Practical Challenges of ILP-based SPM Allocation Optimizations
作者: Dominic OehlertArno LuppoldHeiko Falk
论文集英文名称: Software and Compilers for Embedded Systems
来源数据库: Association for Computing Machinery
DOI: 10.1145/2906363.2906371
关键词: CompilerModelingMulti-CoreOptimizationProcess VariationReliabilitySoft ErrorSystem Software
原始语种摘要: Scratchpad Memory (SPM) allocation is a well-known technique for compiler-based code optimizations. Integer-Linear Programming has been proven to be a powerful technique to determine which parts of a program should be moved to the SPM. Although the idea is quite straight-forward in theory, the technique features several challenges when being applied to modern embedded systems. In this paper, we aim to bring out the main issues and possible solutions which arise when trying to apply those optimizations to existing hardware platforms.
全文获取路径: ACM 

  • SPM 太阳质子监视器
  • technique 技术
  • existing 现行
  • features 特征
  • compiler 程序编制器自动编码器
  • hardware 硬件
  • apply 应用
  • embedded 嵌入
  • forward 促进
  • allocation 分配