Parallel QR Decomposition for Electromagnetic Scattering Problems.
Abstract
This report introduces a new parallel QR decomposition algorithm. Test results are presented for several problem sizes, numbers of processors, and data from the electromagnetic scattering problem domain. The development of the algorithm marks a departure from past parallel QR algorithms. The load balancing method used considers total computational work as opposed to just balancing Givens rotations. This results in expected efficiencies which approach optimal as problem size grows relative to number of processors. The hybrid nature of the algorithm, which maximizes computation between communication and synchronization, indicates potential for good performance on distributed memory machines and networks of workstations. Implementation results on shared memory and distributed shared memory architectures show promise and track expected performance well up to 12 processors.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 11, 1997
- Accession Number
- ADA327246
Entities
People
- Jeff Boleng
Organizations
- Air Force Institute of Technology