# EESSI paper summary of contributions

(see https://github.com/EESSI/paper-SPE-SI-HPC/pull/101)

* the provision of a rich stack of scientific software that is compatible with, and optimized for, a broad range of systems;

* providing easy access to included software across a broad range of platforms, including HPC systems, personal workstations, and cloud environments;

* the automated selection of the best suited software stack for the CPU microarchitecture of the client system;

* a user-friendly way of globally distributing scientific software installations;

* a centrally managed software stack that is open to contributions from the scientific community;

* facilitating correctness, performance, and scalability testing of included software;

* describing multiple use cases that are supported or enabled by EESSI;

* a preliminary evaluation of leveraging EESSI to run a molecular dynamics simulation on a large-scale system;

* a critical discussion on the challenges and limitations of the current design choices of the EESSI project;