Tiaozhuan: A General and Efficient Indirect Branch Optimization for Binary Translation
Year: 2024
Type: article
Abstract: Binary translation enables transparent execution, analysis, and modification of the binary program, serving as a core technology that facilitates instruction set emulation, cross-platform compatibility of software, and program instrumentation. Handling indirect branch instructions is widely recognized as a significant performance bottleneck in binary translation. While the target of a direct branch can be determined during the translation phase, an indirect branch requires a runtime lookup from the guest program counter to the host program counter, significantly influencing the performance of translator. Although several methods have been proposed to accelerate this process, each guest indirect branch instruction still translates into approximately 10 host instructions, resulting in considerable overhead. This article introduces Tiaozhuan, which addresses this issue by employing two optimization schemes. First, full address mapping uses a larger address space to store address mappings from guest to host, effectively reducing the number of instructions required to lookup the target of an indirect branch. Second, exceptionassisted branch elimination further eliminates branch instructions that check target correctness of targets in the lookup process. These two approaches enable indirect branches target lookup to be completed within one to two instructions, noticeably decreasing the overhead of indirect branches. Compared to state-of-the-art mechanisms, the SPEC CPU2006 benchmark suite showed a reduction in the number of instructions by an average of 4.2%, with the highest observed performance improvement reaching 19.4% and an average increase of 3.9%.
DOI: 10.1145/3703355
Authors: Xinyu Li, Guangyao Guo, Yanzhi Lan, Feng Xue, Chenji Han, Gen Niu, Fuxin Zhang
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404047495