matrix_assemble_parfor


matrix_assemble_parfor, a MATLAB code which assembles a copy of the Hilbert matrix in parallel, using the parfor() command.

The elements of the Hilbert matrix are defined by:

        A(i,j) = 1 / ( i + j )
      

Licensing:

The information on this web page is distributed under the MIT license.

Languages:

matrix_assemble_parfor is available in a MATLAB version.

Related Data and Programs:

matrix_assemble_parfor_test

collatz_parfor, a MATLAB code which seeks the maximum Collatz sequence between 1 and N, running in parallel using the parfor() command.

heated_plate_parfor, a MATLAB code which solves the steady (time independent) heat equation in a 2D rectangular region, using parfor() to run in parallel.

hello_parfor, a MATLAB code which prints out "Hello, world!" multiple times, using parfor() for parallel execution.

high_card_parfor, a MATLAB code which uses the parfor() statement to compute in parallel the statistics for a card game in which you are required to guess the location of the highest card.

matrix_assemble_parfor, a MATLAB code which uses parfor() for parallel execution to assemble the Hilbert matrix in a parallel loop.

md_parfor, a MATLAB code which carries out a molecular dynamics simulation, running in parallel using the parfor() feature.

ode_sweep_parfor, a MATLAB code which uses parfor() to parallelize the computation of a grid of solutions to a parameterized system of ordinary differential equations (ODE).

prime_parfor, a MATLAB code which counts the number of primes between 1 and N; running in parallel using the parfor() feature.

quad_parfor, a MATLAB code which estimates an integral using quadrature; running in parallel using the parfor() feature.

satisfy_parfor, a MATLAB code which demonstrates, for a particular circuit, an exhaustive search for solutions of the circuit satisfiability problem, running in parallel using the parfor() feature.

sparse_parfor, a MATLAB code which demonstrates how a sparse matrix can be constructed by evaluating individual blocks in parallel with the parfor() command, and then assembled (on a single processor) using the sparse() command.

Reference:

  1. Gaurav Sharma, Jos Martin,
    MATLAB: A Language for Parallel Computing,
    International Journal of Parallel Programming,
    Volume 37, Number 1, pages 3-36, February 2009.

Source Code:


Last revised on 18 December 2023.