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Analyzing GPU Performance in Virtualized Environments: A Case Study

Adel Belkhiri and Michel Dagenais

Article (2024)

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The graphics processing unit (GPU) plays a crucial role in boosting application performance and enhancing computational tasks. Thanks to its parallel architecture and energy efficiency, the GPU has become essential in many computing scenarios. On the other hand, the advent of GPU virtualization has been a significant breakthrough, as it provides scalable and adaptable GPU resources for virtual machines. However, this technology faces challenges in debugging and analyzing the performance of GPU-accelerated applications. Most current performance tools do not support virtual GPUs (vGPUs), highlighting the need for more advanced tools. Thus, this article introduces a novel performance analysis tool that is designed for systems using vGPUs. Our tool is compatible with the Intel GVT-g virtualization solution, although its underlying principles can apply to many vGPU-based systems. Our tool uses software tracing techniques to gather detailed runtime data and generate relevant performance metrics. It also offers many synchronized graphical views, which gives practitioners deep insights into GVT-g operations and helps them identify potential performance bottlenecks in vGPU-enabled virtual machines.

Uncontrolled Keywords

GPU virtualization; GVT-g; performance analysis; software tracing

Subjects: 2700 Information technology > 2700 Information technology
Department: Department of Computer Engineering and Software Engineering
Funders: Natural Sciences and Engineering Research Council of Canada (NSERC), Prompt, Ericsson, Ciena, AMD, EfficiOS
Grant number: NSERC Alliance project 554158-2
PolyPublie URL: https://publications.polymtl.ca/57587/
Journal Title: Future Internet (vol. 16, no. 3)
Publisher: Multidisciplinary Digital Publishing Institute
DOI: 10.3390/fi16030072
Official URL: https://doi.org/10.3390/fi16030072
Date Deposited: 25 Mar 2024 15:21
Last Modified: 06 Apr 2024 00:24
Cite in APA 7: Belkhiri, A., & Dagenais, M. (2024). Analyzing GPU Performance in Virtualized Environments: A Case Study. Future Internet, 16(3), 72 (18 pages). https://doi.org/10.3390/fi16030072


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