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The rapid increase in the number of IoT (Internet of Things) devices and the consequent surge in data transmission pose significant challenges to real-time data processing and telecommunication technologies. This has led to a growing interest in edge computing as a means to mitigate latency issues associated with centralized cloud processing. In this context, the integration of energy-efficient programmable GPUs (Graphics Processing Units) alongside CPUs (Central Processing Units) in IoT devices presents a promising opportunity to address latency challenges in real-time IoT applications. This brief review explores the potential of integrating energy-efficient programmable GPUs (Graphics Processing Units) alongside CPUs (Central Processing Units) in IoT devices to tackle latency issues in real-time IoT applications. The focus is on how GPUs can accelerate real-time IoT applications and minimize latency, providing valuable insights for developers looking to harness the capabilities of GPUs in IoT devices. Key considerations include identifying suitable real-time IoT applications’ parts for GPU offloading and efficiently managing the offloading process.

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Empowering Real-Time IoT Applications: A Brief Review on Leveraging GPU Acceleration for Latency Reduction

  • 会议论文

  • 发表日期：

    2025年

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  • Amina Selma Haichour,
  • Khaled Benfriha

摘要

The rapid increase in the number of IoT (Internet of Things) devices and the consequent surge in data transmission pose significant challenges to real-time data processing and telecommunication technologies. This has led to a growing interest in edge computing as a means to mitigate latency issues associated with centralized cloud processing. In this context, the integration of energy-efficient programmable GPUs (Graphics Processing Units) alongside CPUs (Central Processing Units) in IoT devices presents a promising opportunity to address latency challenges in real-time IoT applications. This brief review explores the potential of integrating energy-efficient programmable GPUs (Graphics Processing Units) alongside CPUs (Central Processing Units) in IoT devices to tackle latency issues in real-time IoT applications. The focus is on how GPUs can accelerate real-time IoT applications and minimize latency, providing valuable insights for developers looking to harness the capabilities of GPUs in IoT devices. Key considerations include identifying suitable real-time IoT applications’ parts for GPU offloading and efficiently managing the offloading process.