Low overhead dynamic binary translation on ARM

Author:

D'Antras Amanieu1,Gorgovan Cosmin1,Garside Jim1,Luján Mikel1

Affiliation:

1. University of Manchester, UK

Abstract

The ARMv8 architecture introduced AArch64, a 64-bit execution mode with a new instruction set, while retaining binary compatibility with previous versions of the ARM architecture through AArch32, a 32-bit execution mode. Most hardware implementations of ARMv8 processors support both AArch32 and AArch64, which comes at a cost in hardware complexity. We present MAMBO-X64, a dynamic binary translator for Linux which executes 32-bit ARM binaries using only the AArch64 instruction set. We have evaluated the performance of MAMBO-X64 on three existing ARMv8 processors which support both AArch32 and AArch64 instruction sets. The performance was measured by comparing the running time of 32-bit benchmarks running under MAMBO-X64 with the same benchmark running natively. On SPEC CPU2006, we achieve a geometric mean overhead of less than 7.5% on in-order Cortex-A53 processors and a performance improvement of 1% on out-of-order X-Gene 1 processors. MAMBO-X64 achieves such low overhead by novel optimizations to map AArch32 floating-point registers to AArch64 registers dynamically, handle overflowing address calculations efficiently, generate traces that harness hardware return address prediction, and handle operating system signals accurately.

Funder

Royal Society

Engineering and Physical Sciences Research Council

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference24 articles.

1. Apple. Apple — Rosetta 2006. Apple. Apple — Rosetta 2006.

2. Cortex-A57 Software Optimization Guide. ARM 2016. Cortex-A57 Software Optimization Guide. ARM 2016.

3. Dynamo

4. Denver: Nvidia's First 64-bit ARM Processor

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