通过分区最大化平铺FPGA覆盖的速度和密度

Charles Eric LaForest, J. Gregory Steffan
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引用次数: 7

摘要

大型FPGA设计项目的常见做法是将子项目划分为单独的综合分区,以便随着每个子项目的发展进行增量重新编译。相比之下,较小的设计项目避免分区,以便让CAD工具能够自由地执行尽可能多的全局优化,因为它们知道这些优化通常会提高性能和可能的面积。在本文中,我们展示了由重复组件组成的高速平铺设计,因此具有多位置(等效逻辑的多个实例),设计人员可以使用分区来保持多位置并提高性能。我们特别关注SIMD软处理器的通道和由它们组成的多核网格,由Quartus 12.1针对Stratix IV EP4SE230F29C2设备编译。我们证明,对编译时间的影响可以忽略不计(小于±10%):(i)我们可以使用分区向CAD工具提供有关在设计中保留多位置的高级信息,而无需对设计描述或CAD工具设置进行低级微管理;(ii)通过在SIMD软处理器中保留多位置,我们可以增加频率(最多31%)和计算密度(最多15%);(iii)分区提高了软处理器网格的密度和速度(高达51%和54%),跨越许多构建块配置和网格几何形状;(iv)分区的改进随着平铺计算元素(SIMD通道或网格节点)数量的增加而增加。作为分区好处的一个例子,102个标量软处理器的网格将其工作频率从284提高到437 MHz,其峰值性能从28,968提高到44,574 MIPS,而其逻辑面积仅增加了0.85%。
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Maximizing speed and density of tiled FPGA overlays via partitioning
Common practice for large FPGA design projects is to divide sub-projects into separate synthesis partitions to allow incremental recompilation as each sub-project evolves. In contrast, smaller design projects avoid partitioning to give the CAD tool the freedom to perform as many global optimizations as possible, knowing that the optimizations normally improve performance and possibly area. In this paper, we show that for high-speed tiled designs composed of duplicated components and hence having multi-localities (multiple instances of equivalent logic), a designer can use partitioning to preserve multi-locality and improve performance. In particular, we focus on the lanes of SIMD soft processors and multicore meshes composed of them, as compiled by Quartus 12.1 targeting a Stratix IV EP4SE230F29C2 device. We demonstrate that, with negligible impact on compile time (less than ±10%): (i) we can use partitioning to provide high-level information to the CAD tool about preserving multi-localities in a design, without low-level micro-managing of the design description or CAD tool settings; (ii) by preserving multi-localities within SIMD soft processors, we can increase both frequency (by up to 31%) and compute density (by up to 15%); (iii) partitioning improves the density and speed (by up to 51 and 54%) of a mesh of soft processors, across many building block configurations and mesh geometries; (iv) the improvements from partitioning increase as the number of tiled computing elements (SIMD lanes or mesh nodes) increases. As an example of the benefits of partitioning, a mesh of 102 scalar soft processors improves its operating frequency from 284 up to 437 MHz, its peak performance from 28,968 up to 44,574 MIPS, while increasing its logic area by only 0.85%.
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