
doi: 10.1137/0912081
A parallel scheme for the solution of linear systems of ordinary initial value problems (1) \(y'=Ay+f(x)\), \(y(a)=y_ 0\), is developed and tested where \(y\) and \(f\) are \(n\)-dimensional vectors and \(A\) is an \(n\times n\) matrix. The solution is considered on an iPSC/2 INTEL hypercube which is a multiple instruction-multiple data machine, consisting of several processors in hypercube connection. As a result of using the box scheme to discretize (1) one obtains, in parallel, fundamental solutions on subintervals. The resulting systems of equations is solved by a modified version of the recursive doubling technique. The efficiency of three implementations of this algorithm is described in detail. It is shown that this algorithm is easy to program and very flexible, and that machine-dependent optimization is readily achievable. It can be modified slightly to solve boundary value problems.
Linear ordinary differential equations and systems, recursive doubling technique, linear systems, box scheme, multiple instruction-multiple data machine, Parallel numerical computation, parallel processing hypercube, Numerical methods for initial value problems involving ordinary differential equations, fundamental solutions
Linear ordinary differential equations and systems, recursive doubling technique, linear systems, box scheme, multiple instruction-multiple data machine, Parallel numerical computation, parallel processing hypercube, Numerical methods for initial value problems involving ordinary differential equations, fundamental solutions
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
