Bits and Bugs
A Scientific and Historical Review of Software Failures in Computational Science
Thomas Huckle & Tobias Neckel
Bits and Bugs
A Scientific and Historical Review of Software Failures in Computational Science
Thomas Huckle & Tobias Neckel
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Omschrijving
Describes reported software failures related to the major topics within scientific computing: mathematical modeling of phenomena; numerical analysis; mathematical aspects and complexity of algorithms, systems, or software; concurrent computing; and numerical data.
Thomas Huckle has been professor of scientific computing at the Technical University of Munich since 1995. He has conducted research at Stanford University (1993), UCLA (2000), and Leeds University (2006) and in Como, Italy (2011). His research focuses on topics in numerical linear algebra, such as preconditioning, regularization methods, multigrid methods, structured matrices, and tensors, and algorithms for parallel and high-performance computing. Since 1999, he has maintained a web page called Collection of Software Bugs.
Tobias Neckel is senior researcher in scientific computing at the Technical University of Munich and has conducted research at the École Polytechnique, France (2003), the Tokyo Institute of Technology (2008), and the Australian National University (2017). His research interests include the numerical solution of partial differential equations, hierarchic and adaptive methods, uncertainty quantification, and various aspects of high-performance computing.
Thomas Huckle has been professor of scientific computing at the Technical University of Munich since 1995. He has conducted research at Stanford University (1993), UCLA (2000), and Leeds University (2006) and in Como, Italy (2011). His research focuses on topics in numerical linear algebra, such as preconditioning, regularization methods, multigrid methods, structured matrices, and tensors, and algorithms for parallel and high-performance computing. Since 1999, he has maintained a web page called Collection of Software Bugs.
Tobias Neckel is senior researcher in scientific computing at the Technical University of Munich and has conducted research at the École Polytechnique, France (2003), the Tokyo Institute of Technology (2008), and the Australian National University (2017). His research interests include the numerical solution of partial differential equations, hierarchic and adaptive methods, uncertainty quantification, and various aspects of high-performance computing.