基于fpga的系统中面向数据流的C语言应用的自动加速

2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) Pub Date : 2019-04-01 DOI:10.1109/FCCM.2019.00054

Francesco Peverelli, Marco Rabozzi, Salvatore Cardamone, Emanuele Del Sozzo, A. Thom, M. Santambrogio, Lorenzo Di Tucci

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引用次数: 1

摘要

基于fpga的系统上的计算密集型应用程序的加速已经成为一种日益普遍的趋势，这要归功于它们作为云商品的可用性。这一趋势还伴随着高级综合工具的广泛支持。尽管这些解决方案减少了硬件开发的学习曲线，但程序员仍然需要特定的专业知识才能实现高效的实现。在本文中，我们提出了一种自动化的方法来加速C应用程序到fpga上的数据流内核。

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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Automated Acceleration of Dataflow-Oriented C Applications on FPGA-Based Systems

The acceleration of compute-intensive applications on FPGA-based systems has become an increasingly common trend thanks to their availability as cloud commodities. This trend has also been accompanied by wider support of High-Level Synthesis tools. Despite these solutions reduce the learning curve for hardware development, the programmer still requires specific expertise in order to achieve efficient implementations. In this paper, we propose an automated approach for the acceleration of C applications into dataflow kernels on FPGAs.

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来源期刊

2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)

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