The implicit QR algorithm is a serial iterative algorithm for determining all the eigenvalues of an \(n \times n\) symmetric tridiagonal matrix \(A\). About \(3 n\) iterations, each requiring the serial application of about \(n\) similarity planar transformations, are required to reduce \(A\) to dia
A family of parallel QR factorization algorithms
โ Scribed by Meyer, Gerard G.L.; Pascale, Mike
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 624 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1040-3108
No coin nor oath required. For personal study only.
โฆ Synopsis
Rapid computation of the QR factorization of a matrix is fundamental to many scientific and engineering problems. The paper presents a family of algorithms parameterized by the number of processors available P, arithmetic grain aggregation parameters gl ,@, . . . ,gp, and communication grain aggregation parameter h, which compute the QR factorization of a matrix A E Cmx" with minimal latency. The approach is particularly well suited for dedicated distributed memory architectures such as linear arrays of INMOS Tkansputers, Texas Instruments C40s or Analog Devices 21060s.
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