Work

Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis

Year: 2019

Type: conference-paper

Abstract: Hierarchical Matrix (H-matrix) is an approximation technique which splits a target dense matrix into multiple submatrices, and where a selected portion of submatrices are low-rank approximated. The technique substantially reduces both time and space complexity of dense matrix vector multiplication, and hence has been applied to numerous practical problems.

Source: International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia)

DOI: 10.1145/3368474.3368479

Authors: Rise Ooi, Takeshi Iwashita, Takeshi Fukaya, Akihiro Ida, Rio Yokota

Institutions: Hokkaido University, The University of Tokyo, Tokyo Institute of Technology

Language: English

Topic: Matrix Theory and Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Japan Society for the Promotion of Science

Awards: Innovative Methods for Scientific Computing in the Exascale Era by Integrations of (Simulation+Data+Learning), Enhancement of H-matrix library and optimization for next generation supercomputers