Exact(14)
Businesses often use both parallel and vector computers, depending on the problem.
Drastic speedup is obtained by the algorithms on vector computers.
The introduction of vector computers started the area of 'Supercomputing'.
The method consists mostly of algebraic manipulations and is very efficient on vector computers.
The initial success of vector computers in the seventies was driven by raw performance.
Going further, the chapter describes an entirely different representation mechanism suitable for vector computers.
Similar(46)
An algorithm is devised to reduce the computing time by using a vector computer.
Depending on the vector computer used, a speedup of 3.5 to 8 is achieved for the fastest algorithm.
Numerical experiments on a 16 processor vector computer are used to test the high accuracy of the discretization scheme as well as the fast convergence and the parallelization or vectorization efficiency of the solution method.
This is demonstrated in the present paper by applying two parallel-vector computers, one with shared memory and the other with distributed memory, to the computation of stirred vessel flows for a wide range of Reynolds numbers, including laminar and turbulent regimes.
Advances in parallel-vector computers have resulted in a computer architecture that is able to provide the computer power needed for large-scale flow predictions.
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