vSoC: Efficient Virtual System-on-Chip on Heterogeneous Hardware

Emerging mobile apps such as UHD video and AR/VR access diverse high-throughput hardware devices, e.g., video codecs, cameras, and image processors. However, today's mobile emulators exhibit poor performance when emulating these devices. We pinpoint the major reason to be the discrepancy between the guest's and host's memory architectures for hardware devices, i.e., the mobile guest's centralized memory on a system-on-chip (SoC) versus the PC/server's separated memory modules on individual hardware. Such a discrepancy makes the shared virtual memory (SVM) architecture of mobile emulators highly inefficient.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1145/3694715.3695946
Citations
3
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
1.47
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article

vSoC: Efficient Virtual System-on-Chip on Heterogeneous Hardware

Di Gao, Hsiao Wei Su, Tianyin Xu, Zijie Zhou et al.
3 citations
Parallel Computing and Optimization Techniques
1.47
article

vSoC: Efficient Virtual System-on-Chip on Heterogeneous Hardware

Di Gao, Hsiao Wei Su, Tianyin Xu, Zijie Zhou, Feng Qian, Hao Lin, Yang Li, Zhenhua Li, Xin Miao, Yunhao Liu, Jiaxing Qiu
article en
3 citations

Abstract

Emerging mobile apps such as UHD video and AR/VR access diverse high-throughput hardware devices, e.g., video codecs, cameras, and image processors. However, today's mobile emulators exhibit poor performance when emulating these devices. We pinpoint the major reason to be the discrepancy between the guest's and host's memory architectures for hardware devices, i.e., the mobile guest's centralized memory on a system-on-chip (SoC) versus the PC/server's separated memory modules on individual hardware. Such a discrepancy makes the shared virtual memory (SVM) architecture of mobile emulators highly inefficient.

University of Southern California (US), University of Illinois Urbana-Champaign (US), Tsinghua University (CN)
Openalex Percentile: Top 16%
Parallel Computing and Optimization Techniques
1.47
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vSoC: Efficient Virtual System-on-Chip on Heterogeneous Hardware — Di Gao, Hsiao Wei Su, et al. · (2024) | TGRS Research Map | TGRS