{"title":"维格纳-蒙特卡罗模拟的高效记忆粒子湮灭算法","authors":"P. Ellinghaus, M. Nedjalkov, S. Selberherr","doi":"10.1109/IWCE.2015.7301955","DOIUrl":null,"url":null,"abstract":"The Wigner Monte Carlo solver, using the signed-particle method, is based on the generation and annihilation of numerical particles. The memory demands of the annihilation algorithm can become exorbitant, if a high spatial resolution is used, because the entire discretized phase space is represented in memory. Two alternative algorithms, which greatly reduce the memory requirements, are presented here.","PeriodicalId":165023,"journal":{"name":"2015 International Workshop on Computational Electronics (IWCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Memory-efficient particle annihilation algorithm for Wigner Monte Carlo simulations\",\"authors\":\"P. Ellinghaus, M. Nedjalkov, S. Selberherr\",\"doi\":\"10.1109/IWCE.2015.7301955\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Wigner Monte Carlo solver, using the signed-particle method, is based on the generation and annihilation of numerical particles. The memory demands of the annihilation algorithm can become exorbitant, if a high spatial resolution is used, because the entire discretized phase space is represented in memory. Two alternative algorithms, which greatly reduce the memory requirements, are presented here.\",\"PeriodicalId\":165023,\"journal\":{\"name\":\"2015 International Workshop on Computational Electronics (IWCE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Workshop on Computational Electronics (IWCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWCE.2015.7301955\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Workshop on Computational Electronics (IWCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWCE.2015.7301955","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Memory-efficient particle annihilation algorithm for Wigner Monte Carlo simulations
The Wigner Monte Carlo solver, using the signed-particle method, is based on the generation and annihilation of numerical particles. The memory demands of the annihilation algorithm can become exorbitant, if a high spatial resolution is used, because the entire discretized phase space is represented in memory. Two alternative algorithms, which greatly reduce the memory requirements, are presented here.
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