Resources

Massively scalable computing method to tackle large eigenvalue problems for nanoelectronics modeling

This talk will help you learn how Lanczos iterative algorithm can be extended with a parallel computing to solve highly degenerated systems. The talk will address the performance benefits of the core numerical operations in Lanczos iteration, which can be driven with manycore processors (KNL) compared to the heterogeneous systems containing PCI-E and-in devices. This work will also demonstrate an extremely large-scale benchmark (~2500 KNL computing nodes) that has been recently performed with KISTI-5 (NURION) HPC resource. As this talk covers the numerical details of the algorithm, it would be also quite instructive to those who consider KNL system to solve large-scale eigenvalue problems.

Event Name

IXPUG Webinar Series

Keywords

Xeon Phi,MPI,OpenMP

Video Name

Webinar recording