Temperature-driven Thread mapping and Shadowing in Hybrid Multi-cores (SMASH)

混合多核 (SMASH) 中温度驱动的线程映射和阴影

• 批准号: 182482535
• 负责人: Professor Dr. Marco Platzner
• 金额: --
• 依托单位: Fachgebiet Technische Informatik
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2010
• 资助国家: 德国
• 起止时间: 2009-12-31 至 2012-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/182482535?language=en
• 关键词: Temperature; driven; Thread; mapping; Shadowing

This project aims at the investigation of novel temperature-driven runtime techniques to facilitate dependable operation of future hybrid multi-cores comprising programmable and reconfigurable cores. Previously, we mapped threads dynamically to software and hardware cores to optimize for thermal balance and gradients based on sensors sampling core temperatures. We allowed for intra-modal thread migration where we migrate threads between software cores or hardware cores, respectively. We now propose to migrate threads even across the software/hardware boundary which is denoted as trans-modal migration. Furthermore, we previously introduced thread shadowing to detect core failures. The operating system autonomously attaches shadow threads to application threads and compares their signatures of operating system calls. We now propose to also shadow memory accesses to be able to detect more types of failures. Furthermore, we will develop error injection methods which will form a basis for studying error models and to evaluate the effectiveness of our shadowing techniques. We proposed a thermal sensitivity map that captures information about the thermal stress threads pose on cores as well as the cores’ susceptibility for thermal stress in the last project phase. Beyond that, we will now apply on-line learning techniques to determine static and dynamic parameters of the thermal sensitivity map which enables us to develop prediction-based thermally-driven mapping strategies.

该项目旨在研究新型温度驱动的运行时技术，以促进未来混合多核（包括可编程和可重构内核）的可靠运行。在此之前，我们将线程动态映射到软件和硬件内核，以根据传感器采样核心温度来优化热平衡和梯度。我们允许模式内线程迁移，其中我们分别在软件核心或硬件核心之间迁移线程。我们现在建议甚至跨越软件/硬件边界迁移线程，这被表示为跨模式迁移。此外，我们之前引入了线程阴影来检测核心故障。操作系统自主地将影子线程附加到应用程序线程，并比较它们的操作系统调用签名。我们现在还建议影子内存访问，以便能够检测更多类型的故障。此外，我们将开发误差注入方法，这将形成一个基础，研究误差模型，并评估我们的阴影技术的有效性。我们提出了一个热敏感性地图，捕捉有关的热应力线程对核心以及核心的敏感性，在最后的项目阶段的热应力的信息。除此之外，我们现在将应用在线学习技术来确定热敏性图的静态和动态参数，这使我们能够开发基于预测的热驱动映射策略。