Multi-Objective Optimization for the Compiler of Real-Time Systems based on Flower Pollination Algorithm
作者: Shashank JadhavHeiko Falk
作者单位: Institute of Embedded Systems, Hamburg University of Technology, Germany;;Institute of Embedded Systems, Hamburg University of Technology, Germany
论文集英文名称: Software and Compilers for Embedded Systems
来源数据库: Association for Computing Machinery
DOI: 10.1145/3323439.3323977
关键词: Computation In MemoryMemristorNon-Volatile MemoryNon-Von Neumann ArchitectureSimulator
原始语种摘要: Real-time systems usually face stringent constraints such as execution time, energy consumption, code-size, etc. Performing multi-objective optimization at compile time is one way to find approximations over the possible solutions which fulfill these constraints. Flower pollination algorithm (FPA) is a relatively recently proposed metaheuristic algorithm which makes use of the evolutionary characteristics of flower pollination process to find solutions to an optimization problem. In this paper, we propose a theoretical framework for an extension for the WCET-A ware C Compiler (WCC) framework [2] for performing multi-objective optimizations based on the FPA during compile time.
全文获取路径: ACM 

  • optimization 最佳化
  • evolutionary 进化
  • framework 构架
  • objective 接物镜
  • propose 提议
  • stringent 严格
  • theoretical 理论的
  • algorithm 算法
  • relatively 比较
  • constraints 系统规定参数