Automated Design Space Exploration and Roofline Analysis for FPGA-Based HLS Applications

Marco Siracusa, Marco Rabozzi, Emanuele Del Sozzo, M. Santambrogio, Lorenzo Di Tucci
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引用次数: 5

Abstract

The growing interest in FPGA-based solutions for accelerating compute demanding algorithms is pushing the need for new tools and methods to improve productivity. In this work, we propose a methodology to support designers in generating optimal FPGA hardware implementations using High-Level Synthesis (HLS). First, we propose an automated roofline model generation that operates directly on a C/C++ description of the algorithm. The approach enables fast evaluation of the operational intensity of the target function and visualizes the main bottlenecks of the current HLS implementation, providing guidance on how to improve it. Second, we integrate it with a Design Space Exploration (DSE) methodology for quickly evaluating different HLS directives to identify an optimal implementation.
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基于fpga的HLS应用的自动设计空间探索和车顶线分析
人们对基于fpga的加速计算算法解决方案的兴趣日益浓厚,这推动了对新工具和方法的需求,以提高生产率。在这项工作中,我们提出了一种方法来支持设计人员使用高级合成(HLS)生成最佳的FPGA硬件实现。首先,我们提出了一个自动的屋顶线模型生成,它直接对算法的C/ c++描述进行操作。该方法能够快速评估目标函数的操作强度,并可视化当前HLS实现的主要瓶颈,为如何改进它提供指导。其次,我们将其与设计空间探索(DSE)方法集成,用于快速评估不同的HLS指令以确定最佳实现。
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