%0 Conference Paper %B 2015 SIAM Conference on Applied Linear Algebra (SIAM LA) %D 2015 %T Efficient Eigensolver Algorithms on Accelerator Based Architectures %A Azzam Haidar %A Piotr Luszczek %A Stanimire Tomov %A Jack Dongarra %X The enormous gap between the high-performance capabilities of GPUs and the slow interconnect between them has made the development of numerical software that is scalable across multiple GPUs extremely challenging. We describe a successful methodology on how to address the challenges -starting from our algorithm design, kernel optimization and tuning, to our programming model- in the development of a scalable high-performance symmetric eigenvalue and singular value solver. %B 2015 SIAM Conference on Applied Linear Algebra (SIAM LA) %I SIAM %C Atlanta, GA %8 2015-10 %G eng