OpenCL Evaluation for Numerical Linear Algebra Library Development
Peng Du, Piotr Łuszczek, Jack J. Dongarra · 2011
With the help of of CUDA [7], [6], many applications improved their performance by using GPUs. In our project called Matrix Algebra on GPU and Multicore Architec-tures (MAGMA) [10], we mainly focus on dense linear algebra routines similar to those from LAPACK [1]. Other than CUDA, there exist other frameworks that allow platform-independent programming for GPUs. The main three frame-works are: 1) DirectCompute from Mircosoft, 2) OpenGL Shading Language (GLSL), and