Dynamic Shared SPM Reuse for Real-Time Multicore Embedded Systems

Author:

Kafshdooz Morteza Mohajjel1,Ejlali Alireza1

Affiliation:

1. Sharif University of Technology, Tehran, Iran

Abstract

Allocating the scratchpad memory (SPM) space to tasks is a challenging problem in real-time multicore embedded systems that use shared SPM. Proper SPM space allocation is important, as it considerably influences the application worst-case execution time (WCET), which is of great importance in real-time applications. To address this problem, in this article we present a dynamic SPM reuse scheme, where SPM space can be reused by other tasks during runtime without requiring any static SPM partitioning. Although the proposed scheme is applied dynamically at runtime, the required decision making is fairly complex and hence cannot be performed at runtime. We have developed techniques to perform the decision making offline at design time in the form of optimization problems combined with task scheduling/mapping. The proposed work is unlike previous works that either exploit static schemes for SPM space allocation or perform task scheduling/mapping and SPM space allocation incoherently. The experimental results show that our dynamic SPM reuse scheme can reduce WCET by up to 55% as compared to recent previous works on SPM allocation in real-time multicore embedded systems.

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Information Systems,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mapi-Pro: An Energy Efficient Memory Mapping Technique for Intermittent Computing;ACM Transactions on Architecture and Code Optimization;2023-12-14

2. MASTER: Reclamation of Hybrid Scratchpad Memory to Maximize Energy Saving in Multi-core Edge Systems;IEEE Transactions on Sustainable Computing;2021

3. WCET Aware Cache Locking and Task Scheduling in Single Core Embedded Systems;Journal of Physics: Conference Series;2020-11-01

4. A Survey of Timing Verification Techniques for Multi-Core Real-Time Systems;ACM Computing Surveys;2020-05-31

5. Interference-Aware Memory Allocation for Real-Time Multi-Core Systems;2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS);2020-04

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