DQEMU: A Scalable Emulator with Retargetable DBT on Distributed Platforms

Ziyi Zhao, Zhang Jiang, Ximing Liu, Xiaoli Gong, Wenwen Wang, Pen Chung Yew

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


The scalability of a dynamic binary translation (DBT) system has become important due to the prevalence of multicore systems and large multi-threaded applications. Several recent efforts have addressed some critical issues in extending a DBT system to run on multicore platforms for better scalability. In this paper, we present a distributed DBT framework, called DQEMU, that goes beyond a single-node multicore processor and can be scaled up to a cluster of multi-node servers. In such a distributed DBT system, we integrate a page-level directory-based data coherence protocol, a hierarchical locking mechanism, a delegation scheme for system calls, and a remote thread migration approach that are effective in reducing its overheads. We also proposed several performance optimization strategies that include page splitting to mitigate false data sharing among nodes, data forwarding for latency hiding, and a hint-based locality-aware scheduling scheme. Comprehensive experiments have been conducted on DQEMU with micro-benchmarks and the PARSEC benchmark suite. The results show that DQEMU can scale beyond a single-node machine with reasonable overheads. For "embarrassingly-parallel" benchmark programs, DQEMU can achieve near-linear speedup when the number of nodes increases - as opposed to flattened out due to lack of computing resources as in current single-node, multi-core version of QEMU.

Original languageEnglish (US)
Title of host publicationProceedings of the 49th International Conference on Parallel Processing, ICPP 2020
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450388160
StatePublished - Aug 17 2020
Event49th International Conference on Parallel Processing, ICPP 2020 - Virtual, Online, Canada
Duration: Aug 17 2020Aug 20 2020

Publication series

NameACM International Conference Proceeding Series


Conference49th International Conference on Parallel Processing, ICPP 2020
CityVirtual, Online

Bibliographical note

Funding Information:
This work is partially supported by the National Natural Science Foundation of China (61702286), the National Key Research and Development Program of China (2018YFB1003405), the Natural Science Foundation of Tianjin, China (18JCY-BJC15600), the CERNET Innovation Project (NGII20190514), and a faculty startup funding of the University of Georgia.

Publisher Copyright:
© 2020 ACM.


  • Dynamic binary translator
  • distributed emulator
  • distributed system


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