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Acceleration of an Element-by-Element Preconditioned Conjugate Gradient Solver for Three-Dimensional Tetrahedral Finite Elements using Field Programmable Gate Arrays

机译:使用现场可编程栅极阵列加速三维四面体有限元的元素预先配置的缀合物梯度溶剂

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The complexity of Field Programmable Gate Arrays has continuously increased in the last few years, and, FPGAs are now capable of efficiently implementing large scale scientific applications involving floating point computations. In this paper, an element-by-element (EBE) preconditioned Conjugate Gradient (PCG) iterative solver has been implemented into an FPGA-based 32-bit floating-point reconfigurable computer. The performance of the resulting system is capable of giving a speed-up of about 40 times for a single FPGA board compared to an optimised 64-bit floating-point software version running on a fast microprocessor.
机译:领域可编程门阵列的复杂性在过去几年中持续增加,而且,FPGA现在能够有效地实现涉及浮点计算的大规模科学应用。在本文中,通过元素(EBE)预处理的共轭梯度(PCG)迭代解器已经实现为基于FPGA的32位浮点可重新配置计算机。与在快速微处理器上运行的优化的64位浮点软件版本相比,所得系统的性能能够为单个FPGA板提供约40次的加速。

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