OpenCL Evaluation for Numerical Linear Algebra Library Development
University of Tennessee Innovative Computing Laboratory
Symposium on Application Accelerators in High Performance Computing, 2010
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 Architectures (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 platformindependent programming for GPUs.
February 17, 2011 by hgpu
