GLAME@lab: An M-script API for Linear Algebra Operations on Graphics Processors
Sergio Barrachina, Maribel Castillo Catalán, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana–Ort́ı · 2008
We propose two high-level application programming interfaces (APIs) to use a graphics processing unit (GPU) as a coprocessor for dense linear algebra operations. Combined with an extension of the FLAME API and an implementation on top of NVIDIA CUBLAS, the result is an efficient and user-friendly tool to design, implement, and execute dense linear algebra operations on the current generation of NVIDIA graphics processors, of wide-appeal to scientists and engineers. As an application of the developed APIs, we implement and evaluate the performance of three different variants of the Cholesky factorization.