## iSVD

A parallel low-rank approximate singular value decomposition solver using integrated randomized algorithm.

A parallel low-rank approximate singular value decomposition solver using integrated randomized algorithm.

A numerical linear algebra package containing multiple solvers with Monte Carlo method.

GWAS project deals with large scale GWAS problem which contains tens of billions of linear regression and t-test.

A direct linear solver exploiting the sparse structure of multilevel nested dissection matrix to maximize parallel scalability on multinode GPU clusters.

A parallel stochastic search algorithm for information criterion variable selection problems.

An n-body simulation using fast multipole method (FMM) with CPU GPU acceleration.

A parallel linear system solver for sparse symmetric positive definite matrices using direct/iterative method on each parts of k-way vertex partitioning to maximize parallel scalability on multinode systems.