Task-FIFO Co-Scheduling of Streaming Applications on MPSoCs with Predictable Memory Hierarchy

Author:

Tang Qi1,Basten Twan2,Geilen Marc3,Stuijk Sander3,Wei Ji-Bo1

Affiliation:

1. National University of Defense Technology, Hunan, China

2. Eindhoven University of Technology and TNO Embedded Systems Innovation, Eindhoven, the Netherlands

3. Eindhoven University of Technology, Eindhoven, the Netherlands

Abstract

This article studies the scheduling of real-time streaming applications on multiprocessor systems-on-chips with predictable memory hierarchy. An iteration-based task-FIFO co-scheduling framework is proposed for this problem. We obtain FIFO size distributions using Pareto space searching, based on which the task-to-processor mapping is obtained with the potential FIFO allocation being taken into account; then, the FIFO-to-memory allocation is optimized to minimize the total memory access cost; finally, a self-timed throughput analysis method that considers memory and direct memory access controller contention is utilized to analyze the throughput. Our methods are validated by a set of synthesized and practical applications on different platforms.

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Software

Cited by 3 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. Exploring Multi-Reader Buffers and Channel Placement During Dataflow Network Mapping to Heterogeneous Many-Core Systems;IEEE Access;2024

2. Dynamic Measurement of Task Scheduling Algorithm in Multi-Processor System;Journal of Shanghai Jiaotong University (Science);2019-06

3. Fluid wireless protocols;Proceedings of the 15th IEEE/ACM Symposium on Embedded Systems for Real-Time Multimedia;2017-10-15

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