda_arch=80
- omega-h@9.34.13 +cuda cuda_arch=80
- petsc@3.18.1 +cuda cuda_arch=80
- raja@2022.03.0 +cuda cuda_arch=80
- slate@2022.07.0 +cuda cuda_arch=80
- slepc@3.18.1 +cuda cuda_arch=80
- strumpack@7.0.1 ~slate +cuda cuda_arch=80
- sundials@6.4.1 +cuda cuda_arch=80
- superlu-dist@8.1.1 +cuda cuda_arch=80
- tasmanian@7.9 +cuda cuda_arch=80
- trilinos@13.4.0 +cuda cuda_arch=80
- umpire@2022.03.1 ~shared +cuda cuda_arch=80
- vtk-m@1.9.0 +cuda cuda_arch=80 # ecp-data-vis-sdk
- zfp@0.5.5 +cuda cuda_arch=80 # ecp-data-vis-sdk
# CUDA, CUDA_ARCH=70
- adios2@2.8.3 +cuda cuda_arch=70 # ecp-data-vis-sdk
- amrex@22.11 +cuda cuda_arch=70
- arborx@1.3 +cuda cuda_arch=70 ^kokkos@3.7.00 +wrapper
- ascent@0.8.0 +cuda cuda_arch=70 # ecp-data-vis-sdk
- cabana@0.5.0 +cuda ^kokkos@3.7.00 +wrapper +cuda_lambda +cuda cuda_arch=70
- caliper@2.8.0 +cuda cuda_arch=70
- chai@2022.03.0 ~benchmarks ~tests +cuda cuda_arch=70 ^umpire@2022.03.1 ~shared
- cusz@0.3 +cuda cuda_arch=70
- dealii@9.4.0 +cuda cuda_arch=70
- flecsi@2.1.0 +cuda cuda_arch=70
- ginkgo@1.4.0 +cuda cuda_arch=70
- heffte@2.3.0 +cuda cuda_arch=70
- hpx@1.8.1 +cuda cuda_arch=70
- hypre@2.26.0 +cuda cuda_arch=70
- kokkos-kernels@3.7.00 +cuda cuda_arch=70 ^kokkos@3.7.00 +wrapper +cuda cuda_arch=70
- kokkos@3.7.00 +wrapper +cuda cuda_arch=70
- magma@2.6.2 +cuda cuda_arch=70
- mfem@4.5.0 +cuda cuda_arch=70
- omega-h@9.34.13 +cuda cuda_arch=70
- petsc@3.18.1 +cuda cuda_arch=70
- raja@2022.03.0 +cuda cuda_arch=70
- slate@2022.07.0 +cuda cuda_arch=70
- slepc@3.18.1 +cuda cuda_arch=70
- strumpack@7.0.1 ~slate +cuda cuda_arch=70
- sundials@6.4.1 +cuda cuda_arch=70
- superlu-dist@8.1.1 +cuda cuda_arch=70
- tasmanian@7.9 +cuda cuda_arch=70
- trilinos@13.4.0 +cuda cuda_arch=70
- umpire@2022.03.1 ~shared +cuda cuda_arch=70
- vtk-m@1.9.0 +cuda cuda_arch=70 # ecp-data-vis-sdk
- zfp@0.5.5 +cuda cuda_arch=70 # ecp-data-vis-sdk
# CPU SPECS IN ECP-DATA-VIS-SDK
# - adios2@2.8.3
# - ascent@0.8.0
# - darshan-runtime@3.4.0
# - darshan-util@3.4.0
# - faodel@1.2108.1
# - hdf5@1.12.2 +fortran +hl +shared
# - parallel-netcdf@1.12.3
# - paraview@5.10.1
# - py-cinemasci@1.3
# - sz@2.1.12.2
# - unifyfs@1.0
# - veloc@1.5
# - visit@3.2.2
# - vtk-m@1.7.1
# - zfp@0.5.5
# ERRORS
# - dealii@9.4.0 # slepc
# - ecp-data-vis-sdk@1.0 ~rocm +cuda cuda_arch=70 +adios2 +ascent +hdf5 +vtkm +zfp
# - ecp-data-vis-sdk@1.0 ~rocm +cuda cuda_arch=80 +adios2 +ascent +hdf5 +vtkm +zfp
# - loki@0.1.7 # loki
# - rempi@1.1.0 # rempi
# ---
# loki: https://github.com/spack/spack/issues/32122
# rempi: https://github.com/spack/spack/issues/32123
# slepc: fetch error
22.08
E4S 22.08 is based on Spack branch e4s-22.08. This release comes with 100+ full product releases. Shown below is the spack configuration from Univ of Oregon system. The specs are pushed to buildcache which can be retrieved using the following commands
$ spack mirror add E4S https://cache.e4s.io/22.08
$ spack buildcache keys -it
Shown below is the spack configuration for CUDA based build for X86_64 platform.
CUDA x86-64
# built and tested in ecpe4s/ubuntu20.04-runner-x86_64:2022-08-01
# using https://github.com/spack/spack checked out at branch e4s-22.08
spack:
view: false
concretizer:
reuse: false
unify: false
compilers:
- compiler:
spec: gcc@9.4.0
paths:
cc: /usr/bin/gcc
cxx: /usr/bin/g++
f77: /usr/bin/gfortran
fc: /usr/bin/gfortran
flags: {}
operating_system: ubuntu20.04
target: x86_64
modules: []
environment: {}
extra_rpaths: []
packages:
all:
compiler: [gcc@9.4.0]
providers:
blas: [openblas]
mpi: [mpich]
target: [x86_64]
variants: +mpi
cuda:
version: [11.4.4]
binutils:
variants: +ld +gold +headers +libiberty ~nls
elfutils:
variants: +bzip2 ~nls +xz
hdf5:
variants: +fortran +hl +shared
libfabric:
variants: fabrics=sockets,tcp,udp,rxm
libunwind:
variants: +pic +xz
mpich:
variants: ~wrapperrpath
ncurses:
variants: +termlib
openblas:
variants: threads=openmp
python:
version: [3.8.13]
trilinos:
variants: +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext
+ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu
+nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos
+teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
xz:
variants: +pic
mesa:
version: [21.3.8]
modules:
prefix_inspections:
./lib:
- LD_LIBRARY_PATH
./lib64:
- LD_LIBRARY_PATH
default:
'enable:': [lmod]
lmod:
core_compilers: [gcc@9.4.0]
blacklist_implicits: true
verbose: true
hash_length: 0
whitelist: [mpich, cmake^ncurses@6.3]
hierarchy: [mpi]
projections: {}
core_specs: []
all:
autoload: direct
environment:
set:
${PACKAGE}_ROOT: ${PREFIX}
suffixes:
+cuda cuda_arch=70: cuda70
+cuda cuda_arch=80: cuda80
+openmp: openmp
cabana:
suffixes:
^kokkos +cuda cuda_arch=70: cuda70
^kokkos +cuda cuda_arch=80: cuda80
tau:
suffixes:
+cuda: cuda
hpctoolkit:
suffixes:
+cuda: cuda
bricks:
suffixes:
+cuda: cuda
flux-core:
suffixes:
+cuda: cuda
papi:
suffixes:
+cuda: cuda
mpich:
suffixes:
^hwloc+cuda: hwloc-cuda
^ncurses@6.3: ncurses6.3
^ncurses@6.2: ncurses6.2
py-warpx:
suffixes:
^warpx dims=2: dims2
^warpx dims=3: dims3
^warpx dims=rz: dimsRZ
specs:
# CPU
- adios@1.13.1
- adios2@2.8.3
- alquimia@1.0.9
- aml@0.2.0
- amrex@22.08
- arborx@1.2
- archer@2.0.0
- argobots@1.1
- ascent@0.8.0
- axom@0.6.1
- bolt@2.0
- bricks@r0.1
- butterflypack@2.1.1
- cabana@0.5.0
- caliper@2.8.0
- chai@2022.03.0 ~benchmarks ~tests
- conduit@0.8.3
- darshan-runtime@3.4.0
- darshan-util@3.4.0
- datatransferkit@3.1-rc3
- dyninst@12.2.0
- exaworks@0.1.0
- faodel@1.2108.1
- flecsi@1.4.2
- flit@2.1.0
- flux-core@0.40.0
- fortrilinos@2.0.0
- gasnet@2022.3.0
- geopm@1.1.0
- ginkgo@1.4.0
- globalarrays@5.8
- gmp@6.2.1
- gotcha@1.0.3
- gptune@3.0.0
- h5bench@1.2
- hdf5@1.12.2 +fortran +hl +shared
- hdf5-vol-async@1.2
- heffte@2.2.0 +fftw
- hpctoolkit@2022.05.15
- hpx@1.8.1 networking=mpi
- hypre@2.25.0
- kokkos@3.6.01 +openmp
- kokkos-kernels@3.6.00 +openmp
- lammps@20220623
- legion@21.03.0
- libnrm@0.1.0
- libquo@1.3.1
- libunwind@1.6.2
- loki@0.1.7
- mercury@2.1.0
- metall@0.21
- mfem@4.4.0
- mpark-variant@1.4.0
- mpifileutils@0.11.1 ~xattr
- nccmp@1.9.0.1
- nco@5.0.1
- netlib-scalapack@2.2.0
- nrm@0.1.0
- nvhpc@22.7
- omega-h@9.34.1
- openmpi@4.1.4
- openpmd-api@0.14.5
- papi@6.0.0.1
- papyrus@1.0.2
- parallel-netcdf@1.12.2
- paraview@5.10.1 +qt ^mesa@21.3.8
- parsec@3.0.2012 ~cuda
- pdt@3.25.1
- petsc@3.17.4
- phist@1.9.5
- plasma@21.8.29
- plumed@2.8.0
- precice@2.5.0
- pruners-ninja@1.0.1
- pumi@2.2.7
- py-cinemasci@1.7.0
- py-jupyterhub@1.4.1
- py-libensemble@0.9.2
- py-petsc4py@3.17.4
- py-warpx@22.08 ^warpx dims=2
- py-warpx@22.08 ^warpx dims=3
- py-warpx@22.08 ^warpx dims=rz
- qthreads@1.16 scheduler=distrib
- raja@2022.03.0
- rempi@1.1.0
- scr@3.0
- slate@2022.06.00 ~cuda
- slepc@3.17.2
- stc@0.9.0
- strumpack@6.3.1 ~slate
- sundials@6.2.0
- superlu@5.3.0
- superlu-dist@7.2.0
- swig@4.0.2
- swig@4.0.2-fortran
- sz@2.1.12.2
- tasmanian@7.7
- tau@2.31.1 +mpi +python
- trilinos@13.0.1 +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext
+ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu
+nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos
+teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
- turbine@1.3.0
- umap@2.1.0
- umpire@2022.03.1
- unifyfs@0.9.2
- upcxx@2022.3.0
- variorum@0.4.1
- veloc@1.5
- vtk-m@1.8.0
- wannier90@3.1.0
- zfp@0.5.5
# no cuda_arch
- tau@2.31.1 +mpi +cuda ^mpich@4.0.2
- papi@6.0.0.1 +cuda
- bricks@r0.1 +cuda
- flux-core@0.40.0 +cuda
- hpctoolkit@2022.05.15 +cuda
# cuda_arch=80
- adios2@2.8.3 +cuda cuda_arch=80
- amrex@22.08 +cuda cuda_arch=80
- arborx@1.2 +cuda cuda_arch=80 ^kokkos@3.6.01 +wrapper
- ascent@0.8.0 +cuda cuda_arch=80
- cabana@0.5.0 +cuda ^kokkos@3.6.01 +wrapper +cuda_lambda +cuda cuda_arch=80
- caliper@2.8.0 +cuda cuda_arch=80
- chai@2022.03.0 ~benchmarks ~tests +cuda cuda_arch=80 ^umpire ~shared
- flecsi@2.1.0 +cuda cuda_arch=80
- ginkgo@1.4.0 +cuda cuda_arch=80
- heffte@2.2.0 +cuda cuda_arch=80
- hpx@1.8.1 +cuda cuda_arch=80
- hypre@2.25.0 +cuda cuda_arch=80
- kokkos@3.6.01 +wrapper +cuda cuda_arch=80
- kokkos-kernels@3.6.00 +cuda cuda_arch=80 ^kokkos@3.6.00 +wrapper +cuda cuda_arch=80
- magma@2.6.2 +cuda cuda_arch=80
- mfem@4.4.0 +cuda cuda_arch=80
- parsec@3.0.2012 +cuda cuda_arch=80
- petsc@3.17.4 +cuda cuda_arch=80
- raja@2022.03.0 +cuda cuda_arch=80
- slate@2022.06.00 +cuda cuda_arch=80
- slepc@3.17.2 +cuda cuda_arch=80
- strumpack@6.3.1 ~slate +cuda cuda_arch=80
- sundials@6.2.0 +cuda cuda_arch=80
- superlu-dist@7.2.0 +cuda cuda_arch=80
- tasmanian@7.7 +cuda cuda_arch=80
- trilinos@13.4.0 +cuda cuda_arch=80
- umpire@2022.03.1 ~shared +cuda cuda_arch=80
- vtk-m@1.8.0 +cuda cuda_arch=80
- zfp@0.5.5 +cuda cuda_arch=80
# cuda_arch=70
- adios2@2.8.3 +cuda cuda_arch=70
- amrex@22.08 +cuda cuda_arch=70
- arborx@1.2 +cuda cuda_arch=70 ^kokkos@3.6.01 +wrapper
- ascent@0.8.0 +cuda cuda_arch=70
- cabana@0.5.0 +cuda ^kokkos@3.6.01 +wrapper +cuda_lambda +cuda cuda_arch=70
- caliper@2.8.0 +cuda cuda_arch=70
- chai@2022.03.0 ~benchmarks ~tests +cuda cuda_arch=70 ^umpire ~shared
- flecsi@2.1.0 +cuda cuda_arch=70
- ginkgo@1.4.0 +cuda cuda_arch=70
- heffte@2.2.0 +cuda cuda_arch=70
- hpx@1.8.1 +cuda cuda_arch=70
- hypre@2.25.0 +cuda cuda_arch=70
- kokkos@3.6.01 +wrapper +cuda cuda_arch=70
- kokkos-kernels@3.6.00 +cuda cuda_arch=70 ^kokkos@3.6.00 +wrapper +cuda cuda_arch=70
- magma@2.6.2 +cuda cuda_arch=70
- mfem@4.4.0 +cuda cuda_arch=70
- parsec@3.0.2012 +cuda cuda_arch=70
- petsc@3.17.4 +cuda cuda_arch=70
- raja@2022.03.0 +cuda cuda_arch=70
- slate@2022.06.00 +cuda cuda_arch=70
- slepc@3.17.2 +cuda cuda_arch=70
- strumpack@6.3.1 ~slate +cuda cuda_arch=70
- sundials@6.2.0 +cuda cuda_arch=70
- superlu-dist@7.2.0 +cuda cuda_arch=70
- tasmanian@7.7 +cuda cuda_arch=70
- trilinos@13.4.0 +cuda cuda_arch=70
- umpire@2022.03.1 ~shared +cuda cuda_arch=70
- vtk-m@1.8.0 +cuda cuda_arch=70
- zfp@0.5.5 +cuda cuda_arch=70
# FAILURES
# - dealii@9.4.0 +cuda # dealii
# -----
# dealii: Could NOT find CUDA: CMake Error at cmake/configure/configure_10_cuda.cmake:200
# SKIPPED
# - charliecloud
22.05
E4S 22.05 is based on Spack branch e4s-22.05. This release comes with 100+ full product releases. Shown below is the spack configuration from Univ of Oregon system. The specs are pushed to buildcache which can be retrieved using the following commands
$ spack mirror add E4S https://cache.e4s.io/22.05
$ spack buildcache keys -it
Shown below is the spack configuration for CUDA based build for X86_64 platform.
CUDA x86-64
spack:
view: false
concretization: separately
config:
concretizer: clingo
compilers:
- compiler:
spec: gcc@9.4.0
paths:
cc: /usr/bin/gcc
cxx: /usr/bin/g++
f77: /usr/bin/gfortran
fc: /usr/bin/gfortran
flags: {}
operating_system: ubuntu20.04
target: x86_64
modules: []
environment: {}
extra_rpaths: []
modules:
default:
enable:: [lmod]
lmod:
core_compilers: [gcc@9.4.0]
blacklist_implicits: true
verbose: true
hash_length: 0
whitelist: [mpich, cmake]
hierarchy: [mpi]
projections: {}
core_specs: []
all:
autoload: direct
environment:
set:
${PACKAGE}_ROOT: ${PREFIX}
suffixes:
+cuda: cuda
+openmp: openmp
mpich:
suffixes:
^hwloc+cuda: hwloc-cuda
py-warpx:
suffixes:
^warpx dims=2: dims2
^warpx dims=3: dims3
^warpx dims=rz: dimsRZ
packages:
all:
compiler: [gcc@9.4.0]
providers:
blas: [openblas]
mpi: [mpich]
target: [x86_64]
variants: +mpi
binutils:
variants: +ld +gold +headers +libiberty ~nls
cuda:
version: [11.4.2]
elfutils:
variants: +bzip2 ~nls +xz
hdf5:
variants: +fortran +hl +shared
libfabric:
variants: fabrics=sockets,tcp,udp,rxm
libunwind:
variants: +pic +xz
mpich:
variants: ~wrapperrpath
ncurses:
variants: +termlib
openblas:
variants: threads=openmp
python:
version: [3.8.13]
trilinos:
variants: +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext
+ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu
+nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos
+teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
xz:
variants: +pic
mesa:
version: [21.3.8]
specs:
# CPU
- adios@1.13.1
- adios2@2.8.0
- alquimia@1.0.9
- aml@0.1.0
- amrex@22.05
- arborx@1.2
- archer@2.0.0
- argobots@1.1
- ascent@0.8.0
- axom@0.6.1
- bolt@2.0
- bricks@r0.1
- butterflypack@2.1.1
- cabana@0.4.0
- caliper@2.7.0
- chai@2.4.0 ~benchmarks ~tests
- charliecloud@0.26
- conduit@0.8.3
- darshan-runtime@3.3.1
- darshan-util@3.3.1
- datatransferkit@3.1-rc3
- dyninst@12.1.0
- exaworks@0.1.0
- faodel@1.2108.1
- flecsi@1.4.2
- flit@2.1.0
- flux-core@0.38.0
- fortrilinos@2.0.0
- gasnet@2022.3.0
- geopm@1.1.0
- ginkgo@1.4.0
- globalarrays@5.8
- gmp@6.2.1
- gotcha@1.0.3
- gptune@3.0.0
- h5bench@1.2
- hdf5@1.10.7 +fortran +hl +shared
- heffte@2.2.0 +fftw
- hpctoolkit@2022.04.15
- hpx@1.7.1 networking=mpi
- hypre@2.24.0
- kokkos@3.6.00 +openmp
- kokkos-kernels@3.6.00 +openmp
- lammps@20220107
- legion@21.03.0
- libnrm@0.1.0
- libquo@1.3.1
- libunwind@1.6.2
- loki@0.1.7
- mercury@2.1.0
- metall@0.20
- mfem@4.4.0
- mpark-variant@1.4.0
- mpifileutils@0.11.1 ~xattr
- nccmp@1.9.0.1
- nco@5.0.1
- netlib-scalapack@2.2.0
- nrm@0.1.0
- nvhpc@22.3
- omega-h@9.34.1
- openmpi@4.1.3
- openpmd-api@0.14.4
- papi@6.0.0.1
- papyrus@1.0.2
- parallel-netcdf@1.12.2
- paraview@5.10.1 +qt
- parsec@3.0.2012 ~cuda
- pdt@3.25.1
- petsc@3.17.1
- phist@1.9.5
- plasma@21.8.29
- plumed@2.6.3
- precice@2.4.0
- pruners-ninja@1.0.1
- pumi@2.2.7
- py-cinemasci@1.7.0
- py-jupyterhub@1.4.1
- py-libensemble@0.9.1
- py-petsc4py@3.17.1
- py-warpx@22.05 ^warpx dims=2
- py-warpx@22.05 ^warpx dims=3
- py-warpx@22.05 ^warpx dims=rz
- qthreads@1.16 scheduler=distrib
- raja@0.14.0
- rempi@1.1.0
- scr@3.0rc2
- slate@2021.05.02 ~cuda
- slepc@3.17.1
- stc@0.9.0
- strumpack@6.3.1 ~slate
- sundials@6.2.0
- superlu@5.3.0
- superlu-dist@7.2.0
- swig@4.0.2
- swig@4.0.2-fortran
- sz@2.1.12
- tasmanian@7.7
- tau@2.31 +mpi +python
- trilinos@13.0.1 +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext +ifpack
+ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu +nox +piro
+phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos +teko
+tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
- turbine@1.3.0
- umap@2.1.0
- umpire@6.0.0
- unifyfs@0.9.2
- upcxx@2022.3.0
- variorum@0.4.1
- veloc@1.5
- vtk-m@1.7.1
- wannier90@3.1.0
- zfp@0.5.5
# GPU
- adios2@2.8.0 +cuda cuda_arch=80
- arborx@1.2 +cuda cuda_arch=80 ^kokkos@3.6.00 +wrapper
- bricks@r0.1 +cuda
- cabana@0.4.0 +cuda ^kokkos@3.6.00 +wrapper +cuda_lambda +cuda cuda_arch=80
- caliper@2.7.0 +cuda cuda_arch=80
- chai@2.4.0 ~benchmarks ~tests +cuda cuda_arch=80 ^umpire@6.0.0 ~shared
- flux-core@0.38.0 +cuda
- ginkgo@1.4.0 +cuda cuda_arch=80
- heffte@2.2.0 +cuda cuda_arch=80
- hpctoolkit@2022.04.15 +cuda
- hpx@1.7.1 +cuda cuda_arch=80
- hypre@2.24.0 +cuda cuda_arch=80
- kokkos@3.6.00 +wrapper +cuda cuda_arch=80
- kokkos-kernels@3.6.00 +cuda cuda_arch=80 ^kokkos@3.6.00 +wrapper +cuda cuda_arch=80
- magma@2.6.2 +cuda cuda_arch=80
- mfem@4.4.0 +cuda cuda_arch=80
- papi@6.0.0.1 +cuda
- parsec@3.0.2012 +cuda cuda_arch=80
- petsc@3.17.1+cuda cuda_arch=80
- raja@0.14.0 +cuda cuda_arch=80
- slate@2021.05.02 +cuda cuda_arch=80
- slepc@3.17.1 +cuda cuda_arch=80
- strumpack@6.3.1 ~slate +cuda cuda_arch=80
- sundials@6.2.0 +cuda cuda_arch=80
- superlu-dist@7.2.0 +cuda cuda_arch=80
- tasmanian@7.7 +cuda cuda_arch=80
- tau@2.31.1 +mpi +cuda ^mpich@4.0.2
- trilinos@13.2.0 +cuda cuda_arch=80
- umpire@6.0.0 ~shared +cuda cuda_arch=80
- vtk-m@1.7.1 +cuda cuda_arch=80
- zfp@0.5.5 +cuda cuda_arch=80
# CONCRETIZATION ISSUE
#- amrex@2.8.0 +cuda cuda_arch=80
#- flecsi@1.4.2 +cuda cuda_arch=80
# SKIPPED
#- gasnet@2022.3.0 +cuda cuda_arch=80 conduits=mpi # requires driver
#- legion@21.03.0 +cuda cuda_arch=80 # requires driver
#- upcxx@2022.3.0 +cuda # requires driver
# BUILD FAILED - CPU
#- catalyst@5.6.0 # https://github.com/spack/spack/issues/30478
#- dealii@9.3.3
#- stat@4.1.0
# BUILD FAILED - GPU
#- ascent@0.8.0 ~shared +cuda cuda_arch=80 # https://github.com/spack/spack/issues/27954
#- axom@0.6.1 +cuda cuda_arch=80 ^umpire@6.0.0 ~shared # https://github.com/spack/spack/issues/29520
#- dealii@9.3.3 +cuda cuda_arch=80 # https://github.com/spack/spack/issues/29523
#- lammps@20220107 +cuda cuda_arch=80 # https://github.com/spack/spack/issues/30590
22.02
E4S 22.02 is based on Spack branch e4s-22.02. This release comes with 100 full product releases. Shown below is the spack configuration from Univ of Oregon system. The specs are pushed to buildcache which can be retrieved using the following commands
$ spack mirror add E4S https://cache.e4s.io/22.02
$ spack buildcache keys -it
x86-64
spack:
view: false
concretization: separately
config:
concretizer: clingo
packages:
all:
compiler:
- gcc@9.3.0
providers:
blas:
- openblas
mpi:
- mpich
target:
- x86_64
variants: +mpi
binutils:
variants: +ld +gold +headers +libiberty ~nls
version:
- 2.36.1
cuda:
version:
- 11.4.2
doxygen:
version:
- 1.8.20
elfutils:
variants: +bzip2 ~nls +xz
hdf5:
variants: +fortran +hl +shared
version:
- 1.10.7
libfabric:
variants: fabrics=sockets,tcp,udp,rxm
libunwind:
variants: +pic +xz
mesa:
variants: ~llvm
mesa18:
variants: ~llvm
mpich:
variants: ~wrapperrpath
ncurses:
variants: +termlib
openblas:
variants: threads=openmp
python:
version:
- 3.8.12
trilinos:
variants: +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext
+ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu
+nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos
+teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
xz:
variants: +pic
definitions:
- cpu_specs:
- adios@1.13.1
- adios2@2.7.1
- alquimia@1.0.9
- aml@0.1.0
- amrex@22.02
- arborx@1.1
- archer@2.0.0
- argobots@1.1
- ascent@0.7.1
- axom@0.6.1
- bolt@2.0
- butterflypack@2.1.0
- cabana@0.4.0
- caliper@2.7.0
- catalyst@5.6.0
- chai@2.4.0 ~benchmarks ~tests
- charliecloud@0.26
- conduit@0.8.2
- darshan-runtime@3.3.1
- darshan-util@3.3.1
- datatransferkit@3.1-rc3
- dyninst@12.0.1
- exaworks@0.1.0
- faodel@1.2108.1
- flecsi@1.4.2
- flit@2.1.0
- flux-core@0.35.0
- fortrilinos@2.0.0
- gasnet@2021.9.0
- geopm@1.1.0
- ginkgo@1.4.0
- globalarrays@5.8
- gmp@6.2.1
- gotcha@1.0.3
- gptune@2.1.0
- hdf5@1.10.7 +fortran +hl +shared
- heffte@2.2.0 +fftw
- hpctoolkit@2022.01.15
- hpx@1.7.1 networking=mpi
- hypre@2.24.0
- kokkos-kernels@3.5.00 +openmp
- kokkos@3.5.00 +openmp
- lammps@20220107
- legion@21.03.0
- libnrm@0.1.0
- libquo@1.3.1
- libunwind@1.5.0
- loki@0.1.7
- mercury@2.1.0
- metall@0.17
- mfem@4.3.0
- mpark-variant@1.4.0
- mpifileutils@0.11.1 ~xattr
- nccmp@1.9.0.1
- nco@5.0.1
- netlib-scalapack@2.1.0
- ninja@1.10.2
- nrm@0.1.0
- nvhpc@22.1
- omega-h@9.34.1
- openmpi@4.1.2
- openpmd-api@0.14.4
- papi@6.0.0.1
- papyrus@1.0.1
- parallel-netcdf@1.12.2
- paraview@5.10.0
- parsec@3.0.2012 ~cuda
- pdt@3.25.1
- petsc@3.16.4
- phist@1.9.5
- plasma@21.8.29
- plumed@2.6.3
- precice@2.3.0
- pumi@2.2.6
- py-cinemasci@1.3
- py-jupyterhub@1.4.1
- py-libensemble@0.8.0
- py-petsc4py@3.16.4
- py-warpx@22.02 ^warpx dims=2
- py-warpx@22.02 ^warpx dims=3
- py-warpx@22.02 ^warpx dims=rz
- qthreads@1.16 scheduler=distrib
- raja@0.14.0
- rempi@1.1.0
- scr@3.0rc2
- slate@2021.05.02 ~cuda
- slepc@3.16.2
- stc@0.9.0
- strumpack@6.3.0 ~slate
- sundials@6.1.1
- superlu-dist@7.2.0
- superlu@5.3.0
- swig@4.0.2
- swig@4.0.2-fortran
- sz@2.1.12
- tasmanian@7.7
- tau@2.31 +mpi +python
- trilinos@13.0.1 +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext +ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu +nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos +teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
- turbine@1.3.0
- umap@2.1.0
- umpire@6.0.0
- unifyfs@0.9.1
- upcxx@2021.9.0
- variorum@0.4.1
- veloc@1.5
- vtk-m@1.7.1
- wannier90@3.1.0
- zfp@0.5.5
#- dealii@9.3.2
#- stat@4.1.0
- cuda_specs:
- amrex@22.02 +cuda cuda_arch=80
- caliper@2.7.0 +cuda cuda_arch=80
- chai@2.4.0 ~benchmarks ~tests +cuda cuda_arch=80 ^umpire@6.0.0 ~shared
- flecsi@2.1.0 +cuda cuda_arch=80
- flux-core@0.35.0 +cuda # not CudaPackage
- ginkgo@1.4.0 +cuda cuda_arch=80
- heffte@2.2.0 +cuda cuda_arch=80
- hpctoolkit@2022.01.15 +cuda # not CudaPackage
- hpx@1.7.1 +cuda cuda_arch=80
- hypre@2.24.0 +cuda cuda_arch=80
- kokkos-kernels@3.5.00 +cuda cuda_arch=80 ^kokkos@3.5.00 +wrapper +cuda cuda_arch=80
- kokkos@3.5.00 +wrapper +cuda cuda_arch=80
- magma@2.6.1 +cuda cuda_arch=80
- mfem@4.3.0 +cuda cuda_arch=80
- openmpi@4.1.2 +cuda # not CudaPackage
- papi@6.0.0.1 +cuda # not CudaPackage
- parsec@3.0.2012 +cuda cuda_arch=80
- petsc@3.16.4 +cuda cuda_arch=80
- raja@0.14.0 +cuda cuda_arch=80
- slate@2021.05.02 +cuda cuda_arch=80
- slepc@3.16.2 +cuda cuda_arch=80
- strumpack@6.3.0 ~slate +cuda cuda_arch=80
- sundials@6.1.1 +cuda cuda_arch=80
- superlu-dist@7.2.0 +cuda cuda_arch=80
- tasmanian@7.7 +cuda cuda_arch=80
- trilinos@13.2.0 +cuda cuda_arch=80
- umpire@6.0.0 ~shared +cuda cuda_arch=80
- vtk-m@1.7.1 +cuda cuda_arch=80
- zfp@0.5.5 +cuda cuda_arch=80
#- arborx@1.1 +cuda # not CudaPackage
#- ascent@0.7.1 ~shared +cuda cuda_arch=80
#- axom@0.6.1 +cuda cuda_arch=80 ^umpire ~shared
#- cabana@0.4.0 +cuda # not CudaPackage
#- dealii@9.3.2 +cuda cuda_arch=80 # gmsh
#- legion@21.03.0 +cuda cuda_arch=80
#- llvm@13.0.0 +cuda cuda_arch=80
#- paraview@5.10.0 +cuda cuda_arch=80
#- upcxx@2021.9.0 +cuda # not CudaPackage, needs driver
- rocm_specs:
- amrex@22.02 +rocm amdgpu_target=gfx908
- chai@2.4.0 ~benchmarks +rocm amdgpu_target=gfx908
- ginkgo@1.4.0 +rocm amdgpu_target=gfx908
- heffte@2.2.0 +rocm amdgpu_target=gfx908
- hpx@1.7.1 +rocm amdgpu_target=gfx908
- kokkos@3.5.00 +rocm amdgpu_target=gfx908
- magma@2.6.1 ~cuda +rocm amdgpu_target=gfx908
- mfem@4.3.0 +rocm amdgpu_target=gfx908
- petsc@3.16.4 +rocm amdgpu_target=gfx908
- raja@0.14.0 ~openmp +rocm amdgpu_target=gfx908
- slate@2021.05.02 +rocm amdgpu_target=gfx908
- slepc@3.16.2 +rocm amdgpu_target=gfx908 ^petsc +rocm amdgpu_target=gfx908
- strumpack@6.3.0 ~slate +rocm amdgpu_target=gfx908
- superlu-dist@7.2.0 +rocm amdgpu_target=gfx908
- umpire@6.0.0 +rocm amdgpu_target=gfx908
#- arborx@1.1 +rocm ^kokkos +rocm amdgpu_target=gfx908 # Not ROCmPackage # Could not find a package configuration file provided by "rocthrust"
#- cabana@0.4.0 +rocm # https://github.com/spack/spack/issues/27967
#- hpctoolkit@2022.01.15 +rocm # Not ROCmPackage
#- papi@6.0.0.1 +rocm amdgpu_target=gfx908 # https://github.com/spack/spack/issues/27898
#- sundials@6.1.1 +rocm amdgpu_target=gfx908
#- tasmanian@7.7 +rocm amdgpu_target=gfx908 # https://github.com/spack/spack/issues/27896
#- vtk-m@1.7.1 +rocm amdgpu_target=gfx908
specs:
- $cpu_specs
- $cuda_specs
- $rocm_specs
21.11
E4S 21.11 is based on Spack branch e4s-21.11. This release comes with 91 full product releases. Shown below is the spack configuration from Univ of Oregon system. The specs are pushed to buildcache which can be retrieved using the following commands
$ spack mirror add E4S https://cache.e4s.io/21.11
$ spack buildcache keys -it
x86-64
spack:
view: false
concretization: separately
packages:
all:
compiler:
- gcc@9.3.0
providers:
blas:
- openblas
mpi:
- mpich
target:
- x86_64
variants: +mpi
cuda:
version:
- 11.4.2
binutils:
variants: +ld +gold +headers +libiberty ~nls +plugins
version:
- 2.36.1
boost:
variants: visibility=global
doxygen:
version:
- 1.8.20
elfutils:
variants: +bzip2 ~nls +xz
fftw:
variants: +openmp
hdf5:
variants: +fortran +hl +shared api=v18
version:
- 1.12.1
libfabric:
variants: fabrics=sockets,tcp,udp,rxm
libunwind:
variants: +pic +xz
mesa:
variants: ~llvm
mesa18:
variants: ~llvm
mpich:
variants: ~wrapperrpath
ncurses:
variants: +termlib
openblas:
variants: threads=openmp
trilinos:
variants: +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext
+ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu
+nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos
+teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
xz:
variants: +pic
definitions:
- cuda_specs:
- amrex@21.11 +cuda cuda_arch=80
- caliper@2.7.0 +cuda cuda_arch=80
- chai@2.4.0 ~benchmarks ~tests +cuda cuda_arch=80 ^umpire ~shared
- flecsi@2.1.0 +cuda cuda_arch=80
- ginkgo@1.4.0 +cuda cuda_arch=80
- heffte@2.2.0 +cuda cuda_arch=80
- hpx@1.7.1 +cuda cuda_arch=80
- hypre@2.23.0 +cuda cuda_arch=80
- kokkos@3.4.01 +wrapper +cuda cuda_arch=80
- kokkos-kernels@3.4.01 +cuda cuda_arch=80 ^kokkos +wrapper +cuda cuda_arch=80
- magma@2.6.1 +cuda cuda_arch=80
- mfem@4.3.0 +cuda cuda_arch=80
- parsec@3.0.2012 +cuda cuda_arch=80
- petsc@3.16.1 +cuda cuda_arch=80
- raja@0.14.0 +cuda cuda_arch=80
- slate@2021.05.02 +cuda cuda_arch=80
- slepc@3.16.0 +cuda cuda_arch=80
- strumpack@6.1.0 ~slate +cuda cuda_arch=80
- sundials@5.8.0 +cuda cuda_arch=80
- superlu-dist@7.1.1 +cuda cuda_arch=80
- tasmanian@7.7 +cuda cuda_arch=80
- trilinos@13.2.0 +cuda cuda_arch=80
- umpire@6.0.0 ~shared +cuda cuda_arch=80
- upcxx@2021.9.0 +cuda
- vtk-m@1.6.0 +cuda cuda_arch=80
- zfp@0.5.5 +cuda cuda_arch=80
#- ascent ~shared +cuda cuda_arch=80
#- axom +cuda cuda_arch=80 ^umpire ~shared
#- dealii +cuda cuda_arch=80 # gmsh
#- paraview +cuda cuda_arch=80
- rocm_specs:
- amrex@21.11 +rocm amdgpu_target=gfx908
- ginkgo@1.4.0 +rocm amdgpu_target=gfx908
- heffte@2.2.0 +rocm amdgpu_target=gfx908
- kokkos@3.4.01 +rocm amdgpu_target=gfx908
- magma@2.6.1 +rocm amdgpu_target=gfx908
- mfem@4.3.0 +rocm amdgpu_target=gfx908
- slate@2021.05.02 +rocm amdgpu_target=gfx908
- strumpack@6.1.0 ~slate +rocm amdgpu_target=gfx908
#- chai ~benchmarks +rocm amdgpu_target=gfx908
#- hpx +rocm amdgpu_target=gfx908
#- papi +rocm amdgpu_target=gfx908
#- petsc +rocm amdgpu_target=gfx908
#- raja ~openmp +rocm amdgpu_target=gfx908
#- slepc +rocm amdgpu_target=gfx908
#- sundials +rocm amdgpu_target=gfx908
#- tasmanian +rocm amdgpu_target=gfx908
#- umpire +rocm amdgpu_target=gfx908
- default_specs:
- adios2@2.7.1
- adios@1.13.1
- alquimia@1.0.9
- aml@0.1.0
- amrex@21.11
- arborx@1.1
- argobots@1.1
- ascent@0.7.1
- axom@0.5.0
- bolt@2.0
- butterflypack@2.0.0
- cabana@0.4.0
- caliper@2.7.0
- catalyst@5.6.0
- chai@2.4.0 ~benchmarks ~tests
- charliecloud@0.25
- conduit@0.7.2
- darshan-runtime@3.3.1
- darshan-util@3.3.1
- datatransferkit@3.1-rc3
- dyninst@11.0.1
- exaworks@0.1.0
- faodel@1.2108.1
- flecsi@1.4.2
- flit@2.1.0
- flux-core@0.30.0
- fortrilinos@2.0.0
- gasnet@2021.9.0
- ginkgo@1.4.0
- globalarrays@5.8
- gmp@6.2.1
- gotcha@1.0.3
- hdf5@1.12.1
- heffte@2.2.0 +fftw
- hpctoolkit@2021.10.15
- hpx@1.7.1
- hypre@2.23.0
- kokkos-kernels@3.4.01 +openmp
- kokkos@3.4.01 +openmp
- legion@21.03.0
- libnrm@0.1.0
- libquo@1.3.1
- libunwind@1.5.0
- llvm@13.0.0 +all_targets +clang +compiler-rt +libcxx +lld +lldb +llvm_dylib +flang ~cuda
- loki@0.1.7
- mercury@2.0.1
- metall@0.17
- mfem@4.3.0
- mpark-variant@1.4.0
- mpifileutils@0.11 ~xattr
- netlib-scalapack@2.1.0
- ninja@1.10.2
- nrm@0.1.0
- nvhpc@21.9
- omega-h@9.34.1
- openmpi@4.1.1
- openpmd-api@0.14.3 ^hdf5@1.12.0 +fortran +shared +hl api=default
- papi@6.0.0.1
- papyrus@1.0.1
- parallel-netcdf@1.12.2
- paraview@5.9.1
- parsec@3.0.2012 ~cuda
- pdt@3.25.1
- petsc@3.16.1
- phist@1.9.5
- plasma@21.8.29
- precice@2.3.0
- pumi@2.2.6
- py-cinemasci@1.3
- py-jupyterhub@1.4.1
- py-libensemble@0.8.0
- py-petsc4py@3.16.1
- py-warpx@21.11 ^warpx dims=2 ^hdf5@1.12.0 +fortran +shared +hl api=default
- py-warpx@21.11 ^warpx dims=3 ^hdf5@1.12.0 +fortran +shared +hl api=default
- py-warpx@21.11 ^warpx dims=rz ^hdf5@1.12.0 +fortran +shared +hl api=default
- qthreads@1.16 scheduler=distrib
- raja@0.14.0
- rempi@1.1.0
- scr@3.0rc2
- slate@2021.05.02 ~cuda
- slepc@3.16.0
- stc@0.9.0
- strumpack@6.1.0 ~slate
- sundials@5.8.0
- superlu-dist@7.1.1
- superlu@5.3.0
- swig@4.0.2
- swig@4.0.2-fortran
- sz@2.1.12
- tasmanian@7.7
- tau@2.31 +mpi +python
- trilinos@13.0.1 +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext +ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu +nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos +teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
- turbine@1.3.0
- umap@2.1.0
- umpire
- unifyfs@0.9.1
- upcxx@2021.9.0
- veloc@1.5
- vtk-m@1.6.0
- zfp@0.5.5
#- archer # https://github.com/spack/spack/issues/25050
#- dealii
#- geopm
#- qt
#- qwt
#- stat
#- variorum
specs:
- $cuda_specs
- $rocm_specs
- $default_specs
21.08
E4S 21.08 is based on Spack branch e4s-21.08. This release contains 88 full product releases. Shown below is the spack configuration from Univ of Oregon system. The specs are pushed to buildcache which can be retrieved using the following commands
$ spack mirror add E4S https://cache.e4s.io/21.08
$ spack buildcache keys -it
x86-64
spack:
view: false
concretization: separately
packages:
all:
compiler: [gcc@9.3.0]
providers:
blas: [openblas]
mpi: [mpich]
target:
- x86_64
variants: +mpi
autoconf:
version: [2.69]
automake:
version: [1.16.3]
berkeley-db:
version: [18.1.40]
binutils:
version: [2.36.1]
variants: +ld +gold +headers +libiberty ~nls +plugins
boost:
version: [1.76.0]
variants: visibility=global
bzip2:
version: [1.0.8]
c-blosc:
version: [1.21.0]
cmake:
version: [3.20.5]
curl:
version: [7.76.1]
diffutils:
version: [3.7]
doxygen:
version: [1.8.20]
elfutils:
version: [0.185]
variants: +bzip2 ~nls +xz
expat:
version: [2.4.1]
fftw:
variants: +openmp
findutils:
version: [4.8.0]
gdbm:
version: [1.19]
gettext:
version: [0.21]
git:
version: [2.31.1]
glib:
version: [2.68.2]
hdf5:
version: [1.12.0]
variants: +fortran +hl +shared api=v18
help2man:
version: [1.47.16]
hwloc:
version: [2.4.1]
json-c:
version: [0.15]
libbsd:
version: [0.11.3]
libfabric:
version: [1.12.1]
variants: fabrics=sockets,tcp,udp,rxm
libiconv:
version: [1.16]
libsigsegv:
version: [2.13]
libpciaccess:
version: [0.16]
libtool:
version: [2.4.6]
libunwind:
version: [1.5.0]
variants: +pic +xz
libxml2:
version: [2.9.10]
lz4:
version: [1.9.3]
m4:
version: [1.4.19]
mesa:
variants: ~llvm
mesa18:
variants: ~llvm
mpich:
version: [3.4.2]
variants: ~wrapperrpath
ncurses:
version: [6.2]
variants: +termlib
numactl:
version: [2.0.14]
openblas:
version: [0.3.17]
variants: threads=openmp
openssl:
version: [1.1.1k]
perl:
version: [5.34.0]
pkgconf:
version: [1.7.4]
python:
version: [3.8.10]
readline:
version: [8.1]
sqlite:
version: [3.35.5]
tar:
version: [1.34]
trilinos:
version: [13.0.1]
variants: +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext +ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu +nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos +teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
texinfo:
version: [6.5]
xz:
version: [5.2.5]
variants: +pic
zlib:
version: [1.2.11]
zstd:
version: [1.5.0]
compilers:
- compiler:
spec: gcc@9.3.0
paths:
cc: /usr/bin/gcc
cxx: /usr/bin/g++
f77: /usr/bin/gfortran
fc: /usr/bin/gfortran
flags: {}
operating_system: ubuntu20.04
target: x86_64
modules: []
environment: {}
extra_rpaths: []
definitions:
- cuda_specs:
- amrex +cuda cuda_arch=70
- caliper +cuda cuda_arch=70
- chai +cuda ~benchmarks ~tests cuda_arch=70 ^umpire@4.1.2 ~shared
- ginkgo +cuda cuda_arch=70
- hpx +cuda cuda_arch=70
- hypre +cuda cuda_arch=70
- kokkos +cuda +wrapper cuda_arch=70
- kokkos-kernels +cuda cuda_arch=70 ^kokkos +cuda +wrapper cuda_arch=70
- magma +cuda cuda_arch=70
- mfem +cuda cuda_arch=70
- parsec +cuda cuda_arch=70
- raja +cuda cuda_arch=70
- slate +cuda cuda_arch=70
- strumpack +cuda ~slate cuda_arch=70
- sundials +cuda cuda_arch=70
- superlu-dist +cuda cuda_arch=70
- tasmanian +cuda cuda_arch=70
- umpire@4.1.2 +cuda ~shared cuda_arch=70
- zfp +cuda cuda_arch=70
#- ascent +cuda ~shared cuda_arch=70
#- axom +cuda cuda_arch=70 ^umpire@4.1.2 ~shared
#- paraview +cuda ~shared cuda_arch=70
- rocm_specs:
- kokkos +rocm amdgpu_target=gfx906
#- strumpack +rocm ~slate amdgpu_target=gfx906 ^rocsolver build_type=Release
#- amrex +rocm amdgpu_target=gfx906
#- chai +rocm ~benchmarks amdgpu_target=gfx906
#- ginkgo +rocm amdgpu_target=gfx906 # needs hip<4.1
#- raja +rocm ~openmp amdgpu_target=gfx906 # blt 0.3.6 issue with rocm
#- slate +rocm amdgpu_target=gfx906
#- sundials +rocm amdgpu_target=gfx906
#- tasmanian +rocm amdgpu_target=gfx906
#- umpire+rocm amdgpu_target=gfx906 # blt 0.3.6 issue with rocm
- aux_specs:
- axom@0.5.0 ^umpire@4.1.2
- cabana@0.3.0
- charliecloud@0.24
- conduit@0.7.2
- faodel@1.1906.1
- globalarrays@5.8
- gotcha@1.0.3
- hpx@1.7.1
- libnrm@0.1.0
- libquo@1.3.1
- libunwind@1.5.0
- loki@0.1.7
- mercury@2.0.1
- mpark-variant@1.4.0
- mpifileutils@0.11 ~xattr
- ninja@1.10.2
- nrm@0.1.0
- openpmd-api@0.13.4 ^hdf5@1.12.0 +fortran +shared +hl api=default
- pdt@3.25.1
- phist@1.9.4
- plasma@20.9.20
- precice@2.2.1
- pumi@2.2.6
- py-jupyterhub@1.0.0
- py-libensemble@0.7.2
- py-petsc4py@3.15.3
- py-warpx@21.08 ^warpx dims=2 ^hdf5@1.12.0 +fortran +shared +hl api=default
- py-warpx@21.08 ^warpx dims=3 ^hdf5@1.12.0 +fortran +shared +hl api=default
- py-warpx@21.08 ^warpx dims=rz ^hdf5@1.12.0 +fortran +shared +hl api=default
- qt@5.15.2
- qwt@6.1.6
- slepc@3.15.1
- stc@0.9.0
- turbine@1.3.0
#- dealii
#- visit
- core_specs:
- adios@1.13.1
- adios2@2.7.1
- aml@0.1.0
- amrex@21.08
- arborx@1.0
- argobots@1.1
- ascent@0.7.1
- bolt@2.0
- caliper@2.6.0
- chai@2.3.0 ~benchmarks ~tests ^umpire@4.1.2
- darshan-runtime@3.3.1
- darshan-util@3.3.1
- datatransferkit@3.1-rc2
- dyninst@11.0.1
- flecsi@1.4.2
- flit@2.1.0
- flux-core@0.28.0
- fortrilinos@2.0.0
- gasnet@2021.3.0
- geopm@1.1.0
- ginkgo@1.3.0
- hdf5@1.12.0
- heffte@2.1.0 +fftw
- hpctoolkit@2021.05.15
- hypre@2.22.0
- kokkos@3.4.00 +openmp
- kokkos-kernels@3.2.00 +openmp
- legion@21.03.0
- metall@0.15
- mfem@4.3.0
- netlib-scalapack@2.1.0
- nvhpc@21.7
- omega-h@9.32.5
- openmpi@4.1.1
- papi@6.0.0.1
- papyrus@1.0.1
- parallel-netcdf@1.12.2
- paraview@5.9.1
- parsec@3.0.2012 ~cuda
- petsc@3.15.3
- qthreads@1.16 scheduler=distrib
- raja@0.13.0
- rempi@1.1.0
- scr@3.0rc1
- slate@2021.05.02 ~cuda
- strumpack@5.1.1 ~slate
- sundials@5.7.0
- superlu@5.2.2
- superlu-dist@6.4.0
- swig@4.0.2
- swig@4.0.2-fortran
- sz@2.1.12
- tasmanian@7.5
- tau@2.30.1
- trilinos@13.0.1 +amesos +amesos2 +anasazi +aztec +belos +boost +epetra +epetraext +ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu +nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos +teko +tempus +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long_long
- umap@2.1.0
- umpire@4.1.2
- unifyfs@0.9.1
- upcxx@2021.3.0
- veloc@1.4
- vtk-m@1.6.0
- zfp@0.5.5
#- archer # https://github.com/spack/spack/issues/25050
#- stat
#- variorum
specs:
- $cuda_specs
- $rocm_specs
- $core_specs
- $aux_specs
21.05
The E4S 21.05 release is based on spack branch e4s-21.05 which comes with 76 full product releases. The specs are pushed to build cache which can accessed by running the following command:
$ spack mirror add E4S https://cache.e4s.io/21.05
$ spack buildcache keys -it
Shown below is the spack configuration built at Univ of Oregon.
x86-64
spack:
view: false
concretization: separately
packages:
all:
compiler:
- gcc@9.3.0
providers:
blas:
- openblas
mpi:
- mpich
target:
- x86_64
variants: +mpi
autoconf:
version:
- '2.69'
automake:
version:
- 1.16.3
berkeley-db:
version:
- 18.1.40
binutils:
variants: +ld +gold +headers +libiberty ~nls +plugins
version:
- 2.33.1
boost:
version:
- 1.75.0
bzip2:
version:
- 1.0.8
c-blosc:
version:
- 1.21.0
cmake:
version:
- 3.20.2
curl:
version:
- 7.76.0
diffutils:
version:
- 3.7
elfutils:
version:
- 0.182
variants: +bzip2 ~nls +xz
expat:
version:
- 2.2.10
findutils:
version:
- 4.8.0
gdbm:
version:
- 1.18.1
gettext:
version:
- 0.21
git:
version:
- 2.31.0
glib:
version:
- 2.66.8
hdf5:
variants: +fortran +hl +shared
version:
- 1.10.7
help2man:
version:
- 1.47.16
hwloc:
version:
- 2.4.1
json-c:
version:
- 0.13.1
libbsd:
version:
- 0.10.0
libfabric:
version:
- 1.12.1
variants: fabrics=sockets,tcp,udp,rxm
libiconv:
version:
- 1.16
libsigsegv:
version:
- 2.12
libpciaccess:
version:
- 0.16
libtool:
version:
- 2.4.6
libunwind:
version:
- 1.5.0
variants: +pic +xz
libxml2:
version:
- 2.9.10
lz4:
version:
- 1.9.3
m4:
version:
- 1.4.18
mesa:
variants: ~llvm
mesa18:
variants: ~llvm
mpich:
variants: ~wrapperrpath
version:
- 3.4.1
ncurses:
version:
- 6.2
variants: +termlib
numactl:
version:
- 2.0.14
openblas:
version:
- 0.3.10
variants: threads=openmp
openssl:
version:
- 1.1.1k
perl:
version:
- 5.32.1
pkgconf:
version:
- 1.7.3
python:
version:
- 3.8.10
readline:
version:
- 8
sqlite:
version:
- 3.34.0
tar:
version:
- 1.32
texinfo:
version:
- 6.5
xz:
version:
- 5.2.5
variants: +pic
zlib:
version:
- 1.2.11
zstd:
version:
- 1.4.9
definitions:
- cuda_specs:
- amrex@21.05 +cuda cuda_arch=70
- axom@0.5.0 +cuda cuda_arch=70 ^umpire~shared
- caliper@2.5.0 +cuda cuda_arch=70
- chai@2.3.0 +cuda ~benchmarks ~tests cuda_arch=70 ^umpire~shared
- ginkgo@1.3.0 +cuda cuda_arch=70
- hpx@1.6.0 +cuda cuda_arch=70
- kokkos@3.4.00 +cuda +wrapper cuda_arch=70
- kokkos-kernels@3.2.00 +cuda cuda_arch=70 ^kokkos +cuda +wrapper cuda_arch=70
- magma@2.5.4 cuda_arch=70
- raja@0.13.0 +cuda cuda_arch=70
- slate@2021.05.02 +cuda cuda_arch=70
- strumpack@5.1.1 +cuda ~slate cuda_arch=70
- sundials@5.7.0 +cuda cuda_arch=70
- superlu-dist@6.4.0 +cuda cuda_arch=70
- tasmanian@7.5 +cuda cuda_arch=70
- umpire@4.1.2 +cuda ~shared cuda_arch=70
- zfp +cuda cuda_arch=70
#- ascent@0.7.1 +cuda ~shared cuda_arch=70
#- hypre@2.20.0 +cuda cuda_arch=70
#- mfem@4.2.0 +cuda cuda_arch=70
- rocm_specs:
- kokkos@3.4.00 +rocm amdgpu_target=gfx906
- strumpack@5.1.1 +rocm ~slate amdgpu_target=gfx906
#- amrex@0.5.0 +rocm amdgpu_target=gfx906
#- chai@2.3.0 +rocm ~benchmarks amdgpu_target=gfx906
#- ginkgo@1.3.0 +rocm amdgpu_target=gfx906 # needs hip<4.1
#- raja@0.13.0 +rocm ~openmp amdgpu_target=gfx906 # blt 0.3.6 issue with rocm
#- slate@2021.05.02 +rocm amdgpu_target=gfx906
#- sundials@5.7.0 +rocm amdgpu_target=gfx906
#- tasmanian@7.5 +rocm amdgpu_target=gfx906
#- umpire@4.1.2 +rocm amdgpu_target=gfx906 # blt 0.3.6 issue with rocm
- default_specs:
- adios@1.13.1
- adios2@2.7.1
- aml@0.1.0
- amrex@21.05
- arborx@1.0
- archer@2.0.0
- argobots@1.1
- ascent@0.7.1
- axom@0.5.0
- bolt@2.0
- cabana@0.3.0
- caliper@2.5.0
- chai@2.3.0 ~benchmarks ~tests
- conduit@0.7.2
- darshan-runtime@3.3.0
- darshan-util@3.3.0
- dyninst@11.0.0
- faodel@1.1906.1
- flecsi@1.4 +cinch
- flit@2.1.0
- fortrilinos@2.0.0
- gasnet@2021.3.0
- ginkgo@1.3.0
- globalarrays@5.8
- gmp@6.2.1
- gotcha@1.0.3
- hdf5@1.10.7
- heffte@2.0.0 +fftw
- hpctoolkit@2021.03.01
- hpx@1.6.0
- hypre@2.20.0
- kokkos@3.4.00 +openmp
- kokkos-kernels@3.2.00 +openmp
- legion@21.03.0
- libnrm@0.1.0
- libquo@1.3.1
- libunwind@1.5.0
- loki@0.1.7
- mercury@2.0.1
- metall@0.13
- mfem@4.2.0
- mpark-variant@1.4.0
- mpifileutils@0.11 ~xattr
- ninja@1.10.2
- nrm@0.1.0
- omega-h@9.32.5
- openmpi@4.0.5
- openpmd-api@0.13.4
- papi@6.0.0.1
- papyrus@1.0.1
- parallel-netcdf@1.12.2
- pdt@3.25.1
- petsc@3.15.0
- plasma@20.9.20
- precice@2.2.1
- pumi@2.2.5
- py-jupyterhub@1.0.0
- py-libensemble@0.7.2
- py-petsc4py@3.15.0
- py-warpx@21.05 ^warpx dims=2
- py-warpx@21.05 ^warpx dims=3
- py-warpx@21.05 ^warpx dims=rz
- qt@5.15.2
- qthreads@1.16 scheduler=distrib
- qwt@6.1.6
- raja@0.13.0
- rempi@1.1.0
- scr@3.0rc1
- slate@2021.05.02 ~cuda
- slepc@3.15.0
- stc@0.9.0
- strumpack@5.1.1 ~slate
- sundials@5.7.0
- superlu@5.2.1
- superlu-dist@6.4.0
- swig@4.0.2
- swig@4.0.2-fortran
- sz@2.1.11.1
- tasmanian@7.5
- tau@2.30.1
- trilinos@13.0.1 +amesos +amesos2 +anasazi +aztec +belos +epetra +epetraext +ifpack +ifpack2 +intrepid +intrepid2 +isorropia +kokkos +ml +minitensor +muelu +nox +piro +phalanx +rol +rythmos +sacado +stk +shards +shylu +stokhos +stratimikos +teko +tempus +teuchos +tpetra +trilinoscouplings +zoltan +zoltan2 +superlu-dist gotype=long
- turbine@1.3.0
- umap@2.1.0
- umpire@4.1.2
- unifyfs@0.9.1
- upcxx@2021.3.0
- zfp@0.5.5
# Packages that track branches
#- llvm-doe@doe +clang +compiler-rt +libcxx +lld +lldb +llvm_dylib +flang
# Packages w/ build or concretization issues
#- dealii
#- geopm
#- variorum
#- veloc
specs:
- $cuda_specs
- $rocm_specs
- $default_specs
21.02
E4S 21.02 is is based on spack tag e4s-21.02 which comes with 67 product releases. Shown below is the spack configuration built at Univ of Oregon machine.
x86-64
spack:
view: false
concretization: separately
packages:
all:
compiler:
- gcc@7.5.0
providers:
blas:
- openblas
mpi:
- mpich
target:
- x86_64
variants: +mpi
autoconf:
version:
- '2.69'
automake:
version:
- 1.16.2
berkeley-db:
version:
- 18.1.40
binutils:
variants: +gold+headers+libiberty~nls
version:
- 2.33.1
boost:
version:
- 1.74.0
bzip2:
version:
- 1.0.8
cmake:
version:
- 3.18.4
diffutils:
version:
- 3.7
elfutils:
version:
- 0.182
expat:
version:
- 2.2.10
gdbm:
version:
- 1.18.1
gettext:
version:
- 0.21
hdf5:
variants: +fortran
version:
- 1.10.7
help2man:
version:
- 1.47.11
hip:
version:
- 4.0.0
libbsd:
version:
- 0.10.0
libiconv:
version:
- 1.16
libsigsegv:
version:
- 2.12
libunwind:
version:
- 1.4.0
libxml2:
version:
- 2.9.10
m4:
version:
- 1.4.18
mpich:
variants: ~wrapperrpath
version:
- 3.3.2
ncurses:
version:
- 6.2
openblas:
version:
- 0.3.10
perl:
version:
- 5.32.0
pkgconf:
version:
- 1.7.3
python:
version:
- 3.8.6
readline:
version:
- 8
sqlite:
version:
- 3.33.0
tar:
version:
- 1.32
texinfo:
version:
- 6.5
xz:
version:
- 5.2.5
zlib:
version:
- 1.2.11
specs:
- adios@1.13.1
- adios2@2.7.1
- aml@0.1.0
- amrex@21.02
- arborx@0.9-beta
- argobots@1.0
- ascent@0.6.0
- axom@0.4.0
- bolt@2.0
- caliper@2.5.0
- darshan-runtime@3.2.1
- darshan-util@3.2.1
- dyninst@10.2.1
- faodel@1.1906.1
- flecsi@1.4 +cinch
- flit@2.1.0
- gasnet@2020.3.0
- ginkgo@1.3.0
- globalarrays@5.8
- gotcha@1.0.3
- hdf5@1.10.7
- hpctoolkit@2020.08.03
- hpx@1.6.0
- hypre@2.20.0
- kokkos-kernels@3.2.00 +openmp
- kokkos@3.2.00 +openmp
- legion@20.03.0
- libnrm@0.1.0
- libquo@1.3.1
- magma@2.5.4 cuda_arch=70 ^cuda@10.2.89
- mercury@2.0.0
- mfem@4.2.0
- mpifileutils@0.10.1
- ninja@1.10.2
- omega-h@9.32.5
- openmpi@4.0.5
- openpmd-api@0.13.2
- papi@6.0.0.1
- papyrus@1.0.1
- parallel-netcdf@1.12.1
- pdt@3.25.1
- petsc@3.14.4
- phist@1.9.3
- plasma@20.9.20
- precice@2.2.0
- pumi@2.2.5
- py-jupyterhub@1.0.0
- py-libensemble@0.7.1
- py-petsc4py@3.14.1
- qthreads@1.16 scheduler=distrib
- raja@0.13.0
- rempi@1.1.0
- scr@2.0.0
- slate@2020.10.00 ^openblas@0.3.5 ^cuda@10.2.89
- slepc@3.14.2
- stc@0.8.3
- strumpack@5.1.1 ~slate ^openblas threads=openmp
- sundials@5.7.0
- superlu@5.2.1
- superlu-dist@6.4.0
- swig@4.0.2-fortran
- sz@2.1.11.1
- tasmanian@7.3
- tau@2.30.1
- trilinos@13.0.1
- turbine@1.2.3
- umap@2.1.0
- umpire@4.1.2
- upcxx@2020.10.0
- veloc@1.4
- zfp@0.5.5
- kokkos@3.2.00 +cuda+wrapper cuda_arch=70 ^cuda@10.2.89
- kokkos@3.2.00 +rocm amdgpu_target=gfx906
- raja@0.13.0 +rocm~openmp amdgpu_target=gfx906 ^hip@4.0.0
- strumpack@5.1.1 ~slate+rocm amdgpu_target=gfx906 ^openblas threads=openmp
- umpire@4.1.2 +rocm amdgpu_target=gfx906 ^hip@4.0.0
#- llvm-doe@doe +clang +compiler-rt +libcxx +lld +lldb +llvm_dylib +flang
20.10
E4S 20.10 is the first release E4S that is distributed as a spack configuration (spack.yaml) that can be used by facilities to install E4S stack from source. This release is based on Spack commit e1e0bbb4cbe11a3f0d7e50466ffa86071ee653b7. This release comes with 67 product. Shown below is the spack configuration for Univ of Oregon.
x86-64
spack:
view: false
concretization: separately
packages:
all:
providers:
blas:
- openblas
mpi:
- mpich
variants: +mpi
autoconf:
version:
- 2.69
automake:
version:
- 1.16.2
berkeley-db:
version:
- 18.1.4
binutils:
variants: +gold+headers+libiberty~nls
version:
- 2.33.1
boost:
version:
- 1.73.0
bzip2:
version:
- 1.0.8
cmake:
version:
- 3.17.3
diffutils:
version:
- 3.7
elfutils:
version:
- 0.18
expat:
version:
- 2.2.9
gdbm:
version:
- 1.18.1
gettext:
version:
- 0.20.2
hdf5:
variants: +fortran
version:
- 1.10.6
help2man:
version:
- 1.47.11
libbsd:
version:
- 0.10.0
libiconv:
version:
- 1.16
libsigsegv:
version:
- 2.12
libunwind:
version:
- 1.4.0
libxml2:
version:
- 2.9.10
m4:
version:
- 1.4.18
mpich:
variants: ~wrapperrpath
version:
- 3.2.1
ncurses:
version:
- 6.2
perl:
version:
- 5.30.3
pkgconf:
version:
- 1.7.3
python:
version:
- 3.7.8
readline:
version:
- 8
sqlite:
version:
- 3.31.1
tar:
version:
- 1.32
texinfo:
version:
- 6.5
xz:
version:
- 5.2.5
zlib:
version:
- 1.2.11
specs:
- adios@1.13.1
- adios2@2.6.0
- aml@0.1.0
- arborx@0.9-beta
- axom@0.3.3
- bolt@1.0
- caliper@2.4.0
- darshan-runtime@3.2.1
- darshan-util@3.2.1
- dyninst@10.2.1
- faodel@1.1906.1
- flecsi@1 +cinch
- flit@2.1.0
- gasnet@2020.3.0
- ginkgo@1.3.0
- globalarrays@5.7
- gotcha@1.0.3
- hdf5@1.10.6
- hpctoolkit@2020.08.03
- hpx@1.5.1
- hypre@2.20.0
- kokkos-kernels@3.2.00
- kokkos+openmp@3.2.00
- legion@20.03.0
- libnrm@0.1.0
- libquo@1.3.1
- magma@2.5.4 cuda_arch=70 ^cuda@10.2.89
- mercury@1.0.1
- mfem@4.1.0
- mpifileutils@0.10.1
- ninja@1.10.1
- omega-h@9.29.0
- openmpi@3.1.6
- openpmd-api@0.12.0
- papi@6.0.0.1
- papyrus@1.0.0
- parallel-netcdf@1.12.1
- pdt@3.25.1
- petsc@3.14.0
- phist@1.9.1
- plasma@20.9.20
- precice@2.1.1
- pumi@2.2.2
- py-jupyterhub@1.0.0
- py-libensemble@0.7.1
- py-petsc4py@3.13.0
- qthreads@1.14
- raja@0.12.1
- rempi@1.1.0
- scr@2.0.0
- slepc@3.14.0
- stc@0.8.3
- strumpack@5.0.0
- sundials@5.4.0
- superlu-dist@6.3.1
- superlu@5.2.1
- swig@4.0.2
- sz@2.1.10
- tasmanian@7.3
- tau@2.29.1
- trilinos@13.0.0
- turbine@1.2.3
- umap@2.1.0
- umpire@4.0.1
- unifyfs@0.9.0
- upcxx@2020.3.0
- veloc@1.4
- zfp@0.5.5
#- ascent@develop
#- slate@develop ^cuda@10.2.89