9.2 Calling BLAS/LAPACK Routines from MOSEK

Sometimes users need to perform linear algebra operations that involve dense matrices and vectors. Also MOSEK extensively uses high-performance linear algebra routines from the BLAS and LAPACK packages and some of these routines are included in the package shipped to the users.

The MOSEK versions of BLAS/LAPACK routines:

• use MOSEK data types and return value conventions,

• preserve the BLAS/LAPACK naming convention.

Therefore the user can leverage on efficient linear algebra routines, with a simplified interface, with no need for additional packages.

List of available routines

Table 9.1 BLAS routines available.

BLAS Name	MOSEK function	Math Expression
AXPY	Env.axpy	$y=\alpha x+y$
DOT	Env.dot	$x^{T}y$
GEMV	Env.gemv	$y=\alpha Ax+\beta y$
GEMM	Env.gemm	$C=\alpha AB+\beta C$
SYRK	Env.syrk	$C=\alpha A{A}^T+\beta C$

Table 9.2 LAPACK routines available.

LAPACK Name	MOSEK function	Description
POTRF	Env.potrf	Cholesky factorization of a semidefinite symmetric matrix
SYEVD	Env.syevd	Eigenvalues and eigenvectors of a symmetric matrix
SYEIG	Env.syeig	Eigenvalues of a symmetric matrix

Source code examples

In Listing 9.2 we provide a simple working example. It has no practical meaning except showing how to organize the input and call the methods.

Listing 9.2 Calling BLAS and LAPACK routines from Optimizer API for Rust. Click here to download.

extern crate mosek;

fn print_matrix(x : &[f64], r : i32, c : i32) {
    let mut k = 0usize;
    print!("[");
    println!(" {:?}",&x[k..k+c as usize]); k += c as usize;
    for _i in 1..r  {
        println!("  {:?}",&x[k..k+c as usize]);
    }
    println!("]");
}

#[allow(non_snake_case)]
fn main() -> Result<(),String> {

    let n = 3i32;
    let m = 2i32;
    let k = 3i32;

    let alpha = 2.0;
    let beta  = 0.5;
    let x    = &[1.0, 1.0, 1.0];
    let mut y = vec![1.0, 2.0, 3.0];
    let mut z = vec![1.0, 1.0];
    let A    = &[1.0, 1.0, 2.0, 2.0, 3.0, 3.0];
    let B    = &[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0];
    let mut C = vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0];
    let mut D = vec![1.0, 1.0, 1.0, 1.0];
    let mut Q = vec![1.0, 0.0, 0.0, 2.0];
    let mut v = vec![0.0, 0.0, 0.0];

    let mut xy : f64 = 0.0;

    /* BLAS routines*/
    println!("n={} m={} k={}", m, n, k);
    println!("alpha={}", alpha);
    println!("beta={}", beta);

    mosek::dot(n,x,y.as_slice(),& mut xy)?;
    println!("dot results = {}\n", xy);

    print_matrix(x, 1, n);
    print_matrix(y.as_slice(), 1, n);

    mosek::axpy(n, alpha, x, y.as_mut_slice())?;
    println!("axpy results is:\n");
    print_matrix(y.as_slice(), 1, n);


    mosek::gemv(mosek::Transpose::NO, m, n, alpha, A, x, beta, z.as_mut_slice())?;
    println!("gemv results is:");
    print_matrix(z.as_slice(), 1, m);

    mosek::gemm(mosek::Transpose::NO, mosek::Transpose::NO, m, n, k, alpha, A, B, beta, C.as_mut_slice())?;
    println!("gemm results is");
    print_matrix(C.as_slice(), m, n);

    mosek::syrk(mosek::Uplo::LO, mosek::Transpose::NO, m, k, 1., A, beta, D.as_mut_slice())?;
    println!("syrk results is");
    print_matrix(D.as_slice(), m, m);

    /* LAPACK routines*/

    mosek::potrf(mosek::Uplo::LO, m, Q.as_mut_slice())?;
    println!("potrf results is");
    print_matrix(Q.as_slice(), m, m);

    mosek::syeig(mosek::Uplo::LO, m, Q.as_slice(), & mut v[0..m as usize])?;
    println!("syeig results is");
    print_matrix(v.as_slice(), 1, m);

    mosek::syevd(mosek::Uplo::LO, m, Q.as_mut_slice(), &mut v[0..m as usize])?;
    println!("syevd results is");
    print_matrix(v.as_slice(), 1, m);
    print_matrix(Q.as_slice(), m, m);

    Ok(())
}