Many-core Platforms for Time-Critical Systems

适用于时间关键型系统的多核平台

• 批准号: RGPIN-2017-05029
• 负责人: Pellizzoni, Rodolfo
• 金额: $ 2.7万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637714
• 关键词: Many; core; Platforms; Time; Critical

Cyber-Physical Systems (CPS) are the next generation of smart, interconnected embedded systems. Advanced CPS, such as autonomous vehicles, rely on complex sensor processing and sensor fusion capabilities; hence, they require significant computational power. To address such needs, many-core architectures are increasingly considered attractive choices. Proposed platforms include both scaled-up versions of traditional multi-core architectures, as well as complex systems-on-chip comprising single-instruction-multiple-data accelerators such as GPU, which are especially suitable for video processing and similar highly parallel tasks. CPS are safety-critical systems exhibiting real-time requirements: a failure to compute required actuation commands within a precise time window (deadline) can lead to catastrophic results, including loss of human life. For this reason, computing platforms used in CPS must be timing predictable, i.e., able to provide strict timing guarantees and performance isolation between subsystems with different criticalities. Unfortunately, current Commercial-Off-The-Shelf (COTS) many-core architectures are mainly targeted at either the consumer or high-performance computing markets, and thus are not designed with such objectives in mind.

信息物理系统（CPS）是下一代智能互联嵌入式系统。先进的CPS，如自动驾驶汽车，依赖于复杂的传感器处理和传感器融合能力;因此，它们需要大量的计算能力。为了满足这些需求，众核架构越来越被认为是有吸引力的选择。拟议的平台包括传统多核架构的扩展版本，以及由单指令多数据加速器（例如GPU）组成的复杂片上系统，这些系统特别适合视频处理和类似的高度并行任务。CPS是具有实时要求的安全关键系统：未能在精确的时间窗口（截止日期）内计算所需的驱动命令可能导致灾难性的结果，包括人员生命损失。出于这个原因，CPS中使用的计算平台必须是定时可预测的，即，能够在具有不同关键性的子系统之间提供严格的时序保证和性能隔离。不幸的是，目前的商用现货（COTS）众核架构主要针对消费者或高性能计算市场，因此没有考虑到这些目标进行设计。