L. M. Yusuf, Mohammed Shariff Bashir Ghouse, M. Othman, S. Shamsuddin, N. Alias
{"title":"Parallel numerical solution for temperature prediction on laser glass cutting using AGE variances method","authors":"L. M. Yusuf, Mohammed Shariff Bashir Ghouse, M. Othman, S. Shamsuddin, N. Alias","doi":"10.1109/STUDENT.2011.6089329","DOIUrl":null,"url":null,"abstract":"This paper discusses on the mathematical formulation in simulating the temperature behavior on a laser glass cutting. The mathematical simulation is solved by using three numerical methods, Alternating Group Explicit Method with Brian and Douglas variant, and Gauss Seidel Red Black method. This simulation is then being run on a parallel environment using the master and workers methodology where 20 units of processors work simultaneously in solving and visualizing the data. Lastly, the results obtained from the simulation is compared by using the parallel performance measurement and also on a large sparse matrix size.","PeriodicalId":247351,"journal":{"name":"2011 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STUDENT.2011.6089329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper discusses on the mathematical formulation in simulating the temperature behavior on a laser glass cutting. The mathematical simulation is solved by using three numerical methods, Alternating Group Explicit Method with Brian and Douglas variant, and Gauss Seidel Red Black method. This simulation is then being run on a parallel environment using the master and workers methodology where 20 units of processors work simultaneously in solving and visualizing the data. Lastly, the results obtained from the simulation is compared by using the parallel performance measurement and also on a large sparse matrix size.