SKU/Artículo: AMZ-B0G7KW1D1B
OpenCL Compute: High-Performance Compute Programming with OpenCL and Compute Kernels
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.61 kg
0.61 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Imagine tapping into the raw computational power of modern processors, some capable of performing trillions of operations per second. OpenCL unlocks this potential, enabling you to run complex workloads across diverse processors such as CPUs, GPUs, TPUs, QPUs, and other accelerators. This book, 'OpenCL Compute', serves as a practical guide, introducing you to kernels, the OpenCL API, and heterogeneous computing with a focus on non-graphical tasks. Whether you're a student, researcher, or industry professional, you gain foundational knowledge, hands-on examples, and deep technical insights to master compute-based operations in OpenCL. Starting off, you'll dive into essential concepts like the OpenCL execution model, memory hierarchy, and kernel fundamentals, before progressing into advanced techniques such as parallelization, particle simulations, ray tracing, and large-scale parallel data sorting. Along the way, real-world examples and step-by-step code implementations empower you to build efficient solutions while understanding the mechanics behind each process. The OpenCL ecosystem spans multiple vendors and platforms, offering a wide range of tools, resources, and optimizations that you can integrate seamlessly into your workflow. One of the central goals of OpenCL is to make complex ideas approachable, equipping you with the skills to create and deploy high-performance compute tasks across diverse hardware environments. As you progress, your curiosity and passion for compute programming grow naturally, and this guide becomes a valuable reference for exploring the capabilities of OpenCL. Whether tackling data-intensive problems or experimenting with creative visualizations, you use this book as a stepping stone to push the boundaries of what's possible with heterogeneous computing. Beyond the fundamentals, you'll also discover how OpenCL interacts with other APIs and frameworks, enabling workflows where graphical and computational tasks coexist. This integration opens the door to hybrid applications like advanced game engines, real-time physics simulations, and machine learning inference directly on different processors (like the GPU). Understanding these connections, you design applications that fully exploit the versatility of modern hardware. This practical text helps ensure your work translates effectively into real-world scenarios. Debugging, profiling, and performance tuning techniques help you identify bottlenecks and optimize code for maximum efficiency. You also learn strategies for cross-device compatibility, handling driver-level differences, and scaling workloads across multiple processors. With these insights, you develop the confidence to tackle both academic research projects and industry-scale applications, transforming OpenCL from a tool you study into a skill you actively apply.
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AR$128.675
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AR$88.741
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