{"title":"可重构计算中离散元方法的高度并行分析与实现","authors":"Benjamin Carrión Schäfer, S. Quigley, A. Chan","doi":"10.1109/FPGA.2002.1106672","DOIUrl":null,"url":null,"abstract":"The Discrete Element Method (DEM) is a numerical model to describe the mechanical behaviour of discontinuous bodies. It has been traditionally used to simulate particle flows (e.g. sand, sugar), but is becoming more popular as a method to represent solid materials. The DEM is very computationally expensive, but has properties that make it amenable to acceleration by reconfigurable computing. This paper describes the implementation of a dedicated hardware architecture for the DEM implemented on an FPGA, which is capable of giving a speed-zip of about 30 times compared to an optimised software version running on a fast microprocessor.","PeriodicalId":272235,"journal":{"name":"Proceedings. 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Analysis and implementation of the discrete element method using a dedicated highly parallel architecture in reconfigurable computing\",\"authors\":\"Benjamin Carrión Schäfer, S. Quigley, A. Chan\",\"doi\":\"10.1109/FPGA.2002.1106672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Discrete Element Method (DEM) is a numerical model to describe the mechanical behaviour of discontinuous bodies. It has been traditionally used to simulate particle flows (e.g. sand, sugar), but is becoming more popular as a method to represent solid materials. The DEM is very computationally expensive, but has properties that make it amenable to acceleration by reconfigurable computing. This paper describes the implementation of a dedicated hardware architecture for the DEM implemented on an FPGA, which is capable of giving a speed-zip of about 30 times compared to an optimised software version running on a fast microprocessor.\",\"PeriodicalId\":272235,\"journal\":{\"name\":\"Proceedings. 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPGA.2002.1106672\",\"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. 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPGA.2002.1106672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis and implementation of the discrete element method using a dedicated highly parallel architecture in reconfigurable computing
The Discrete Element Method (DEM) is a numerical model to describe the mechanical behaviour of discontinuous bodies. It has been traditionally used to simulate particle flows (e.g. sand, sugar), but is becoming more popular as a method to represent solid materials. The DEM is very computationally expensive, but has properties that make it amenable to acceleration by reconfigurable computing. This paper describes the implementation of a dedicated hardware architecture for the DEM implemented on an FPGA, which is capable of giving a speed-zip of about 30 times compared to an optimised software version running on a fast microprocessor.