RTGPU : real-time computing with graphics processing units : architectures, challenges, and solutions for time-critical GPU 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 technolog...
| Main Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
[2026]
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| Series: | Synthesis lectures in computer architecture (Springer (Firm))
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| Subjects: |
| Summary: | 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. |
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| Physical Description: | 1 online resource (xvii, 116 pages) : illustrations. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9783032114228 (electronic bk.) 3032114225 |
| ISSN: | 1935-3243 |