Quality-Time Tradeoffs in Component-Specific Mapping: How to Train Your Dynamically Reconfigurable Array of Gates with Outrageous Network-delays

Hans Giesen, Raphael Rubin, Benjamin Gojman, A. DeHon
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引用次数: 4

Abstract

How should we perform component-specific adaptation for FPGAs? Prior work has demonstrated that the negative effects of variation can be largely mitigated using complete knowledge of device characteristics and full per-FPGA CAD flow. However, the cost of per-FPGA characterization and mapping could be prohibitively expensive. We explore light-weight options for per-FPGA mapping that avoid the need for a priori device characterization and perform less expensive per FPGA customization work. We characterize the tradeoff between Quality-of-Results (energy, delay) and per-device mapping costs for 7 design points ranging from complete mapping based on knowledge to no per-device mapping. We show that it is possible to get 48-77% of the component-specific mapping delay benefit or 57% of the energy benefit with a mapping that takes less than 20 seconds per FPGA. An incremental solution can start execution after a 21 ms bitstream load and converge to 77% delay benefit after 18 seconds of runtime.
特定组件映射中的质量时间权衡:如何训练具有惊人网络延迟的动态可重构门阵列
我们应该如何为fpga执行特定组件的适配?先前的工作已经证明,使用完整的器件特性知识和完整的fpga CAD流程,可以在很大程度上减轻变化的负面影响。然而,每个fpga表征和映射的成本可能非常昂贵。我们探索了每个FPGA映射的轻量级选项,避免了对先验器件特性的需要,并且执行每个FPGA定制工作的成本更低。我们描述了7个设计点的结果质量(能量,延迟)和每个设备映射成本之间的权衡,从基于知识的完整映射到没有每个设备映射。我们表明,通过每个FPGA不到20秒的映射,可以获得48-77%的特定组件映射延迟优势或57%的能量优势。增量解决方案可以在21毫秒的比特流加载后开始执行,并在18秒运行后收敛到77%的延迟优势。
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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