中国科技核心期刊

中文核心期刊

CSCD来源期刊

空间控制技术与应用 ›› 2022, Vol. 48 ›› Issue (5): 125-132.doi: 10.3969/j.issn.1674 1579.2022.05.014

• 论文与报告 • 上一篇    

一种可重构的星载高性能智能异构计算系统

  

  1. 西安交通大学微电子学院
  • 出版日期:2022-10-26 发布日期:2022-11-02
  • 基金资助:
    国家重点研发计划资助项目(2020YFB1808003)

A Reconfigurable on Board High Performance Intelligent Heterogeneous Computing System

  • Online:2022-10-26 Published:2022-11-02

摘要: 针对星载高性能计算需求,基于高可靠最小系统和可重构计算单元,提出了一种面向在轨可重构、智能化、可演进的异构计算系统架构.基于该异构计算系统架构,设计和实现了一种可重构FPGA DSP异构计算单元,该异构计算单元具备高可靠最小系统功能,具备高性能FPGA逻辑和丰富DSP多核等资源,可支持4类FPGA程序和6类DSP程序重构,可支持图像处理等参数上注,分时加载完成不同任务,可支持24种程序组合.同时,基于FPGA DSP计算单元,完成了一种面向遥感影像在轨处理的计算系统设计,具备云检测、相对辐射校正等预处理功能,具备基于地理位置的ROI提取、基于目标检测的ROI提取、ROI切片图像的用户处理等功能.未来,基于该可重构的星载高性能计算系统架构,可用于构建更高性能智能异构计算单元,灵活配置计算单元数量和类型,实现更先进的星载高性能智能异构计算系统.

关键词: 星载, 可重构, 智能化, 异构, 最小系统, 计算单元, 计算系统

Abstract: To meet the requirements of high efficiency and high performance on board computing, an on orbit reconfigurable, intelligent and evolvable heterogeneous computing system architecture was proposed based on highly reliable minimum system and intelligent heterogeneous computing unit. Based on the heterogeneous computing system architecture, a reconfigurable FPGA DSP intelligent heterogeneous computing unit is designed and implemented. The heterogeneous computing unit has the function of highly reliable minimum system, high performance FPGA logic and rich DSP multi core resources, and can support up to 4 kinds of FPGA programs and 6 kinds of DSP program reconstruction. It can support the on orbit processing of multi type parameter annotation, time sharing loading to complete different tasks, and can support up to 24 kinds of program combination. Based on the FPGA DSP computing unit, a computing system for on orbit processing of remote sensing images is designed and implemented, which has preprocessing functions such as cloud detection and relative radiation correction, and on orbit processing functions such as ROI extraction based on geographic location, ROI extraction based on target detection and user processing of extracted slice images. In the future, based on this heterogeneous computing system architecture, intelligent heterogeneous computing units with higher performance will be constructed, the number and types of computing units will be flexibly configured, and more advanced space borne intelligent heterogeneous computing systems will be realized.

Key words: on board, reconfigurable, intelligent, heterogeneous, minimum system, computing unit, computing system

中图分类号: 

  • V443