vector multiplication

vector multiplication

[¦vek·tər ‚məl·tə·plə′kā·shən]
(mathematics)
The operation which associates to each ordered pair of vectors the cross product of these two vectors.
References in periodicals archive ?
Bordawekar, "Optimizing Sparse Matrix vector Multiplication on GPUs," Tech.
Other topics include scheduling intervals for reconfigurable computing, simultaneous retiming and placement for pipelined netlists, optical flow calculations on FPGA and GPU architectures, and sparse matrix- vector multiplication on a reconfigurable supercomputer.
Algorithm: Vector Multiplication with a Generalized Tensor Product
On the other hand, the proposed stream acceleration approach directly updates the RC or BRC matrix structure, which allows for very efficient matrix vector multiplication as well as GaussSeidel relaxation, and the approach is always faster than the SuiteSparse library.
5] --, Hypergraph-partitioning-based decomposition for parallel sparse-matrix vector multiplication, IEEE Trans.
In particular, this leads to a complexity of O(n) for the matrix vector multiplication with diag [([G.
CPU: CPU time, MV: # of matrix/ vector multiplications, nnz: number of non/zeros of the preconditioner, Res: [parallel][C[v.
In this paper we study a different approach, based on divide-and conquer algorithm, for finding the inverse of matrices, the scalar and vector multiplications are computed by floating point error free algorithms.
In the CGLS algorithm, vector multiplications are required in Equations (12) and (14), which are Kp and [K.
This mainly requires only simple matrix vector multiplications.