{"title":"Experiments and investigations for the personal high performance computing (PHPC) built on top of the 64-bit processing and clustering systems","authors":"V. Chang","doi":"10.1109/ECBS.2006.42","DOIUrl":null,"url":null,"abstract":"The motivation and objective for this paper is to demonstrate \"personal high performance computing (PHPC)\", which requires only a smaller number of computers, resources and space in the secure wireless home networking (WHN) environment. The PHPC is based on a cluster of the 64-bit AMD machines, which can achieve the following: (a) reducing CPU time by 10%-50% for a single task; (b) minimizing the memory and hard-disk workload by 50%; (c) running 64-bit software applications successfully; (d) receiving up to 60% better performance in multi-tasking performance; (e) executing fast, robust and accurate calculations, visualization and server-side applications on 32-bit and 64-bit Windows and Linux; (f) ensuring a secure working environment (g) storing a massive amount of data (12 TB, or 12,000 GB) for database and server applications; and (h) successfully integrating with other emerging technologies such as LAN/wireless networks and entertainment systems","PeriodicalId":430872,"journal":{"name":"13th Annual IEEE International Symposium and Workshop on Engineering of Computer-Based Systems (ECBS'06)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"13th Annual IEEE International Symposium and Workshop on Engineering of Computer-Based Systems (ECBS'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECBS.2006.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The motivation and objective for this paper is to demonstrate "personal high performance computing (PHPC)", which requires only a smaller number of computers, resources and space in the secure wireless home networking (WHN) environment. The PHPC is based on a cluster of the 64-bit AMD machines, which can achieve the following: (a) reducing CPU time by 10%-50% for a single task; (b) minimizing the memory and hard-disk workload by 50%; (c) running 64-bit software applications successfully; (d) receiving up to 60% better performance in multi-tasking performance; (e) executing fast, robust and accurate calculations, visualization and server-side applications on 32-bit and 64-bit Windows and Linux; (f) ensuring a secure working environment (g) storing a massive amount of data (12 TB, or 12,000 GB) for database and server applications; and (h) successfully integrating with other emerging technologies such as LAN/wireless networks and entertainment systems