Software for Exascale Computing - SPPEXA 2016-2019
Material type:
ArticleLanguage: English Publication details: Springer Nature 2020Description: 1 electronic resource (620 p.)ISBN: - 978-3-030-47956-5
- Computer modelling & simulation
- Systems analysis & design
- Maths for scientists
- Computer networking & communications
- Maths for engineers
- Mathematical physics
- Simulation and Modeling
- Performance and Reliability
- Computational Science and Engineering
- Input/Output and Data Communications
- Mathematical and Computational Engineering
- Numerical and Computational Physics, Simulation
- Computer Science
- Computer Hardware
- Mathematical and Computational Engineering Applications
- Theoretical, Mathematical and Computational Physics
- open access
- computational algorithms and numerical methods
- data management and exploration
- high-performance computing
- simulation software and applications
- system software and software tools
- Computer modelling & simulation
- Systems analysis & design
- Maintenance & repairs
- Maths for scientists
- Computer networking & communications
- Distributed databases
- Maths for engineers
- Mathematical physics
| Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
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Electronic-Books
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OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access star Unrestricted online access
This open access book summarizes the research done and results obtained in the second funding phase of the Priority Program 1648 "Software for Exascale Computing" (SPPEXA) of the German Research Foundation (DFG) presented at the SPPEXA Symposium in Dresden during October 21-23, 2019. In that respect, it both represents a continuation of Vol. 113 in Springer's series Lecture Notes in Computational Science and Engineering, the corresponding report of SPPEXA's first funding phase, and provides an overview of SPPEXA's contributions towards exascale computing in today's sumpercomputer technology. The individual chapters address one or more of the research directions (1) computational algorithms, (2) system software, (3) application software, (4) data management and exploration, (5) programming, and (6) software tools. The book has an interdisciplinary appeal: scholars from computational sub-fields in computer science, mathematics, physics, or engineering will find it of particular interest.
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