Ramakrishnan (Ramki) Kannan

Highlights

Performance (In GFlop/sec) of the 3D sparse triangular solver
A communication-avoiding 3D algorithm for sparse LU factorization on heterogeneous systems

We propose a new algorithm to improve the strong scalability of right-looking sparse LU factorization on distributed memory systems. Our 3D algorithm for sparse LU uses a three-dimensional MPI…

Steps involved in MF-NMF
Multifrontal Non-negative Matrix Factorization

Non-negative matrix factorization(Nmf) is an important tool in high-performance large scale data analytics with applications ranging from community detection, recommender system, feature detection…

Performance (In GFlop/sec) of the 3D sparse triangular solver
A communication-avoiding 3D sparse triangular solver

We present a novel distributed memory algorithm to improve the strong scalability of the solution of a sparse triangular system. This operation appears in the solve phase of direct methods for…

Illustration of distributed memory algorithm for 3-way tensor on a 3×3×3 processor grid, showing data distribution, communication, and computation across steps.
Parallel Nonnegative CP Decomposition of Dense Tensors

The last few decades have witnessed a significant increase in the sophistication of scientific instruments. This sophistication has led to an exponential increase in scientific data, so much so that…