RTGPU: Real-Time Computing with Graphics Processing Units
Architectures, Challenges, and Solutions for Time-Critical GPU Systems
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Beschreibung
This is a comprehensive and forward-thinking book that addresses one of the most pressing challenges in modern computing: how to leverage the immense computational power of GPUs within the stringent constraints of real-time systems. As industries demand faster, smarter, and more responsive technologies—autonomous vehicles, robotics, edge AI, and cyber-physical systems—the ability to deliver deterministic performance on inherently non-deterministic hardware becomes critical.
This book dives deep into the architectural mismatch between GPUs and real-time requirements, unravelling the complexity of preemption limitations, variable execution times, synchronization bottlenecks, and resource contention. It presents a unified view of the field, combining foundational knowledge with state-of-the-art solutions, ranging from innovative scheduling algorithms and multitasking frameworks to power-aware design strategies and emerging hardware paradigms.
Clear, rigorous, and research-driven, this book is an essential reference for computer scientists, embedded systems engineers, and academic researchers looking to design the next generation of real-time, GPU-accelerated systems. It doesn’t just review the field—it defines it.
In addition, this book:
- Addresses the integration of high-performance GPU acceleration into systems governed by strict temporal constraints
- Provides a unified treatment of concepts from parallel processing, embedded systems, and scheduling theory
- Offers tools applicable to domains such as autonomous driving, robotics, real-time analytics and cyber-physical systems
This is a comprehensive and forward-thinking book that addresses one of the most pressing challenges in modern computing: how to leverage the immense computational power of GPUs within the stringent constraints of real-time systems. As industries demand faster, smarter, and more responsive technologies—autonomous vehicles, robotics, edge AI, and cyber-physical systems—the ability to deliver deterministic performance on inherently non-deterministic hardware becomes critical.
This book dives deep into the architectural mismatch between GPUs and real-time requirements, unravelling the complexity of preemption limitations, variable execution times, synchronization bottlenecks, and resource contention. It presents a unified view of the field, combining foundational knowledge with state-of-the-art solutions, ranging from innovative scheduling algorithms and multitasking frameworks to power-aware design strategies and emerging hardware paradigms.
Clear, rigorous, and research-driven, this book is an essential reference for computer scientists, embedded systems engineers, and academic researchers looking to design the next generation of real-time, GPU-accelerated systems. It doesn’t just review the field—it defines it.
Addresses the integration of high-performance GPU acceleration into systems governed by strict temporal constraints Provides a unified treatment of concepts from parallel processing, embedded systems, and scheduling theory Offers tools applicable to domains such as autonomous driving, robotics, real-time analytics and cyber-physical systems
Autor*in
Atiyeh Gheibi-Fetrat
Themen in »RTGPU: Real-Time Computing with Graphics Processing Units«
Graphics processing unit GPU Real-Time GPU Systems Integrating GPUs into Real-Time Systems GPU Scheduling Techniques