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Acceleration of the Discrete Element Method (DEM) on a reconfigurable co-processor

机译:可重配置协处理器上离散元素方法(DEM)的加速

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The Discrete Element Method (DEM) is a numerical method devised to model the behaviour of particle assemblies. However in order to simulate entire engineering structures, which may involve millions of particles, the computing power has to increase as the DEM is computationally extremely expensive. A dedicated hardware architecture, implemented on a reconfigurable computing platform based on a Field Programmable Gate Array (FPGA) is presented in this paper. The main computational tasks are fully overlapped using domain decomposition techniques, and the lower level parallelism is also exploited by using concurrent arithmetic operations. A speedup of a factor of 30 could be observed compared to an optimised software simulator running on a 1 GHz Pentium III PC with. 1.3 Gbytes of RAM for 2-D particles assemblies ranging from 25,000 to 200,000 particles. The scalability of this design was tested on a multi-FPGA system, allowing the complete overlap of communication and computation for two FPGA boards working in parallel, achieving a speedup factor of almost 60.
机译:离散元素方法(DEM)是设计用于模拟粒子组件行为的数值方法。但是,为了模拟可能涉及数百万个粒子的整个工程结构,由于DEM在计算上非常昂贵,因此必须提高计算能力。本文提出了一种专用硬件架构,该架构在基于现场可编程门阵列(FPGA)的可重构计算平台上实现。使用域分解技术可以完全重叠主要的计算任务,并且可以通过使用并发算术运算来利用较低级别的并行性。与在1 GHz Pentium III PC上运行的优化软件模拟器相比,可以观察到30倍的加速。用于2D粒子组件的1.3 GB RAM,范围从25,000到200,000粒子。该设计的可扩展性已在多FPGA系统上进行了测试,从而使两个并行工作的FPGA板的通信和计算完全重叠,从而实现了近60的加速因子。

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