ecpe4s/e4s-oneapi repository overview

E4S, an HPSF project, is an HPC-AI software ecosystem for science. It’s a curated, Spack based collection of scientific libraries and tools that form the foundation of some of the world’s most advanced scientific applications. E4S curates the largest single collection of open-source GPU-enabled libraries and tools for scientific applications, including support for equation-based modeling and simulation, and AI for science. All E4s public-domain software is thoroughly tested for interoperability and portability to multiple computing architectures and will continue to be enhanced and expanded to address architectural changes and emerging new architectures. While E4S supports many products and distributions, users can confidently select any subset of functionality. We build and test the whole so you can select what you need.

E4S includes support for PyTorch optimized for Intel GPUs, Intel 25.1 C, C++, and Fortran compilers with Intel MPI. Other applications of note in E4S 25.06 include CP2K, DealII, FFTX, GROMACS, LAMMPS, Nek5000, Nekbone, NWChem, OpenFOAM, WarpX, WRF, Quantum Espresso, and Xyce, with support for GPUs where available. VSCodium provides the integrated development environment, Jupyter notebook provides a web-based Python notebook interface. 3D graphics tools include ParaView, VisIt, and TAU. E4S tools updated in release 25.06 include e4s-chain-spack.sh to chain two Spack instances to allow users to install new packages while leveraging pre-installed E4S packages and dependencies, e4s-alc to customize containers from base container images, and e4s-cl to support binary distribution of MPI applications by substituting the MPI library embedded in the containerized application with the system/vendor MPI for near native performance. Rounding out the expanded capabilities of E4S 25.06, E4S is the availability of ParaTools Pro for E4S(TM) [https://paratoolspro.com⁠] on commercial cloud platforms and their marketplaces on Azure, AWS, Google Cloud, and Oracle Cloud Infrastructure with support for GPUs.