Back to Search Start Over

New Generation of WIPL-D in-Core Multi-GPU Solver

Authors :
Milan M. Kostic
Branko Li. Mrdakovic
Dragan I. Olcan
Branko M. Kolundzija
Source :
2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting.
Publication Year :
2018
Publisher :
IEEE, 2018.

Abstract

Acceleration of in-core LU decomposition by using multiple GPUs in parallel and comparison of performance of two different GPU types, is presented in this paper. The presented algorithm for LU decomposition enables highly efficient utilization of an arbitrary number of GPUs. Comparison of performance of up to 8 GTX 680 GPUs and up to 4 GTX 1080 Ti GPUs is shown. The results presented show that a dense MoM matrix with 100 000 complex unknowns in single precision can be LU decomposed in 3.7 minutes, on a personal computer equipped with 4 GTX 1080 Ti GPUs.

Details

Database :
OpenAIRE
Journal :
2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting
Accession number :
edsair.doi...........94819524f7e2f445f5c1bad62b98b937