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Tutorial

FLENS has many great features. Looking through all the examples given in this tutorial should give you a first impression and a quick start.

More tutorials are on the way ...

... so stay tuned.

Session: General Matrix with Full Storage

  • Page 1: We show how to allocate and initialize a general matrix.

  • Page 2: Shows how to change the default index base which is One

  • Page 3: We introduce the concept of matrix views. Matrix views can be used to reference other matrix parts. Furthermore it allows the creation of a FLENS matrix(view) from an existing C-array copying the C-array. The latter is very useful for interfacing with other libraries.

  • Page 4: We introduce dense vectors.

Session: BLAS, CXXBLAS, FLENS-BLAS and Overloaded Operators

  • Page 1: Using CXXBLAS directly. CXXBLAS provides a generic BLAS implementation but also can serve as a interface to high performance BLAS implementations.

  • Page 2: Using FLENS-BLAS which is a high-level interface to CXXBLAS.

  • Page 3: Using overloaded operators for BLAS operations. This is an even higher-level BLAS interface. FLENS has some nice feature that allows logging how BLAS actually gets used for the evaluation of complex linear algebra operations.

  • Page 4: How FLENS helps you avoiding the creation of temporaries when evaluation linear algebra expressions.

Session: Symmetric and Triangular Matrices with Full Storage

  • Page 1: We show how to create triangular and symmetric views from a general matrix.

Session: FLENS-LAPACK

  • Page 1: Computing a LU factorization.

  • Page 2: Computing a QR factorization.

  • Page 3: Solving systems of linear equations.

  • Page 4: Computing eigenvalues and eigenvectors.

Session: Define your own Matrix/Vector Types

  • Page 1: Permutation Matrix.

  • Page 2: Matrix representing a (discrete) differential operator.

Session: Kick-Ass Interface for FLENS-LAPACK

  • Page 1: LU Factorization tupel(P,L,U) = lu(A)

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