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The Architecture of Scientific Software

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Cover of 'The Architecture of Scientific Software'

Table of Contents

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    Book Overview
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    Chapter 1 Network-Based Scientific Computing
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    Chapter 2 Future Generations of Problem—Solving Environments
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    Chapter 3 Developing an Architecture to Support the Implementation and Development of Scientific Computing Applications
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    Chapter 4 PETSc and Overture: Lessons Learned Developing an Interface between Components
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    Chapter 5 Component Technology for High-Performance Scientific Simulation Software
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    Chapter 6 A New Approach to Software Integration Frameworks for Multi-Physics Simulation Codes
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    Chapter 7 Code Coupling Using Parallel Corba Objects
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    Chapter 8 A Collaborative Code Development Environment for Computational Electro-Magnetics
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    Chapter 9 On the Role of Mathematical Abstractions for Scientific Computing
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    Chapter 10 Object-Oriented Modeling of Parallel PDE Solvers
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    Chapter 11 Broadway: A Software Architecture for Scientific Computing
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    Chapter 12 Formal Methods for High-Performance Linear Algebra Libraries
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    Chapter 13 New Generalized Matrix Data Structures Lead to a Variety of High-Performance Algorithms
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    Chapter 14 A Comprehensive DFT API for Scientific Computing
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    Chapter 15 Using a Fortran Interface to Posix Threads
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    Chapter 16 Data Management Systems for Scientific Applications
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    Chapter 17 Software Components for Application Development
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    Chapter 18 Hierarchichal Representation and Computation of Approximate Solutions in Scientific Simulations
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    Chapter 19 Software Architecture for the Investigation of Controllable Models with Complex Data Sets
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    Chapter 20 A Mixed-Language Programming Methodology for High Performance Java Computing
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    Chapter 21 The Architecture of Scientific Software: The Conference
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    Chapter 22 Erratum to: The Architecture of Scientific Software
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Title
The Architecture of Scientific Software
Published by
Springer US, April 2013
DOI 10.1007/978-0-387-35407-1
ISBNs
978-1-4757-6719-3, 978-0-387-35407-1
Editors

Boisvert, Ronald F., Tang, Ping Tak Peter

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Doctoral Student 2 22%
Student > Bachelor 1 11%
Lecturer 1 11%
Student > Master 1 11%
Other 1 11%
Readers by discipline Count As %
Computer Science 4 44%
Economics, Econometrics and Finance 1 11%
Physics and Astronomy 1 11%
Social Sciences 1 11%
Medicine and Dentistry 1 11%
Other 1 11%