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Ballooning Graphics Memory Space in Full GPU Virtualization Environments
المؤلفون المشاركون
Park, Younghun
Gu, Minwoo
Park, Sungyong
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-23
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Advances in virtualization technology have enabled multiple virtual machines (VMs) to share resources in a physical machine (PM).
With the widespread use of graphics-intensive applications, such as two-dimensional (2D) or 3D rendering, many graphics processing unit (GPU) virtualization solutions have been proposed to provide high-performance GPU services in a virtualized environment.
Although elasticity is one of the major benefits in this environment, the allocation of GPU memory is still static in the sense that after the GPU memory is allocated to a VM, it is not possible to change the memory size at runtime.
This causes underutilization of GPU memory or performance degradation of a GPU application due to the lack of GPU memory when an application requires a large amount of GPU memory.
In this paper, we propose a GPU memory ballooning solution called gBalloon that dynamically adjusts the GPU memory size at runtime according to the GPU memory requirement of each VM and the GPU memory sharing overhead.
The gBalloon extends the GPU memory size of a VM by detecting performance degradation due to the lack of GPU memory.
The gBalloon also reduces the GPU memory size when the overcommitted or underutilized GPU memory of a VM creates additional overhead for the GPU context switch or the CPU load due to GPU memory sharing among the VMs.
We implemented the gBalloon by modifying the gVirt, a full GPU virtualization solution for Intel’s integrated GPUs.
Benchmarking results show that the gBalloon dynamically adjusts the GPU memory size at runtime, which improves the performance by up to 8% against the gVirt with 384 MB of high global graphics memory and 32% against the gVirt with 1024 MB of high global graphics memory.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Park, Younghun& Gu, Minwoo& Park, Sungyong. 2019. Ballooning Graphics Memory Space in Full GPU Virtualization Environments. Scientific Programming،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1210741
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Park, Younghun…[et al.]. Ballooning Graphics Memory Space in Full GPU Virtualization Environments. Scientific Programming No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1210741
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Park, Younghun& Gu, Minwoo& Park, Sungyong. Ballooning Graphics Memory Space in Full GPU Virtualization Environments. Scientific Programming. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1210741
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1210741
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