{"title":"一个用于图形交互分子动力学模拟的并行引擎","authors":"E. Rodrigues, A. J. Preto, S. Stephany","doi":"10.1109/CAHPC.2004.3","DOIUrl":null,"url":null,"abstract":"The current work proposes a parallel implementation for interactive molecular dynamics simulations (MD). The interactive capability is modeled by finite automata that are executed in the processing nodes. Any interaction implies in a communication between the user interface and the finite automata. The ADKS, an interactive sequential MD code that provides graphical output was chosen as a case study. A parallel version of this code was developed using the MPI communication library to check its parallel performance without/with visualization. Performance results are discussed for both cases and the influence of visualization in the performance is also treated, including image update rate. In order to allow a modular approach, a new parallel version of the ADKS is being implemented employing the PyMPI Python extension.","PeriodicalId":375288,"journal":{"name":"16th Symposium on Computer Architecture and High Performance Computing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A parallel engine for graphical interactive molecular dynamics simulations\",\"authors\":\"E. Rodrigues, A. J. Preto, S. Stephany\",\"doi\":\"10.1109/CAHPC.2004.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current work proposes a parallel implementation for interactive molecular dynamics simulations (MD). The interactive capability is modeled by finite automata that are executed in the processing nodes. Any interaction implies in a communication between the user interface and the finite automata. The ADKS, an interactive sequential MD code that provides graphical output was chosen as a case study. A parallel version of this code was developed using the MPI communication library to check its parallel performance without/with visualization. Performance results are discussed for both cases and the influence of visualization in the performance is also treated, including image update rate. In order to allow a modular approach, a new parallel version of the ADKS is being implemented employing the PyMPI Python extension.\",\"PeriodicalId\":375288,\"journal\":{\"name\":\"16th Symposium on Computer Architecture and High Performance Computing\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"16th Symposium on Computer Architecture and High Performance Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAHPC.2004.3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th Symposium on Computer Architecture and High Performance Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAHPC.2004.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A parallel engine for graphical interactive molecular dynamics simulations
The current work proposes a parallel implementation for interactive molecular dynamics simulations (MD). The interactive capability is modeled by finite automata that are executed in the processing nodes. Any interaction implies in a communication between the user interface and the finite automata. The ADKS, an interactive sequential MD code that provides graphical output was chosen as a case study. A parallel version of this code was developed using the MPI communication library to check its parallel performance without/with visualization. Performance results are discussed for both cases and the influence of visualization in the performance is also treated, including image update rate. In order to allow a modular approach, a new parallel version of the ADKS is being implemented employing the PyMPI Python extension.