%0 Conference Paper %A Liu, Zhenming %A Stathopoulos, Andreas %D 2020 %T A high performance suite of SVD related solvers for machine learning %U https://figshare.com/articles/poster/A_high_performance_suite_of_SVD_related_solvers_for_machine_learning/11782329 %R 10.6084/m9.figshare.11782329.v2 %2 https://ndownloader.figshare.com/files/21501039 %K NSF-CSSI-2020-Talk %K Applied Computer Science %K Computer Software %X We present our recent research progress on joint-optimization for ML algorithm and SVD solver. Our major discovery is that the "stopping criteria" of a SVD algorithm can be directly optimized for downstream ML applications. We will present a few examples, in which when we change the stopping criteria of the "inner SVD algorithm", we see significant performance gain (in running time) in the "outer" ML algorithm. %I figshare