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New Generation of WIPL-D in-Core Multi-GPU Solver
- 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.
- Subjects :
- Computer science
020208 electrical & electronic engineering
020206 networking & telecommunications
02 engineering and technology
Software_PROGRAMMINGTECHNIQUES
Method of moments (statistics)
Solver
LU decomposition
Single-precision floating-point format
Matrix decomposition
law.invention
Computational science
Acceleration
Matrix (mathematics)
law
Personal computer
0202 electrical engineering, electronic engineering, information engineering
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting
- Accession number :
- edsair.doi...........94819524f7e2f445f5c1bad62b98b937