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Exascale applications: skin in the game.

Francis Alexander1, Ann Almgren2, John Bell2

  • 1Brookhaven National Laboratory, Upton, NY, USA.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|January 21, 2020
PubMed
Summary

Exascale applications are critical for the US Department of Energy Exascale Computing Project, driving scientific discovery and national security. These high-performance computing applications aim to deliver breakthrough solutions for complex challenges.

Keywords:
computational science applicationsexascalehigh-performance computingmachine learningmodelling and simulationnumerical algorithms

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Area of Science:

  • High-performance computing
  • Computational science
  • Data science

Background:

  • The concept of 'skin in the game' signifies risk and involvement in achieving a goal.
  • Exascale applications are under development by the US Department of Energy Exascale Computing Project.
  • The term 'skin' refers to exascale applications, and 'game' represents the delivery of comprehensive computational solutions.

Purpose of the Study:

  • To highlight the critical role of exascale applications in high-performance computing.
  • To emphasize the 'skin in the game' metaphor in the context of exascale computing projects.
  • To outline the potential impact of these applications on scientific discovery and national challenges.

Main Methods:

  • Focus on the development of exascale applications.
  • Leveraging high-performance computing technologies.
  • Integrating modeling, simulation, and data science.

Main Results:

  • Exascale applications are designed to effectively exploit high-performance computing.
  • These applications aim to provide breakthrough solutions.
  • The goal is to yield high-confidence insights for critical US challenges.

Conclusions:

  • Exascale applications are essential for advancing scientific discovery, national security, energy assurance, economic competitiveness, and healthcare.
  • The successful development and deployment of these applications represent a significant undertaking with high stakes.
  • This work is part of a broader discussion on numerical algorithms for high-performance computational science.