Nov 17, 2006 · The parallel implementation of GCR is addressed, with particular focus on communication costs associated with orthogonalization processes.
Abstract. The parallel implementation of GCR is addressed, with par- ticular focus on communication costs associated with orthogonalization processes.
The parallel implementation of GCR is addressed, with particular focus on communication costs associated with orthogonalization processes.
We investigate the use of sparse approximate inverse techniques in a multilevel block ILU preconditioner to design a robust and efficient parallelizable ...
Efficient parallel algorithms are required to simulate incompressible turbulent flows in complex two- and three-dimensional domains.
Abstract. The parallel implementation of GCR is addressed, with par- ticular focus on communication costs associated with orthogonalization processes.
Cornelis Vuik , Jason Frank: A Parallel Implementation of the Block Preconditioned GCR Method. HPCN Europe 1999: 1052-1060.
Efficient parallel implementation of GCR method requires, in addition to the preconditioner, a proper handling of the matrix vector multiplication and inner.
The block preconditioned form of the conjugate gradient algorithm can be described as follows: Initialization: Given B and X0, let R0 = B- AX09 X0 = X0,_Z0 = 0 ...
Missing: GCR | Show results with:GCR
In this algorithm, we carry a block of vectors along at each iteration, reducing the number of iterations and increasing the length of each message. On machines ...
Missing: GCR | Show results with:GCR