Refined fixed granularity algorithm on Networks of Workstations


The KIPS Transactions:PartA, Vol. 8, No. 2, pp. 117-124, Jun. 2001
10.3745/KIPSTA.2001.8.2.117,   PDF Download:

Abstract

At NOW (Networks Of Workstations), the load sharing is very important role for improving the performance. The known load sharing strategy is fixed-granularity, variable-granularity and adaptive-granularity. The variable-granularity algorithm is sensitive to the various parameters. But Send algorithm, which implements the fixed-granularity strategy, is robust to task granularity. And the performance difference between Send and variable-granularity algorithm is not substantial. But, in Send algorithm, the computing time and the communication time are not overlapped. Therefore, long latency time at the network has influence on the execution time of the parallel program. In this paper, we propose the preSend algorithm. In the preSend algorithm, the master node can send the data to the slave nodes in advance without the waiting for partial results from the slaves. As the master node sent the next data to the slaves in advance, the slave nodes can process the data without the idle time. As stated above, the preSend algorithm can overlap the computing time and the communication time. Therefore we reduce the influence of the long latency time at the network and the execution time of the parallel program on the NOW. To compare the execution time of two algorithms, we use the 320x320 matrix multiplication. The comparison results of execution times show that the preSend algorithm has the shorter execution time than the Send algorithm.


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Cite this article
[IEEE Style]
B. G. Goo, "Refined fixed granularity algorithm on Networks of Workstations," The KIPS Transactions:PartA, vol. 8, no. 2, pp. 117-124, 2001. DOI: 10.3745/KIPSTA.2001.8.2.117.

[ACM Style]
Bon Geun Goo. 2001. Refined fixed granularity algorithm on Networks of Workstations. The KIPS Transactions:PartA, 8, 2, (2001), 117-124. DOI: 10.3745/KIPSTA.2001.8.2.117.