FPL Demo: Runtime Stream Processing with Resource-Elastic Pipelines on FPGAs

Kaspar Mätas, Kristiyan Manev, Joseph Powell, Dirk Koch
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引用次数: 1

Abstract

FPGAs are efficient at dataflow applications, as demonstrated in various application domains, including machine learning, communication, and image processing. In this demo, we accelerate database management operations transparently to the user by stitching together partially reconfigurable stream processing modules that implement database operators. Our runtime system orchestrates this, which builds custom pipelines according to runtime conditions. This demo will showcase an acceleration of SQL queries using our dynamic stream processing system running on a ZCU102 FPGA board.
FPL演示:fpga上资源弹性管道的运行时流处理
fpga在数据流应用中是高效的,正如在各种应用领域所证明的那样,包括机器学习、通信和图像处理。在这个演示中,我们通过将实现数据库操作符的部分可重构流处理模块拼接在一起,从而对用户透明地加速数据库管理操作。我们的运行时系统对其进行编排,它根据运行时条件构建自定义管道。这个演示将展示使用我们的动态流处理系统在ZCU102 FPGA板上运行的SQL查询的加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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