xSDK Foundations: Toward an Extreme-scale Scientific Software Development Kit

Journal Article · Wed Mar 01 04:00:00 UTC 2017 · Supercomputing frontiers and innovations

DOI: https://doi.org/10.14529/jsfi170104 · OSTI ID:1361214

Heroux, Michael A. ^[1]; Bartlett, Roscoe ^[1]; Demeshko, Irina ^[2]; Gamblin, Todd ^[3]; Heroux, Michael A. ^[1]; Johnson, Jeffrey ^[4]; Klinvex, Alicia Marie ^[1]; Li, Xiaoye ^[5]; McInnes, Lois Curfman ^[6]; Moulton, J. David ^[2]; Osni-Kuffuor, Daniel ^[3]; Sarich, Jason ^[6]; Smith, Barry ^[6]; Willenbring, James Michael ^[1]; Yang, Ulrike Meier ^[3]; Hammond, Glenn Edward ^[1]

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1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
3. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
4. Salesforce
5. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
6. Argonne National Lab. (ANL), Argonne, IL (United States)

Here, extreme-scale computational science increasingly demands multiscale and multiphysics formulations. Combining software developed by independent groups is imperative: no single team has resources for all predictive science and decision support capabilities. Scientific libraries provide high-quality, reusable software components for constructing applications with improved robustness and portability. However, without coordination, many libraries cannot be easily composed. Namespace collisions, inconsistent arguments, lack of third-party software versioning, and additional difficulties make composition costly. The Extreme-scale Scientific Software Development Kit (xSDK) defines community policies to improve code quality and compatibility across independently developed packages (hypre, PETSc, SuperLU, Trilinos, and Alquimia) and provides a foundation for addressing broader issues in software interoperability, performance portability, and sustainability. The xSDK provides turnkey installation of member software and seamless combination of aggregate capabilities, and it marks first steps toward extreme-scale scientific software ecosystems from which future applications can be composed rapidly with assured quality and scalability.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• Grant/Contract Number: AC04-94AL85000
• OSTI ID: 1361214
• Report Number(s): SAND--2017-2448J; 651500
• Journal Information: Supercomputing frontiers and innovations, Journal Name: Supercomputing frontiers and innovations Journal Issue: 1 Vol. 4; ISSN 2313-8734
• Publisher: South Ural State UniversityCopyright Statement
• Country of Publication: United States
• Language: English