Low-latency double-precision floating-point division for FPGAs

B. Liebig, A. Koch
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引用次数: 5

Abstract

With growing FPGA capacities, applications requiring more intensive use of floating-point arithmetic become feasible candidates for acceleration using reconfigurable logic. Still among the more uncommon operations, however, are fast double-precision divider units. Since our application domain (acceleration of custom-compiled convex solvers) heavily relies on these blocks, we have implemented low-latency dividers based on the Goldschmidt algorithm that are accurate up to 1 bit of least precision (1-ULP). On Virtex-6 devices, our units operate at 200 MHz and significantly outperform other state-of-the-art 1-ULP dividers. We evaluate our blocks both stand-alone, as well as on the application-level when used for the high-level synthesis of the convex solver cores.
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fpga的低延迟双精度浮点除法
随着FPGA容量的增长,需要更多使用浮点运算的应用成为使用可重构逻辑加速的可行候选。然而,在比较不常见的操作中,还有快速双精度除法单元。由于我们的应用领域(自定义编译凸求解器的加速)严重依赖于这些块,因此我们基于Goldschmidt算法实现了低延迟分频器,其精度可达最低精度的1位(1- ulp)。在Virtex-6设备上,我们的单元工作频率为200 MHz,明显优于其他最先进的1-ULP分压器。我们既独立地评估我们的块,也在应用程序级别评估用于凸求解器核心的高级合成时的块。
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Message from the General Chair and Program Co-Chairs Accelerator-in-Switch: A Novel Cooperation Framework for FPGAs and GPUs FPGA Accelerated HPC and Data Analytics Novel Neural Network Applications on New Python Enabled Platforms High-level synthesis - the right side of history
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