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Design and implementation of an FPGA-based high-performance improved vector-reduction method

机译:基于FPGA的高性能改进矢量约简方法的设计与实现

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Vector-reduction operation is the basis of many scientific computations. FPGA-based vector-reduction circuit must use deeply pipelined floating-point IP cores to gain a performance advantage over general-purpose processor (GPP). Improper design of reduction circuit will destroy the benefit from pipelining or impose unrealistic buffer requirements. In this paper, a high-performance improved reduction method is proposed and analyzed for FPGA platform. This design runs in optimal time while requires only four buffers of fixed size and a single pipelined floating-point unit. Using ALTERA Cyclone II EP2C70F896C6 as the target device, we implement vector summation which is most common example of vector-reduction using improved reduction method.
机译:向量归约运算是许多科学计算的基础。基于FPGA的矢量缩减电路必须使用深层流水线的浮点IP内核,以获得优于通用处理器(GPP)的性能优势。缩小电路的设计不当会破坏流水线的好处或施加不切实际的缓冲区要求。本文提出了一种高性能改进的归约方法,并针对FPGA平台进行了分析。该设计以最佳时间运行,而只需要四个固定大小的缓冲区和一个流水线浮点单元。使用ALTERA Cyclone II EP2C70F896C6作为目标器件,我们实现了矢量求和,这是使用改进的归约方法进行向量归约的最常见示例。

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