GPGPU

Some of the dense linear algebra codes developed as part of the articles:

Solving dense linear systems on graphics processors

and

Exploiting the capabilities of modern GPUs for dense matrix computations

can be downloaded using the «Software request form» (follow link to the right or above). These include LAPACK-like code samples for the Cholesky factorization and the LU factorization with partial pivoting. Codes are provided under the BSD license.

FLAG/C and FLAG@lab are respectively C and matlab application programming interfaces (APIs) to develop FLAME-like codes for dense linear algebra operations on GPUs. Refer to the FLAME webpage to learn more about this approach.

Read the FLAG/C Users Guide for more information.