From 0007b57308d8019a42ad3663d754dd7b7ca1512e Mon Sep 17 00:00:00 2001 From: eugeneswalker <38933153+eugeneswalker@users.noreply.github.com> Date: Mon, 6 May 2024 11:16:13 -0700 Subject: [PATCH] Update README.md Updating readme for 24.05 release --- environments/24.05/README.md | 95 ++++++++++++++++++------------------ 1 file changed, 48 insertions(+), 47 deletions(-) diff --git a/environments/24.05/README.md b/environments/24.05/README.md index ef7e373..d6c3b7a 100644 --- a/environments/24.05/README.md +++ b/environments/24.05/README.md @@ -1,15 +1,15 @@ -# E4S Release 24.02 +# E4S Release 24.05 -February 2024 release of E4S +May 2024 release of E4S ## Files -* `amd64-gcc-cpu-ubuntu20.04/spack.yaml` -- Model Spack Environment for systems without GPU (amd64) -* `amd64-gcc-cuda-ubuntu20.04/spack.yaml` -- Model Spack Environment for systems with NVIDIA GPUs (amd64) -* `amd64-gcc-rocm-ubuntu20.04/spack.yaml` -- Model Spack Environment for systems with AMD GPUs (amd64) +* `amd64-gcc-cpu-ubuntu22.04/spack.yaml` -- Model Spack Environment for systems without GPU (amd64) +* `amd64-gcc-cuda-ubuntu22.04/spack.yaml` -- Model Spack Environment for systems with NVIDIA GPUs (amd64) +* `amd64-gcc-rocm-ubuntu22.04/spack.yaml` -- Model Spack Environment for systems with AMD GPUs (amd64) * `amd64-oneapi-ubuntu22.04/spack.yaml` -- Model Spack Environment for systems with Intel GPUs (amd64) -* `arm64-gcc-cpu-ubuntu20.04/spack.yaml` -- Model Spack Environment for systems without GPU (arm64) -* `arm64-gcc-cuda-ubuntu20.04/spack.yaml` -- Model Spack Environment for systems with NVIDIA GPUs (arm64) +* `arm64-gcc-cpu-ubuntu22.04/spack.yaml` -- Model Spack Environment for systems without GPU (arm64) +* `arm64-gcc-cuda-ubuntu22.04/spack.yaml` -- Model Spack Environment for systems with NVIDIA GPUs (arm64) * `ppc64le-gcc-cpu-ubuntu20.04/spack.yaml` -- Model Spack Environment for systems without GPUs (ppc64le) * `ppc64le-gcc-cuda-ubuntu20.04/spack.yaml` -- Model Spack Environment for systems with NVIDIA GPUs (ppc64le) @@ -20,17 +20,17 @@ Alongside the Spack environments listed above there are `concretize.log` files w ## Spack Version -E4S 24.02 uses Spack branch `e4s-24.02` +E4S 24.05 uses Spack branch `e4s-24.05` * https://github.com/spack/spack -* Branch [e4s-24.02](https://github.com/spack/spack/tree/e4s-24.02) +* Branch [e4s-24.05](https://github.com/spack/spack/tree/e4s-24.05) ## Spack Build Cache -* https://cache.e4s.io/24.02 (not intended for web browser access; for use as a `spack mirror`) +* https://cache.e4s.io/24.05 (not intended for web browser access; for use as a `spack mirror`) ``` -$> spack mirror add E4S https://cache.e4s.io/24.02 +$> spack mirror add E4S https://cache.e4s.io/24.05 $> spack buildcache keys -it gpg: key 4345F04B40005581: public key "University of Oregon - E4S" imported @@ -45,68 +45,69 @@ $> spack buildcache list -al ## Model Environments * Model environment for NVIDIA GPUs on amd64 is: - * `amd64-gcc-cuda-ubuntu20.04/spack.yaml` + * `amd64-gcc-cuda-ubuntu22.04/spack.yaml` * For `cuda_arch=80` and `cuda_arch=90` * Built and tested using: - * `Ubuntu 20.04, GCC 11.4.0` - * `ecpe4s/ubuntu20.04-runner-amd64-gcc-11.4-mpi-base:2023.08.20` + * `Ubuntu 22.04, GCC 11.4.0` + * `ecpe4s/e4s-release-base-cuda-amd64:24.05 * Model environment for NVIDIA GPUs on ppc64le is: * `ppc64le-gcc-cuda-ubuntu20.04/spack.yaml` * For `cuda_arch=70` * Built and tested using: * `Ubuntu 20.04, GCC 9.4.0` - * `ecpe4s/ubuntu20.04-runner-ppc64-gcc-11.4-mpi-base:2023.08.20` + * `ecpe4s/e4s-release-base-cuda-ppc64:24.05` * Model environment for NVIDIA GPUs on arm64 is: - * `arm64-gcc-cuda-ubuntu20.04/spack.yaml + * `arm64-gcc-cuda-ubuntu22.04/spack.yaml * For `cuda_arch=75`, `cuda_arch=80`, `cuda_arch=90` * Built and tested using: - * `Ubuntu 20.04, GCC 11.4.0` - * `ecpe4s/ubuntu20.04-runner-arm64-gcc-11.4-mpi-base:2023.08.20` + * `Ubuntu 22.04, GCC 11.4.0` + * `ecpe4s/e4s-release-base-cuda-arm64:24.05` * Model environment for AMD GPUs on x86_64 is: - * `amd64-gcc-rocm-ubuntu20.04/spack.yaml` + * `amd64-gcc-rocm-ubuntu22.04/spack.yaml` * For `amdgpu_target=gfx908` and `amdgpu_target=gfx90a` * Built and tested using: - * `Ubuntu 20.04, GCC 11.4.0` - * `ecpe4s/ubuntu20.04-runner-amd64-gcc-11.4-rocm5.4.3-mpi-base:2023.08.20` + * `Ubuntu 22.04, GCC 11.4.0` + * `ecpe4s/e4s-release-base-rocm-amd64:24.05` * Model environment for Intel GPUs on x86_64 is: * `amd64-oneapi-ubuntu22.04/spack.yaml` * Built and tested using: * `Ubuntu 22.04, OneAPI 2024.0.1` - * `ecpe4s/ubuntu22.04-runner-amd64-oneapi-2024.0.1:2024.01.22` + * `ecpe4s/e4s-release-base-oneapi-amd64:24.05` * Derived from Intel's official `intel/hpckit:2024.0.1-devel-ubuntu22.04` image ## Example output of `spack find` -Here is what `spack find` would show following the installation of the `amd64-gcc-cuda-ubuntu20.04/spack.yaml` with the `cuda_arch=80` specs enabled. +Here is what `spack find` would show following the installation of the `amd64-gcc-cuda-ubuntu22.04/spack.yaml` with the `cuda_arch=80` specs enabled. ``` root@0741a576c1d4:/# spack find -x --- linux-ubuntu20.04-x86_64 / gcc@11.4.0 ------------------------ -adios@1.13.1 chai@2022.03.0 flux-core@0.58.0 hpx@1.9.1 metall@0.25 paraview@5.11.2 raja@2022.10.4 trilinos@13.0.1 -adios2@2.7.1 chai@2022.03.0 flux-core@0.58.0 hypre@2.30.0 mfem@4.6.0 paraview@5.11.2 rempi@1.1.0 trilinos@14.4.0 -adios2@2.9.2 charliecloud@0.35 fortrilinos@2.3.0 hypre@2.30.0 mfem@4.6.0 parsec@3.0.2209 scr@3.0.1 trilinos@15.0.0 -alquimia@1.1.0 conduit@0.8.8 gasnet@2023.9.0 kokkos@4.2.00 mgard@2023-03-31 parsec@3.0.2209 slate@2023.08.25 turbine@1.3.0 -aml@0.2.1 cp2k@2024.1 ginkgo@1.7.0 kokkos@4.2.00 mgard@2023-03-31 pdt@3.25.2 slate@2023.08.25 umap@2.1.0 -amrex@24.01 cuda@11.8.0 ginkgo@1.7.0 kokkos-kernels@4.2.00 mpark-variant@1.4.0 petsc@3.20.3 slepc@3.20.1 umpire@2022.10.0 -amrex@24.01 cusz@0.3.1 globalarrays@5.8.2 kokkos-kernels@4.2.00 mpich@4.1.2 petsc@3.20.3 slepc@3.20.1 umpire@2022.10.0 -arborx@1.5 darshan-runtime@3.4.4 gmp@6.2.1 lammps@20230802.2 mpifileutils@0.11.1 phist@1.12.0 stc@0.9.0 unifyfs@2.0 -arborx@1.5 darshan-util@3.4.4 gotcha@1.0.5 lammps@20230802.2 nccmp@1.9.1.0 plasma@23.8.2 strumpack@7.2.0 upcxx@2023.9.0 -argobots@1.1 datatransferkit@3.1.1 gptune@4.0.0 lbann@0.104 nco@5.1.6 plumed@2.9.0 strumpack@7.2.0 upcxx@2023.9.0 -ascent@0.9.2 dealii@9.5.1 gromacs@2023.3 lbann@0.104 netlib-scalapack@2.2.0 precice@2.5.0 sundials@6.7.0 variorum@0.7.0 -axom@0.8.1 dealii@9.5.1 gromacs@2023.3 legion@23.06.0 nrm@0.1.0 pruners-ninja@1.0.1 sundials@6.7.0 veloc@1.7 -axom@0.8.1 dyninst@12.3.0 h5bench@1.4 legion@23.06.0 nvhpc@23.11 pumi@2.2.8 superlu@5.3.0 visit@3.3.3 -bolt@2.0 ecp-data-vis-sdk@1.0 hdf5@1.12.3 libcatalyst@2.0.0-rc4 omega-h@9.34.13 py-cinemasci@1.3 superlu-dist@8.2.1 vtk-m@2.0.0 -boost@1.79.0 ecp-data-vis-sdk@1.0 hdf5-vol-async@1.7 libnrm@0.1.0 omega-h@9.34.13 py-h5py@3.8.0 superlu-dist@8.2.1 vtk-m@2.1.0 -bricks@2023.08.25 exago@1.6.0 hdf5-vol-cache@v1.1 libpressio@0.95.1 openfoam@2312 py-jupyterhub@1.4.1 swig@4.0.2-fortran wannier90@3.1.0 -bricks@2023.08.25 exago@1.6.0 hdf5-vol-log@1.4.0 libpressio@0.95.1 openmpi@5.0.1 py-libensemble@1.1.0 sz@2.1.12.5 xyce@7.8.0 -butterflypack@2.4.0 exaworks@0.1.0 heffte@2.4.0 libquo@1.3.1 openpmd-api@0.15.2 py-petsc4py@3.20.2 sz3@3.1.7 zfp@0.5.5 -cabana@0.6.0 faodel@1.2108.1 heffte@2.4.0 libunwind@1.6.2 papi@7.1.0 py-warpx@23.08 tasmanian@8.0 zfp@0.5.5 -cabana@0.6.0 flecsi@2.2.1 hpctoolkit@2023.08.1 loki@0.1.7 papi@7.1.0 qthreads@1.18 tasmanian@8.0 -caliper@2.10.0 flecsi@2.2.1 hpctoolkit@2023.08.1 magma@2.7.2 papyrus@1.0.2 quantum-espresso@7.3 tau@2.33.1 -caliper@2.10.0 flit@2.1.0 hpx@1.9.1 mercury@2.3.1 parallel-netcdf@1.12.3 raja@2022.10.4 tau@2.33.1 -==> 173 installed packages +-- linux-ubuntu22.04-x86_64 / gcc@11.4.0 ------------------------ +adios@1.13.1 chai@2024.02.0 flit@2.1.0 hpctoolkit@2024.01.1 magma@2.8.0 papi@7.1.0 py-warpx@23.08 tasmanian@8.0 +adios2@2.7.1 charliecloud@0.37 flux-core@0.61.2 hpx@1.9.1 mercury@2.3.1 papyrus@1.0.2 qthreads@1.18 tau@2.33.2 +adios2@2.10.0 conduit@0.9.1 flux-core@0.61.2 hpx@1.9.1 metall@0.25 parallel-netcdf@1.12.3 quantum-espresso@7.3.1 tau@2.33.2 +alquimia@1.1.0 cp2k@2024.1 fortrilinos@2.3.0 hypre@2.31.0 mfem@4.6.0 paraview@5.12.0 raja@2024.02.0 trilinos@13.0.1 +aml@0.2.1 cuda@11.8.0 fpm@0.10.0 hypre@2.31.0 mfem@4.6.0 paraview@5.12.0 raja@2024.02.0 trilinos@15.1.1 +amrex@24.04 cuda@12.2.0 gasnet@2023.9.0 kokkos@4.3.00 mgard@2023-12-09 parsec@3.0.2209 rempi@1.1.0 trilinos@15.1.1 +amrex@24.04 cusz@0.3.1 ginkgo@1.7.0 kokkos@4.3.00 mpark-variant@1.4.0 parsec@3.0.2209 scr@3.0.1 turbine@1.3.0 +arborx@1.6 darshan-runtime@3.4.4 ginkgo@1.7.0 kokkos-kernels@4.3.00 mpich@4.1.2 pdt@3.25.2 slate@2023.11.05 umap@2.1.0 +arborx@1.6 darshan-util@3.4.4 globalarrays@5.8.2 kokkos-kernels@4.3.00 mpifileutils@0.11.1 petsc@3.21.0 slate@2023.11.05 umpire@2024.02.0 +argobots@1.2 datatransferkit@3.1.1 glvis@4.2 laghos@3.1 nccmp@1.9.1.0 petsc@3.21.0 slepc@3.21.0 umpire@2024.02.0 +ascent@0.9.2 dealii@9.5.1 gmp@6.2.1 lammps@20230802.3 nco@5.1.9 phist@1.12.0 slepc@3.21.0 unifyfs@2.0 +axom@0.9.0 dealii@9.5.1 gotcha@1.0.6 lammps@20230802.3 nek5000@19.0 plasma@23.8.2 stc@0.9.0 upcxx@2023.9.0 +axom@0.9.0 dyninst@13.0.0 gptune@4.0.0 lbann@0.104 nekbone@17.0 plumed@2.9.0 strumpack@7.2.0 upcxx@2023.9.0 +bolt@2.0 e4s-alc@1.0.1 gromacs@2024.1 lbann@0.104 netcdf-fortran@4.6.1 precice@3.1.1 strumpack@7.2.0 variorum@0.7.0 +boost@1.79.0 e4s-cl@1.0.3 gromacs@2024.1 legion@24.03.0 netlib-scalapack@2.2.0 pruners-ninja@1.0.1 sundials@7.0.0 veloc@1.7 +bricks@2023.08.25 ecp-data-vis-sdk@1.0 h5bench@1.4 legion@24.03.0 nrm@0.1.0 pumi@2.2.8 sundials@7.0.0 visit@3.3.3 +bricks@2023.08.25 ecp-data-vis-sdk@1.0 hdf5@1.12.3 libcatalyst@2.0.0-rc4 nvhpc@24.3 py-cinemasci@1.3 superlu@5.3.0 vtk-m@2.0.0 +butterflypack@2.4.0 exago@1.6.0 hdf5-vol-async@1.7 libnrm@0.1.0 omega-h@9.34.13 py-deephyper@0.6.0 superlu-dist@8.2.1 vtk-m@2.1.0 +cabana@0.6.0 exago@1.6.0 hdf5-vol-cache@v1.1 libpressio@0.95.1 omega-h@9.34.13 py-h5py@3.11.0 superlu-dist@8.2.1 wannier90@3.1.0 +cabana@0.6.0 exaworks@0.1.0 hdf5-vol-log@1.4.0 libpressio@0.95.1 openfoam@2312 py-jupyterhub@1.4.1 swig@4.0.2-fortran xyce@7.8.0 +caliper@2.10.0 faodel@1.2108.1 heffte@2.4.0 libquo@1.4 openmpi@5.0.3 py-libensemble@1.2.2 sz@2.1.12.5 zfp@0.5.5 +caliper@2.10.0 flecsi@2.2.1 heffte@2.4.0 libunwind@1.6.2 openpmd-api@0.15.2 py-petsc4py@3.21.0 sz3@3.1.7 zfp@0.5.5 +chai@2024.02.0 flecsi@2.2.1 hpctoolkit@2024.01.1 loki@0.1.7 papi@7.1.0 py-torch@2.2.2 tasmanian@8.0 +==> 183 installed packages ```