跨isa系统模式仿真的高效内存虚拟化

Chao-Rui Chang, Jan-Jan Wu, W. Hsu, Pangfeng Liu, P. Yew
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引用次数: 20

摘要

跨isa系统模式仿真有许多重要的应用。例如,跨isa系统模式仿真通过在更强大的平台(如x86机器)上模拟较慢的平台(如ARM),帮助计算机架构师和操作系统开发人员有效地跟踪和调试内核执行流。跨isa系统模式仿真还支持在具有不同指令集架构(isa)平台的数据中心中整合工作负载。但是,系统模式模拟要慢得多。系统模式仿真中的一个主要开销是将来宾虚拟地址映射到主机物理地址的多级内存地址转换。影子页表(SPT)已用于减少此类开销,但主要用于相同的isa虚拟化。在本文中,我们提出了一种新的方法,称为嵌入式影子页表(ESPT)。EPST将影子页表嵌入到跨isa动态二进制转换(DBT)的地址空间中,并使用CPU中的硬件内存管理单元来转换内存地址,而不是像QEMU这样的DBT模拟器中的软件转换。我们还在现代64位cpu上使用更大的地址空间来容纳DBT模拟器,这样它就不会干扰客户机操作系统。我们将我们的新方案合并到QEMU中,QEMU是一个流行的,可重新定位的跨isa系统模拟器。SPEC CINT2006基准测试结果表明,我们的技术在系统模式下在x86上仿真ARM时平均加速达到1.51倍,在x86_64上仿真IA32时平均加速达到1.59倍。
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Efficient memory virtualization for Cross-ISA system mode emulation
Cross-ISA system-mode emulation has many important applications. For example, Cross-ISA system-mode emulation helps computer architects and OS developers trace and debug kernel execution-flow efficiently by emulating a slower platform (such as ARM) on a more powerful plat-form (such as an x86 machine). Cross-ISA system-mode emulation also enables workload consolidation in data centers with platforms of different instruction-set architectures (ISAs). However, system-mode emulation is much slower. One major overhead in system-mode emulation is the multi-level memory address translation that maps guest virtual address to host physical address. Shadow page tables (SPT) have been used to reduce such overheads, but primarily for same-ISA virtualization. In this paper we propose a novel approach called embedded shadow page tables (ESPT). EPST embeds a shadow page table into the address space of a cross-ISA dynamic binary translation (DBT) and uses hardware memory management unit in the CPU to translate memory addresses, instead of software translation in a current DBT emulator like QEMU. We also use the larger address space on modern 64-bit CPUs to accommodate our DBT emulator so that it will not interfere with the guest operating system. We incorporate our new scheme into QEMU, a popular, retargetable cross-ISA system emulator. SPEC CINT2006 benchmark results indicate that our technique achieves an average speedup of 1.51 times in system mode when emulating ARM on x86, and a 1.59 times speedup for emulating IA32 on x86_64.
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