Reducing fine-grain communication overhead in multithread code generation for heterogeneous MPSoC

L. Brisolara, Sang-Il Han, X. Guerin, L. Carro, R. Reis, S. Chae, A. Jerraya
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引用次数: 17

Abstract

Heterogeneous MPSoCs present unique opportunities for emerging embedded applications, which require both high-performance and programmability. Although, software programming for these MPSoC architectures requires tedious and error-prone tasks, thereby automatic code generation tools are required. A code generation method based on fine-grain specification can provide more design space and optimization opportunities, such as exploiting fine-level parallelism and more efficient partitions. However, when partitioned, fine-grain models may require a large number of inter-processor communications, decreasing the overall system performance. This paper presents a Simulink-based multithread code generation method, which applies Message Aggregation optimization technique to reduce the number of inter-processor communications. This technique reduces the communication overheads in terms of execution time by reduction on the number of messages exchanged and in terms of memory size by the reduction on the number of channels. The paper also presents experiment results for one multimedia application, showing performance improvements and memory reduction obtained with Message Aggregation technique.
减少异构MPSoC多线程代码生成中的细粒度通信开销
异构mpsoc为新兴的嵌入式应用提供了独特的机会,这些应用需要高性能和可编程性。尽管这些MPSoC架构的软件编程需要繁琐且容易出错的任务,因此需要自动代码生成工具。基于细粒度规范的代码生成方法可以提供更多的设计空间和优化机会,例如利用细粒度并行性和更有效的分区。然而,当进行分区时,细粒度模型可能需要大量的处理器间通信,从而降低系统的整体性能。本文提出了一种基于simulink的多线程代码生成方法,该方法采用消息聚合优化技术来减少处理器间的通信次数。这种技术通过减少交换的消息数量来减少执行时间方面的通信开销,通过减少通道数量来减少内存大小方面的通信开销。本文还给出了一个多媒体应用程序的实验结果,表明消息聚合技术提高了性能,减少了内存。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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