P. Zuse, R. Hauser, R. Manner, M. Hausmann, C. Cremer
{"title":"利用nerva - MIMD超级计算机进行狭缝扫描流式细胞术中染色体的实时分类","authors":"P. Zuse, R. Hauser, R. Manner, M. Hausmann, C. Cremer","doi":"10.1109/PARBSE.1990.77229","DOIUrl":null,"url":null,"abstract":"Presently, profile evaluation can be done at a rate of 10 chromosomes/s using the reflection algorithm. To measure, for example, radiation-induced aberrations in the low dose range or to sort chromosomes according to their slit scan data, it is desired that the analysis speed increase by a factor of 100. It is shown that the data analysis rate allowed by the on-line computer may be increased by implementing the analysis algorithm on a multiprocessor system consisting of 60 microprocessors. The authors discuss an evaluation done on a parallel processing system that may consist of a high number (<or=320) of 32-b microprocessors (NERV). The NERV system was developed as a prototype with a small number of slave processors. Its hardware has been tested completely.<<ETX>>","PeriodicalId":389644,"journal":{"name":"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Real-time classification of chromosomes in slit scan flow cytometry using NERV-a MIMD supercomputer\",\"authors\":\"P. Zuse, R. Hauser, R. Manner, M. Hausmann, C. Cremer\",\"doi\":\"10.1109/PARBSE.1990.77229\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presently, profile evaluation can be done at a rate of 10 chromosomes/s using the reflection algorithm. To measure, for example, radiation-induced aberrations in the low dose range or to sort chromosomes according to their slit scan data, it is desired that the analysis speed increase by a factor of 100. It is shown that the data analysis rate allowed by the on-line computer may be increased by implementing the analysis algorithm on a multiprocessor system consisting of 60 microprocessors. The authors discuss an evaluation done on a parallel processing system that may consist of a high number (<or=320) of 32-b microprocessors (NERV). The NERV system was developed as a prototype with a small number of slave processors. Its hardware has been tested completely.<<ETX>>\",\"PeriodicalId\":389644,\"journal\":{\"name\":\"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PARBSE.1990.77229\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PARBSE.1990.77229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time classification of chromosomes in slit scan flow cytometry using NERV-a MIMD supercomputer
Presently, profile evaluation can be done at a rate of 10 chromosomes/s using the reflection algorithm. To measure, for example, radiation-induced aberrations in the low dose range or to sort chromosomes according to their slit scan data, it is desired that the analysis speed increase by a factor of 100. It is shown that the data analysis rate allowed by the on-line computer may be increased by implementing the analysis algorithm on a multiprocessor system consisting of 60 microprocessors. The authors discuss an evaluation done on a parallel processing system that may consist of a high number (>
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