{"title":"基于64位处理和集群系统的个人高性能计算(PHPC)实验与研究","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":"{\"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}","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}
Experiments and investigations for the personal high performance computing (PHPC) built on top of the 64-bit processing and clustering systems
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