CRII: CSR: Enabling Efficient Real-Time Systems upon Multiple Parallel Resources

目前的技术趋势是将多个应用整合到一个共享硬件平台上，以减少实时系统的尺寸、重量、功耗和成本，例如自动驾驶车辆和自动机器人。此外，现代平台由中央处理单元（CPU）和图形处理单元（GPU）组成，具有越来越多的共享资源的处理核心。 此外，许多当前的应用程序，如人工智能应用程序，具有高计算需求，必须并行执行，以满足其实时约束。这些技术趋势要求实时系统能够在共享的多个并行资源上高效地调度实时应用程序，本研究将研究新的适用于现代多资源平台的并行实时调度框架。调度问题被分为两类：用于交替使用不同类型的资源（例如，或者在CPU和GPU上执行），以及用于同时使用多种类型的资源的向量化资源调度（例如，在共享最后一级高速缓存的处理单元上运行）。该项目将为这两类资源使用建立新的并行实时任务模型。在此基础上，将开发新的实时调度器及其相应的分析，以达到有效利用多种资源的目标。该项目将推进对实时系统中并行调度的理解，并作为在强大而复杂的现代平台上挑战高效并行实时系统的初始步骤。该项目可以对当今各种基于人工智能的实时系统产生工业影响，以提高其响应能力，效率和可扩展性。该项目包括丰富的外联活动和多样性计划，以促进科学，技术，工程和数学（STEM）教育活动，并扩大对计算和工程的参与。 作为该项目的一部分，研究产品将被保留，管理，并通过在技术的新泽西研究所可用的资源传播。产品将被保存，目标是在项目完成或相应文章出版后至少保存三年，以较晚者为准。项目存储库的URL是https://git.njit.edu/njit-prt.This奖项反映了NSF的法定使命，并且通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

There is a technology trend to consolidate multiple applications onto a shared hardware platform to reduce the size, weight, power, and cost of real-time systems, such as self-driving vehicles and autonomous robots. Furthermore, modern platforms consist of Central Processing Units (CPUs) and Graphics Processing Units (GPUs) with an increasing number of processing cores that share resources. Moreover, many current applications, such as artificial intelligence applications, have high computation needs and must execute in parallel to satisfy their real-time constraints. These technology trends demand that real-time systems be able to schedule real-time applications upon the shared multiple parallel resources efficiently.This research will investigate new parallel real-time scheduling frameworks for modern platforms with multiple resources. The scheduling problem is classified into two categories: staged-resources scheduling for alternating usage of different types of resources (e.g., alternatively executing on CPUs and GPUs), and vectorized-resources scheduling for simultaneously using multiple types of resources (e.g., running on processing units that share the last-level cache). The project will establish new parallel real-time task models for the two categories of resource usages. Based on the models, novel real-time schedulers and their corresponding analyses will be developed to achieve the goal of efficient utilization of multiple resources. The project will advance the understanding of parallel scheduling in real-time systems and serves as the initial steps of the challenge of efficient parallel real-time systems upon powerful and complex modern platforms. This project can have industrial impact on a wide range of today's artificial intelligence-based real-time systems to improve their responsiveness, efficiency, and scalability. The project includes enriching outreach activities and diversity programs to promote Science, Technology, Engineering and Mathematics (STEM) educational activity and broaden participation in computing and engineering. Research products generated as part of this project will be retained, managed, and disseminated through resources available at the New Jersey Institute of Technology. The products will be preserved with the goal of storing them for at least three years after the completion of the project or the publication of the corresponding articles, whichever is later. The URL to the project repository is https://git.njit.edu/njit-prt.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.