比较TILT叠加处理器与OpenCL HLS的性能、生产率和可扩展性

Rafat Rashid, J. Steffan, Vaughn Betz
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引用次数: 42

摘要

高级综合(HLS)工具将应用程序的软件描述转换为定制的FPGA逻辑,与硬件描述语言(HDL)设计流程相比,提高了设计人员的工作效率。通过减少应用程序编译时间和提高抽象性,使设计人员能够针对软件可编程基板而不是底层FPGA, Overlays寻求进一步提高生产力。我们比较了两种C-to-FPGA方法的性能、开发工作量和可扩展性:我们的TILT覆盖处理器和Altera的OpenCL HLS。我们的应用程序定制的5个数据并行基准的TILT实现,每单位布局面积的吞吐量是我们最好的OpenCL HLS设计的41%到80%。这些TILT设计的初始硬件编译和目标应用程序在覆盖上的配置所需的时间与OpenCL HLS设计的编译时间大致相当:平均分别为28分钟和103分钟。然而,由于应用程序的变化而导致的后续重新配置(不需要重新合成覆盖层)速度很快,平均需要38秒。相比之下,OpenCL HLS应用程序在每次代码更改后都需要完全重新编译。当低到中等吞吐量就足够时,TILT还可以实现比OpenCL HLS更小、更高效的设计。对于高吞吐量,更大的空间流水线设计的OpenCL HLS是可取的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing performance, productivity and scalability of the TILT overlay processor to OpenCL HLS
High-Level-Synthesis (HLS) tools translate a software description of an application into custom FPGA logic, increasing designer productivity vs. Hardware Description Language (HDL) design flows. Overlays seek to further improve productivity by reducing application compile times and raising abstraction by enabling the designer to target a software-programmable substrate instead of the underlying FPGA. We compare the performance, development effort and scalability of two C-to-FPGA approaches: our TILT overlay processor and Altera's OpenCL HLS. Our application-customized TILT implementations of five data-parallel benchmarks have from 41 % to 80% of the throughput per unit of layout area achieved by our best OpenCL HLS designs. The time required for initial hardware compilation of these TILT designs and configuration of the target application onto the overlay is roughly comparable to the compile times of the OpenCL HLS designs: 28 and 103 minutes on average respectively. However subsequent reconfigurations due to changes in the application that do not require re-synthesis of the overlay are fast, taking 38 seconds on average. In contrast, OpenCL HLS applications require full recompilation after every code change. TILT also enables smaller, more area-efficient designs than OpenCL HLS when low to moderate throughput is sufficient. For high throughput, the larger spatially pipelined designs of OpenCL HLS are preferable.
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