RTGPU: Real-Time Computing with Graphics Processing Units : Architectures, Challenges, and Solutions for Time-Critical GPU Systems / by Atiyeh Gheibi-Fetrat, Sepideh Safari, Shaahin Hessabi, Hamid Sarbazi-Azad.

Format:

Book

Author/Creator:

Gheibi-Fetrat, Atiyeh.

Series:

Synthesis Lectures on Computer Architecture, 1935-3243

Language:

English

Subjects (All):

Electronic circuit design.

Embedded computer systems.

Microprocessors.

Computer architecture.

Electronics Design and Verification.

Embedded Systems.

Processor Architectures.

Local Subjects:

Electronics Design and Verification.

Embedded Systems.

Processor Architectures.

Physical Description:

1 online resource (157 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

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.

Contents:

Introduction to Real-Time GPU Systems

Fundamentals of GPU and Real-Time System Architectures

Challenges of Integrating GPUs into Real-Time Systems

GPU Scheduling Techniques

Explicitly Considering Real-Time Constraints

Implicit Real-Time Scheduling

Future Directions and Applications.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-11422-5

9783032114228

OCLC:

1577545801