译码制导的动态二进制翻译优化

提出了一种译码制导的轻量级动态二进制翻译优化技术,该技术在译码阶段提取源指令的高层语义信息,结合上下文对其进行标注,并在翻译阶段利用标注信息直接生成优化的目标指令.该技术可识别动态二进制翻译系统中主要的基本块级优化机会,去除load/store冗余、精确异常导致的冗余和标志位处理冗余.测试表明,相比QEMU,该优化技术的跨平台x86系统虚拟机ARCH-BRIDGE的翻译开销降低了53％,翻译块尺寸降低了78％,load和store操作数量分别了降低了50％和21％.

Decoding-directed Dynamic Binary Translation Optimization

The paper introduced a decoding-directed lightweight optimization technique for dynamic binary translation.In decoding phase,it extracts high-level semantics from source instructions,attaches appropriate annotations to them according to the context,and in translation phase,it emits optimized local instruction directly using the annotation information.The technique may identify most block-level optimization opportunities of dynamic binary translation system,and remove redundancies generated by load/store,precise exception supporting and flags handling.Evaluation demonstrates that taking QEMU for reference,the translation overhead of cross-platform x86 system virtual machine ARCH-BRIDGE using above technique gets a decrease of 53%,while the translation block size decreases by 78%,and the load/store operation number deceases by 50% and 21% respectively.