管道- dbt:增强动态二进制转换模拟器以支持管道级仿真

IF 3.1 2区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Tiancheng Tang, Yi Man, Xinbing Zhou, Duqing Wang
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引用次数: 0

摘要

针对指令集模拟器(ISS)缺乏管道行为建模和循环精确模拟器(CAS)的性能限制,提出了基于动态二进制转换(DBT)的管道仿真框架Pipe-DBT。该方法通过两个关键技术实现了准确性和效率之间的平衡:(1)设计了管道状态描述符pipsdeep,将数据危害和资源争用抽象为关于资源占用和读写行为的形式化规则,从而避免了底层硬件细节;(2)引入基于协程的指令执行流分区机制,采用动态挂起/恢复,实现多级流水线的周期精确调度。Pipe-DBT在QEMU上实现,支持变长管道、具有四问题能力的超长指令字(VLIW)架构和管道转发。在典型的DSP工作负载下,它可以实现400-1100 KIPS的仿真速度,在周期精确模式下比Gem5提高2.3 \(\times\)。实验结果表明,只需要对主机DBT框架进行模块化扩展就可以适应异构管道微架构,从而为处理器设计提供高吞吐量的仿真基础设施。据我们所知,这是在DBT模拟器上实现的第一个流水线级仿真模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pipe-DBT: enhancing dynamic binary translation simulators to support pipeline-level simulation

In response to the lack of pipeline behavior modeling in Instruction-Set Simulators (ISS) and the performance limitations of Cycle-Accurate Simulators (CAS), this paper proposes Pipe-DBT, a pipeline simulation framework based on Dynamic Binary Translation (DBT). This method achieves a balance between accuracy and efficiency through two key techniques: (1) the design of a pipeline state descriptor called Pipsdep, which abstracts data hazards and resource contentions in the form of formal rules about resource occupancy and read/write behaviors, thereby avoiding low-level hardware details; (2) the introduction of a coroutine-based instruction execution flow partitioning mechanism that employs dynamic suspension/resumption to realize cycle-accurate scheduling in multi-stage pipelines. Implemented on QEMU, Pipe-DBT supports variable-length pipelines, a Very Long Instruction Word (VLIW) architecture with four-issue capability, and pipeline forwarding. Under typical DSP workloads, it achieves a simulation speed of 400–1100 KIPS, representing a 2.3\(\times\) improvement over Gem5 in cycle-accurate mode. Experimental results show that only modular extensions to the host DBT framework are required to accommodate heterogeneous pipeline microarchitectures, thereby providing a high-throughput simulation infrastructure for processor design. To the best of our knowledge, this is the first pipeline-level simulation model implemented on a DBT simulator.

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来源期刊
Automated Software Engineering
Automated Software Engineering 工程技术-计算机:软件工程
CiteScore
4.80
自引率
11.80%
发文量
51
审稿时长
>12 weeks
期刊介绍: This journal details research, tutorial papers, survey and accounts of significant industrial experience in the foundations, techniques, tools and applications of automated software engineering technology. This includes the study of techniques for constructing, understanding, adapting, and modeling software artifacts and processes. Coverage in Automated Software Engineering examines both automatic systems and collaborative systems as well as computational models of human software engineering activities. In addition, it presents knowledge representations and artificial intelligence techniques applicable to automated software engineering, and formal techniques that support or provide theoretical foundations. The journal also includes reviews of books, software, conferences and workshops.
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