{"title":"Integrating FPGA Acceleration into the Protomol Molecular Dynamics Code: Preliminary Report","authors":"Y. Gu, T. Court, M. Herbordt","doi":"10.1109/FCCM.2006.52","DOIUrl":null,"url":null,"abstract":"The authors describe a new pipeline for computing non-bonded forces and its integration into the ProtoMol molecular dynamics (MD) code. There are several innovations: a novel interpolation strategy, including use of higher order terms; coefficient generation with orthonormal functions; the introduction of \"semi-floating point\" numbering; and various issues related to system integration. As a result, we are able to model far more particle types, without relying on complex buffering, and obtain higher accuracy than previously. A two pipeline accelerator has been implemented on a 2004-era Xilinx VirtexII Pro VP70, integrated into ProtoMol, and tested with an enzyme inhibitor model having 8000 particles and 26 particle types. Despite performing all O(n) work on the host PC, as well as the data conversion and communication overhead, this implementation yields 5.5x to 15.7x speed-ups over a 2.8GHz PC (depending on whether cell lists are used), and with accuracy comparable to the serial code","PeriodicalId":123057,"journal":{"name":"2006 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines","volume":"401 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2006.52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The authors describe a new pipeline for computing non-bonded forces and its integration into the ProtoMol molecular dynamics (MD) code. There are several innovations: a novel interpolation strategy, including use of higher order terms; coefficient generation with orthonormal functions; the introduction of "semi-floating point" numbering; and various issues related to system integration. As a result, we are able to model far more particle types, without relying on complex buffering, and obtain higher accuracy than previously. A two pipeline accelerator has been implemented on a 2004-era Xilinx VirtexII Pro VP70, integrated into ProtoMol, and tested with an enzyme inhibitor model having 8000 particles and 26 particle types. Despite performing all O(n) work on the host PC, as well as the data conversion and communication overhead, this implementation yields 5.5x to 15.7x speed-ups over a 2.8GHz PC (depending on whether cell lists are used), and with accuracy comparable to the serial code
作者描述了一种计算非键力的新管道,并将其集成到ProtoMol分子动力学(MD)代码中。有几个创新:一种新的插值策略,包括使用高阶项;正交函数的系数生成;引入“半浮点”编号;以及与系统集成相关的各种问题。因此,我们能够模拟更多的粒子类型,而不依赖于复杂的缓冲,并获得比以前更高的精度。一个双管道加速器已经在2004年的Xilinx VirtexII Pro VP70上实施,集成到ProtoMol中,并在具有8000个颗粒和26个颗粒类型的酶抑制剂模型上进行了测试。尽管在主机PC上执行所有O(n)工作,以及数据转换和通信开销,这种实现在2.8GHz PC上(取决于是否使用小区列表)产生5.5到15.7倍的速度,并且精度与串行代码相当