• 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. 

                                                  

High Performance

High Productivity

                                                                                                                                                                                                     

HPC programming made easy with MTL4!

Features

 The Matrix Template Library is: 

• Generic, Orthogonal, and Comprehensive: MTL4 includes a large number of data formats and algorithms, including most popular sparse and dense matrix formats and functionality.

• Flexible and Extensible: The MTL4 interface is designed to allow new functionality to be easily incorporated.

• High Performance: Benchmarks with MTL4 on current compilers showed very good performance on the sequential Open-Source Edition as well as on the parallel Supercomputing Edition.

• Reliable: MTL 4 is tested nightly on several compilers.

• Portable: MTL 4 is written in ANSI C++ and can be compiled and used on any target platform with an ANSI C++ compiler. Currently, compilers tested every night are:

• Linux & MacOS
  • clang++ 3.0 (32 bit)
  • g++ 4.1.3 (32 and 64 bit)
  • g++ 4.2.4 (64bit)
  • g++ 4.3.4 (32 and 64 bit)
  • g++ 4.4.3 (32 and 64 bit)
  • g++ 4.5.1 (64 bit)
  • g++ 4.6.0 (64 bit)
  • g++ 4.6.1 (64 bit)
  • icc 9.1 (32 and 64 bit)
  • icc 10.0 (32 and 64 bit)
  • icc 10.1 (32 and 64 bit)
  • icc 11.0 (32 and 64 bit)
  • icc 11.1 (32 and 64 bit)
• Windows
  • VC 8.0 from Visual Studio 2005 (32 bit)
  • VC 9.0 from Visual Studio 2008 (32 bit)
  • VC 10.0 from Visual Studio 2010 (32 bit)

More editions under development:

• Multigrid Edition
• GPU Edition
• Accelerated Dense Edition
  • BLAS interfaces
  • LAPACK interfaces