Noxim模拟器的跟踪驱动和处理时间扩展

IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Ivan Luiz Pedroso Pires, Marco Antonio Zanata Alves, Luiz Carlos Pessoa Albini
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引用次数: 2

摘要

在片上网络领域,仿真是分析和测试新方案的主要工具之一。在文献中可以找到几个模拟器,其中Noxim模拟器脱颖而出。由于无线支持和开源可用性,许多研究人员正在使用它。仿真阶段的一个重要问题是工作负载的选择,因为它可能会影响系统及其特性的测试。正确的工作负载可以导致快速和有效的系统开发,而错误的工作负载可能会损害整个系统的评估。为了确保更真实的模拟,模拟器通常通过使用跟踪驱动的方法依赖于真实的工作负载。虽然Noxim为输入跟踪提供了简单的支持,但它非常局限于系统的一般行为,只接受随时间变化的通用注入速率参数。模拟器的另一个重要部分是考虑处理元素处理时间的能力。我们在本文中提出了Noxim模拟器的扩展来解决这些问题。因此,结果更加真实,并且可以非常准确地预测总执行时间。此扩展使用NAS-NPB工作负载进行演示和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trace-driven and processing time extensions for Noxim simulator
Simulation is one of the main tools used to analyze and test new proposals in the Network-on-Chip field. Several simulators can be found in the literature, among them the Noxim simulator stands out. It is being used by many researchers due to the wireless support and open-source availability. An important issue at the simulation phase is the choice of workload, as it may affect testing the system and its features. The correct workload can lead to rapid and efficient system development, while the wrong one may compromise the entire system evaluation. To ensure a more realistic simulation, simulators usually relies on real workloads by using a trace-driven approach. Although Noxim provides a simple support for input traces, it is very limited to a general behavior of the system, accepting only a generic injection rate parameter over time. Another important part of the simulator is the ability to consider the Processing Elements processing time. We propose in this paper an extension of the Noxim simulator to address these issues. Consequently, results are more realistic and may be possible to predict the total execution time very accurately. This extension is demonstrated and evaluated using the NAS-NPB workload.
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来源期刊
Design Automation for Embedded Systems
Design Automation for Embedded Systems 工程技术-计算机:软件工程
CiteScore
2.60
自引率
0.00%
发文量
10
审稿时长
>12 weeks
期刊介绍: Embedded (electronic) systems have become the electronic engines of modern consumer and industrial devices, from automobiles to satellites, from washing machines to high-definition TVs, and from cellular phones to complete base stations. These embedded systems encompass a variety of hardware and software components which implement a wide range of functions including digital, analog and RF parts. Although embedded systems have been designed for decades, the systematic design of such systems with well defined methodologies, automation tools and technologies has gained attention primarily in the last decade. Advances in silicon technology and increasingly demanding applications have significantly expanded the scope and complexity of embedded systems. These systems are only now becoming possible due to advances in methodologies, tools, architectures and design techniques. Design Automation for Embedded Systems is a multidisciplinary journal which addresses the systematic design of embedded systems, focusing primarily on tools, methodologies and architectures for embedded systems, including HW/SW co-design, simulation and modeling approaches, synthesis techniques, architectures and design exploration, among others. Design Automation for Embedded Systems offers a forum for scientist and engineers to report on their latest works on algorithms, tools, architectures, case studies and real design examples related to embedded systems hardware and software. Design Automation for Embedded Systems is an innovative journal which distinguishes itself by welcoming high-quality papers on the methodology, tools, architectures and design of electronic embedded systems, leading to a true multidisciplinary system design journal.
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