首页> 外文会议>Embedded Computer Systems: Architectures, Modeling, and Simulation >A Multi-objective and Hierarchical Exploration Tool for SoC Performance Estimation
【24h】

A Multi-objective and Hierarchical Exploration Tool for SoC Performance Estimation

机译:SoC性能估计的多目标层次探索工具

获取原文
获取原文并翻译 | 示例

摘要

In this paper we present a flexible performance estimation tool called Nessie developed to provide system-on-chip designers with automated multi-objective design space exploration and its related tool called Yeti building and executing reusable closed-formed models. After reviewing the existing closed-formed expressions based and application/platform mapping performance estimation tools, we propose an hybrid tool to cope with their limitations. We present a brief summary of the functionalities of Yeti and describe Nessie, our hierarchical application/platform performance estimation mapping tool which banalizes all the degrees of freedom for in-depth design space exploration and introduces multi-objective modeling. Through this paper, we explain how the combination of these tools provides the designer with innovative and powerful functionalities for performance prediction at the earlier stages of the design flow.
机译:在本文中,我们提供了一个名为Nessie的灵活性能评估工具,该工具旨在为片上系统设计人员提供自动多目标设计空间探索功能,以及与之相关的工具Yeti,用于构建和执行可重用的封闭式模型。在回顾了现有的基于封闭格式的表达式以及应用程序/平台映射性能估计工具之后,我们提出了一种混合工具来应对其局限性。我们简要介绍了Yeti的功能,并介绍了Nessie,这是我们的分层应用程序/平台性能估计映射工具,该工具禁止进行深度设计空间探索的所有自由度,并引入了多目标建模。通过本文,我们解释了这些工具的组合如何在设计流程的早期阶段为设计人员提供创新和强大的功能,以进行性能预测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号