论文标题
通过利用意识分配在CGRA中积极衰老缓解
Proactive Aging Mitigation in CGRAs through Utilization-Aware Allocation
论文作者
论文摘要
资源平衡有效地用于减轻多核和图形处理单元（GPU）体系结构中负偏置温度不稳定性（NBTI）的长期老化影响。在这项工作中，我们通过新颖的应用程序对核对分配方法在粗粒的可重新配置阵列（CGRA）中研究了这种策略。通过将重要的扩展引入重新配置逻辑和DataPath，我们可以在整个结构中启用配置的动态运动，并允许过度利用的功能单元（FUS）从压力诱导的NBTI衰老中恢复。在资源受限的最新CGRA中实施该方法显示，$ 2.2 \ times $终身改善，效果忽略不计，面积不到$ 10 \％$ $。
Resource balancing has been effectively used to mitigate the long-term aging effects of Negative Bias Temperature Instability (NBTI) in multi-core and Graphics Processing Unit (GPU) architectures. In this work, we investigate this strategy in Coarse-Grained Reconfigurable Arrays (CGRAs) with a novel application-to-CGRA allocation approach. By introducing important extensions to the reconfiguration logic and the datapath, we enable the dynamic movement of configurations throughout the fabric and allow overutilized Functional Units (FUs) to recover from stress-induced NBTI aging. Implementing the approach in a resource-constrained state-of-the-art CGRA reveals $2.2\times$ lifetime improvement with negligible performance overheads and less than $10\%$ increase in area.
