首页> 外文OA文献 >Using integer linear programming for instruction scheduling and register allocation in multi-issue processors
【2h】

Using integer linear programming for instruction scheduling and register allocation in multi-issue processors

机译:使用整数线性编程进行多问题处理器中的指令调度和寄存器分配

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

[[abstract]]Instruction scheduling and register allocation are two very important optimizations in modern compilers for advanced processors. These two optimizations must be performed simultaneously in order to maximize the instruction-level parallelism and to fully utilize the registers [1]. In this paper, we solve register allocation and instruction scheduling simultaneously using integer linear programming (ILP). We have successfully worked out the ILP formulations for the problem with and without register spilling. Two kinds of optimizations are considered: (1) fix the number of free registers and then solve the minimum number of cycles to execute the instructions, or (2) fix the maximum execution cycles for the instructions and solve the minimum number of registers needed. Besides being theoretically interesting, our solution serves as a reference point for other heuristic solutions. The formulations are also applicable to high-level synthesis of ASICs and designs for embedded processors. In these application domains, the code quality is more important than the compilation time.
机译:[[摘要]]指令调度和寄存器分配是现代编译器中用于高级处理器的两个非常重要的优化。为了使指令级并行度最大化并充分利用寄存器[1],必须同时执行这两个优化。在本文中,我们使用整数线性规划(ILP)同时解决寄存器分配和指令调度。无论是否发生寄存器溢出,我们已经成功解决了该问题的ILP公式。考虑了两种优化:(1)固定空闲寄存器的数量,然后求解执行指令的最小周期数,或(2)固定指令的最大执行周期,并求解所需的最小寄存器数。除了理论上有趣之外,我们的解决方案还可以作为其他启发式解决方案的参考。该公式还适用于ASIC的高级综合和嵌入式处理器的设计。在这些应用程序域中,代码质量比编译时间更重要。

著录项

  • 作者

    Chang,Chia-Ming;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 [[iso]]en
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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