ESL作为从OpenCL到fpga的门户:基本思想和方法评估

G. Economakos
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引用次数: 3

摘要

OpenCL被提出作为异构多核体系结构中应用程序开发的开放标准,利用不同的CPU、DSP和GPU类型和配置。最近,FPGA器件的技术进步,提供数百个具有最高功率效率的gflop,使并行处理社区转向它们。然而,FPGA编程需要不同领域的专业知识以及适当的工具和方法。最近获得广泛接受的一个有前途的解决方案是使用ESL和高级综合方法,支持基于C/ c++的硬件设计。本文从高层次的综合出发,提出了一种采用OpenCL作为FPGA编程环境的方法。具体来说,介绍了FPGA计算平台和使用C/ c++作为输入语言给应用开发者带来的机遇和障碍,并给出了一种系统的方法来探索数据级和线程级并行性。实验结果表明,与同等GPU实现相比,支持高效的设计空间探索,整体系统级性能提升高达9倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ESL as a Gateway from OpenCL to FPGAs: Basic Ideas and Methodology Evaluation
OpenCL has been proposed as an open standard for application development in heterogeneous multi-core architectures, utilizing different CPU, DSP and GPU types and configurations. Recently, the technological advances in FPGA devices, offering hundreds of GFLOPs with maximum power efficiency, has turned the parallel processing community towards them. However, FPGA programming requires expertise in a different field as well as the appropriate tools and methodologies. A promising solution, gaining wider acceptance lately, is the use of ESL and high-level synthesis methodologies, supporting C/C++ based hardware design. Starting from high-level synthesis, this paper presents a methodology for the adoption of OpenCL as an FPGA programming environment. Specifically, the opportunities as well as the obstacles imposed to the application developer by the FPGA computing platform and the use of C/C++ as input language are presented, and a systematic way to explore both data level and thread level parallelism is given. Experimental result show that efficient design space exploration is supported, with overall system level performance boost of up to 9x, compared to equivalent GPU implementations.
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