Abstract: Preliminary Report for a High Precision Distributed Memory Parallel Eigenvalue Solver
Toshiyuki Imamura, S. Yamada, Masahiko Machida · 2012
This study covers the design and implementation of a DD (double-double) extended parallel eigenvalue solver, namely QPEigenK. We extended most of underlying numerical software layers from BLAS, LAPACK, and ScaLAPACK as well as MPI. Preliminary results show that QPEigenK performs on several platforms, and shows good accuracy and parallel efficiency. We can conclude that the DD format is reasonable data format instead of real (16) format from the viewpoint of programming and performance.