A study on Multiple-Instance GPU, Evolution, Architecture and Applications
Abstract
Multiple Instance GPU (MIG) is a promising
technology for improving the efficiency and scalability of GPUbased systems. MIG allows multiple users or workloads to share a single physical GPU while maintaining performance and resource isolation. This study covers the evolution of GPUs, the architecture of MIG, and various applications of MIG, including virtualization, deep learning inference, and high-performance computing. The study also discusses the architectural considerations of MIG for scalable GPU virtualization and the challenges in implementing MIG in real-world systems. The references provided offer further insights into the technical details of MIG and its potential for improving the performance and cost-effectiveness of GPU-based systems.
Keywords:
Graphics Processing Unit (GPU, Multiple Instance GPU (MIG), GPU virtualization, deep learning inference, high performance computing
Published
Issue
Section
License
Copyright (c) 2023 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- P S Aswin, Archana Madhusudhanan , Athulya Sajeev, Neeha Moideen , C R Suhail, Revolutionizing Football Management: A Data-Driven Approach with Random Forest Regressor , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Linsa Mathew, Jifith Joseph, George P Kurias, Gokul Krishna A U, Sharunmon R, TraceFusion: Precision AI for Missing and Wanted Person Detection , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Adithya Raj, Jibin Gigi, Lidiya Reju, Manu Emmanuel, Smitha Jacob, Footage Analysis Toolkit: A System for Semantic Video Retrieval and Structured Forensic Analysis , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Eric Biji Varghese, MediLens: An AI-Powered Medicine Information and Assistance System , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Dr.Jacob John, Aadhi Lakshmi M R, Alan Thomas Shaji, Alphonsa Francis, Adithyan Suresh Kumar, An Idea Sharing and Validation Platform Using Blockchain with Delegated Proof of Contribution (DPoC) , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dr.Jacob John, Alan Thomas Shaji, Adithyan Suresh Kumar, Aadhi Lakshmi M R, Alphonsa Francis, An Idea Sharing and Validation Platform Using Blockchain with Delegated Proof of Contribution (DPoC) , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Aksa Ann Jacob, Midhun P Mathew, Adarsh S, Aaron Tom Viji, Aleena Varghese, A STUDY ON DISEASE DETECTION AND REMEDY IDENTIFICATION IN LEAVES , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- M Midhun, Sangeetha Tony, Tibin Abraham, B Vyshnav, ACCIDENT DETECTION USING VIDEO SURVEILLANCE , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Aaron Samuel Mathew, Adhil Salim , From Exorbitant to Affordable: The Evolution of AI Training Costs , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Honey Thomas, Linna Benny, Saya Nezrin, Navya Neethi S, Niya Joseph, Smart Communication Software for the Hearing Impaired Using Artificial Intelligence , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
You may also start an advanced similarity search for this article.