We are happy to announce a talk by Prof. Thomas Kühne (University of Paderborn) in the NHR PerfLab seminar.
Towards exascale simulations using the submatrix method and approximate computing
We present the submatrix method and a novel linear-scaling electronic-structure method in conjunction with approximate computing, as well as the implementation of the technique in CP2K. Even though initially proposed for inverse p-th roots , it has recently been recognized that the submatrix method represents a general method to approximate arbitrary matrix functions such as the matrix-sign function of large sparse matrices. The Matrix-sign function is the essential workhorse of linear-scaling electronic-structure theory, and we present an intuitive chemical justification for the accuracy of the submatrix method. We will discuss the efficient implementation of the submatrix method into CP2K with a special focus on limiting communication between compute nodes. The resulting compute kernel is the sign function of a relatively small but dense matrix. Our optimized implementation with a simple diagonalization-based evaluation of the sign function of the submatrices outperforms the Newton-Schulz Sign iteration in initial results , especially for larger cutoffs of matrix elements. This observation shows that the submatrix method will be a valuable tool in the context of approximate computing.
Date and time: Tuesday, October 5, 2 p.m. – 3 p.m.
Zoom link: https://fau.zoom.us/j/68603607738