浮点到定点的高效翻译策略研究  

High-performance Floating-point to Fixed-point Translation Strategy

作　　者：郑重[1] 陈顼颢[1] 沈立[1] 王志英[1] 

机构地区：[1]国防科学技术大学计算机学院,长沙410073

出　　处：《计算机科学与探索》2011年第5期446-451,共6页Journal of Frontiers of Computer Science and Technology

基　　金：国家自然科学基金 No.60803041;国家重点基础研究发展规划(973) No.2007CB310901;国防科大优秀研究生创新项目 No.S090602~~

摘　　要：动态二进制翻译中,在目标平台没有浮点部件、不支持浮点运算的情况下,浮点指令只能通过模拟解释执行。浮点指令的解释执行造成翻译系统效率急剧下降。通过将浮点指令运算转化为定点运算,解决了浮点指令在目标平台的翻译,为浮点指令的翻译找到了新的途径。在动态二进制翻译系统中进行实验,验证了翻译方法的可行性。实验显示翻译系统的性能有明显提升,含有浮点指令的比例越高,算法能够获得的加速比越高,对含有25%浮点指令的程序,该算法能达到1.55的加速比。When doing dynamic binary translation,if no floating-point component exists in the target platform so that it does not support floating-point operations,floating-point instructions can only be interpreted through simulation.Interpretation of floating-point instruction causes a sharp translation efficiency decrease.This article addresses a method that translating floating-point operations into fixed-point operations,which gives a new way to solve floating-point instruction translation in the no-floating target platform.Implementation of this method in a dynamic binary translation system proves the feasibility of the translation algorithm.The experiment also shows significantly the improvement of performance and the higher the proportion of floating-point instruction,the higher the speedup.And the speedup is up to 1.55 when the binary code contains 25% floating-point instructions.

关 键 词：动态二进制翻译 浮点 定点 

分 类 号：TP302[自动化与计算机技术—计算机系统结构]