Design and performance evaluation of a distributed eigenvalue solver on a workstation cluster

Trefftz, Christian; Huang, Chengchang; McKinley, Philip K.; Li, T.Y.; Zeng, Zhonggang

doi:10.1109/icdcs.1994.302477

Cited by 4 publications

(1 citation statement)

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“…Thirdly, workstation networks are more¯exible than a parallel computer; additional computing and communication capacity, in the form of new workstation models and faster networks, can be easily con®gured into the system. However, one of the disadvantages of workstation networks is that communication speed is often much slower than that in a parallel computer (Trefftz et al 1994). As to the memory, workstation networks have local memory.…”

Section: Introductionmentioning

confidence: 99%

A parallel triangular decomposition algorithm on a workstation network with application to structural vibration analysis

Aoyama

Hirama

Yagawa

1997

Computational Mechanics

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This paper presents a parallel triangular decomposition algorithm for banded symmetric matrices and its application to structural vibration analysis, which gives high rates of parallel ef®ciency on a workstation network. In case of decomposition of a matrix with halfbandwidth 822, the working ef®ciency rate was 84% using a network of six workstations (SUN SparcStation 20s). The algorithm provides a high rate of working ef®ciency in parallel environment with local memory, even if the communication time is considerably longer than the operation time.As an application of the algorithm, a ®nite element (FE) system for structural vibration analysis with the parallel decomposition algorithm was developed on the above workstation network and a model with more than 100,000 degrees of freedom (DOFs) was successfully analyzed by the system. The computation time for the model with 10,752 DOFs and halfbandwidth 822 was 3,661 sec by the present parallel system, whereas the computation time by a single workstation was 14,335 sec.

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Section: Introductionmentioning

confidence: 99%