%0 Conference Paper %B 2015 SIAM Conference on Applied Linear Algebra %D 2015 %T Mixed-precision orthogonalization process Performance on multicore CPUs with GPUs %A Ichitaro Yamazaki %A Jesse Barlow %A Stanimire Tomov %A Jakub Kurzak %A Jack Dongarra %X Orthogonalizing a set of dense vectors is an important computational kernel in subspace projection methods for solving large-scale problems. In this talk, we discuss our efforts to improve the performance of the kernel, while maintaining its numerical accuracy. Our experimental results demonstrate the effectiveness of our approaches. %B 2015 SIAM Conference on Applied Linear Algebra %I SIAM %C Atlanta, GA %8 2015-10 %G eng