1996
DOI: 10.1137/s1064827593253872
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Alternating-Direction Line-Relaxation Methods on Multicomputers

Abstract: Abstract. We study the multicomputer performance of a three-dimensional Navier-Stokes solver based on alternating-direction line-relaxation methods. We compare several multicomputer implementations, each of which combines a particular line-relaxation method and a particular distributed block-tridiagonal solver. In our experiments, the problem size was determined by resolution requirements of the application. As a result, the granularity of the computations of our study is finer than is customary in the perform… Show more

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Cited by 37 publications
(13 citation statements)
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“…1 is solved explicitly using an Euler time stepping scheme; Eqs. 2 is solved implicitly using and alternatingdirection-line-relaxation (ADLR) 23,31,32 method. The solution for Eq.…”
Section: Modelmentioning
confidence: 99%
“…1 is solved explicitly using an Euler time stepping scheme; Eqs. 2 is solved implicitly using and alternatingdirection-line-relaxation (ADLR) 23,31,32 method. The solution for Eq.…”
Section: Modelmentioning
confidence: 99%
“…The first group focuses on the method of solving a linear system in parallel, using either pipeline methods, 19,20 alternating direction methods, 21 parallel diagonal dominant algorithms, 22,23 or line-relaxation methods. 24 The second group essentially decouples compact schemes to enable them to be solved independently on each processor. Consequently, the computational field can be partitioned with classic domain decomposition methods 25 and each subdomain is solved independently on a processor, in common with most CFD solvers using explicit schemes.…”
Section: Introductionmentioning
confidence: 99%
“…In [7] pipelined implementation of the Thomas algorithm (PTA) is discussed where various latencies of processors are reduced by performing non-local data-independent computations, solving for other spatial derivatives during forward and backward operations in PTA. Alternative to PTA is discussed in [11,12], where newer algorithms are proposed that replaces the forward and backward recursions of PTA by matrix-vector multiplications. However, this leads to significant increase in floating-point operations, defeating the rationale of faster computing by parallelization.…”
Section: Introductionmentioning
confidence: 99%