Overview of MTL4: The Matrix Template Library 4 incorporates the most modern programming techniques to provide an easy and intuitive interface to users while enabling optimal performance. The natural mathematical notation in MTL4 empowers all engineers and scientists to implement their algorithms and models in minimal time. All technical aspects are encapsulated in the library. This has two fundamental advantages: Not worrying about technical details speeds up scientific and engineering software development tremendously. Not hard-wiring hardware features in application allows for easy porting to new platforms.
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References in zbMATH (referenced in 7 articles )
Showing results 1 to 7 of 7.
- Demidov, Denis; Ahnert, Karsten; Rupp, Karl; Gottschling, Peter: Programming CUDA and OpenCL: a case study using modern C++ libraries (2013)
- Denis, Christophe; Montan, Sethy: Numerical verification of industrial numerical codes (2012)
- Vidović, D.; Dimkić, M.; Pušić, M.: Accelerated non-linear finite volume method for diffusion (2011)
- Logg, Anders; Wells, Garth N.: DOLFIN: automated finite element computing (2010)
- Gottschling, Peter; Wise, David S.; Joshi, Adwait: Generic support of algorithmic and structural recursion for scientific computing (2009)
- Meerbergen, Karl; Fresl, Krešimir; Knapen, Toon: C++ bindings to external software libraries with examples from BLAS, LAPACK, UMFPACK, and MUMPS (2009)
- Press, William H.; Teukolsky, Saul A.; Vetterling, William T.; Flannery, Brian P.: Numerical recipes in C/C++. The art of scientific computing. Code CD-ROM v 2. 11 with Windows or Macintosh single-screen license. (2002)
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