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  • GPU Programming: Exploring Parallel Computing from Local to Cloud Environments

  • De: Koffka Khan
  • Narrado por: Virtual Voice
  • Duración: 13 h y 11 m

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GPU Programming: Exploring Parallel Computing from Local to Cloud Environments

De: Koffka Khan
Narrado por: Virtual Voice
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Resumen del Editor

Welcome to "GPU Programming: Exploring Parallel Computing from Local to Cloud Environments." This textbook is designed to provide undergraduate students with a comprehensive understanding of GPU programming and its applications in both local and cloud computing environments.

In recent years, GPUs have evolved from being solely graphics processors to becoming powerful parallel computing engines capable of accelerating a wide range of computationally intensive tasks. This transformation has opened up new possibilities for high-performance computing, data analytics, machine learning, and scientific simulations.

This book aims to bridge the gap between theory and practice by offering a practical and hands-on approach to GPU programming. It provides a step-by-step exploration of GPU architectures, programming models, memory management, synchronization techniques, and performance optimization strategies. Moreover, it delves into the specific considerations and opportunities offered by cloud-based GPU programming.

The chapters are carefully crafted to guide you through the fundamental concepts of GPU programming, starting with the basics and gradually progressing to more advanced topics. Each chapter includes clear explanations, code examples, exercises, and real-world case studies to reinforce your learning and help you apply your knowledge effectively.

To make your learning journey comprehensive and up-to-date, we have included chapters dedicated to cloud-based GPU programming, where you will discover the nuances of setting up and utilizing GPU resources in cloud environments. Additionally, the book explores the emerging trends in GPU computing, including virtualization, multi-GPU programming, and the future directions of this rapidly evolving field.

Throughout the book, we encourage you to engage in hands-on exercises, experiment with code, and tackle real-world challenges. By the end of this course, you will have developed a solid foundation in GPU programming and gained the skills necessary to harness the parallel processing capabilities of GPUs, both locally and in the cloud.

We hope this textbook serves as a valuable resource for your undergraduate studies, equipping you with the knowledge and practical expertise to excel in the field of GPU programming. Get ready to embark on an exciting journey into the world of parallel computing and unlock the full potential of GPUs!

Happy learning!

Koffka Khan.
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