{"title":"并行计算Smarandache函数","authors":"S. Tabirca, T. Tabirca, Kieran Reynolds, L. Yang","doi":"10.1109/ISPDC.2004.15","DOIUrl":null,"url":null,"abstract":"This article presents an efficient method to calculate in parallel the values of the Smarandache function S(i), i = 1, 2, ..., n. The value S(i) can be sequentially found with a complexity of i/(log i). The computation has an important constraint, which is to have consecutive values computed by the same processor. This makes the dynamic scheduling methods inapplicable. The proposed solution is based on a balanced workload block scheduling method. Experiments show that the method is efficient and generates a good load balance.","PeriodicalId":62714,"journal":{"name":"骈文研究","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Calculating Smarandache function in parallel\",\"authors\":\"S. Tabirca, T. Tabirca, Kieran Reynolds, L. Yang\",\"doi\":\"10.1109/ISPDC.2004.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents an efficient method to calculate in parallel the values of the Smarandache function S(i), i = 1, 2, ..., n. The value S(i) can be sequentially found with a complexity of i/(log i). The computation has an important constraint, which is to have consecutive values computed by the same processor. This makes the dynamic scheduling methods inapplicable. The proposed solution is based on a balanced workload block scheduling method. Experiments show that the method is efficient and generates a good load balance.\",\"PeriodicalId\":62714,\"journal\":{\"name\":\"骈文研究\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"骈文研究\",\"FirstCategoryId\":\"1092\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPDC.2004.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"骈文研究","FirstCategoryId":"1092","ListUrlMain":"https://doi.org/10.1109/ISPDC.2004.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文提出了一种并行计算Smarandache函数S(i), i = 1,2,…值的有效方法。值S(i)可以以i/(log i)的复杂度顺序找到。计算有一个重要的约束,即由同一个处理器计算连续的值。这使得动态调度方法不适用。该方案基于负载均衡块调度方法。实验结果表明,该方法是有效的,并产生了良好的负载平衡。
This article presents an efficient method to calculate in parallel the values of the Smarandache function S(i), i = 1, 2, ..., n. The value S(i) can be sequentially found with a complexity of i/(log i). The computation has an important constraint, which is to have consecutive values computed by the same processor. This makes the dynamic scheduling methods inapplicable. The proposed solution is based on a balanced workload block scheduling method. Experiments show that the method is efficient and generates a good load balance.