{"title":"共享内存并行计算机上的高性能半导体器件仿真","authors":"M. Hahad, P. Hopper","doi":"10.1109/SISPAD.1996.865312","DOIUrl":null,"url":null,"abstract":"The work described in this paper is the evidence that, thanks to parallelization, time can be less of a bottleneck to numerical device simulation. With viable execution times, there is less need for a trade-off between larger structures and finer details to achieve an acceptable accuracy in a reasonable amount. of time. The article shows that Parallel ATLAS runs approximately 3 times faster on a four-processor machine while simulating a wide variety of devices.","PeriodicalId":341161,"journal":{"name":"1996 International Conference on Simulation of Semiconductor Processes and Devices. SISPAD '96 (IEEE Cat. No.96TH8095)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High performance semiconductor device simulation on shared memory parallel computers\",\"authors\":\"M. Hahad, P. Hopper\",\"doi\":\"10.1109/SISPAD.1996.865312\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The work described in this paper is the evidence that, thanks to parallelization, time can be less of a bottleneck to numerical device simulation. With viable execution times, there is less need for a trade-off between larger structures and finer details to achieve an acceptable accuracy in a reasonable amount. of time. The article shows that Parallel ATLAS runs approximately 3 times faster on a four-processor machine while simulating a wide variety of devices.\",\"PeriodicalId\":341161,\"journal\":{\"name\":\"1996 International Conference on Simulation of Semiconductor Processes and Devices. SISPAD '96 (IEEE Cat. No.96TH8095)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 International Conference on Simulation of Semiconductor Processes and Devices. SISPAD '96 (IEEE Cat. No.96TH8095)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISPAD.1996.865312\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 International Conference on Simulation of Semiconductor Processes and Devices. SISPAD '96 (IEEE Cat. No.96TH8095)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISPAD.1996.865312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High performance semiconductor device simulation on shared memory parallel computers
The work described in this paper is the evidence that, thanks to parallelization, time can be less of a bottleneck to numerical device simulation. With viable execution times, there is less need for a trade-off between larger structures and finer details to achieve an acceptable accuracy in a reasonable amount. of time. The article shows that Parallel ATLAS runs approximately 3 times faster on a four-processor machine while simulating a wide variety of devices.