提出了一种可以进行列主元选取的细粒度lu分解流水线算法并在现场编程门阵列(FPGA)上得到了实现。

This paper presents a fine-grained pipeline algorithm for lu decomposition with column partial pivoting and gives the description of its implementation on field-programmable gate arrays (FPGA).

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参与“蓝脑计划”的科学家用一台能同时处理数百万个算法和数据串的“超级计算机”，来实现该过程的流水线工作。

The scientists working on the Blue Brain Project use a “super computer”, a machine capable of handling millions of algorithms and data strings at once, to streamline this process.

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实验结果表明，该算法有效地减少了送入图形流水线的几何数据，并在贴地漫游的情况下，显著提高了场景绘制速度。

The experimental results demonstrate that the method reduces the geometry sent to the graphics pipeline and improves the rendering frame rate significantly when navigating at ground level.

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