SKU/Artículo: AMZ-B0DRZ165Z8
Mastering CUDA Programming with C++: A Comprehensive Introduction
Format:
Hardcover
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En stock
En stock
Peso con empaque:
0.55 kg
0.55 kg
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Sí
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Nuevo
Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- Unlock the full potential of GPU computing with this comprehensive guide to CUDA programming in C++. Designed for expert programmers seeking to harness the immense power of parallel processing, this book delves deep into advanced concepts and techniques that transform computational performance.Key Features:Master the CUDA Thread Hierarchy Dive into the intricacies of grids, blocks, and threads. Learn how to effectively map complex computations onto the GPU's architecture, optimizing parallel execution and resource utilization.Advanced Memory Management Strategies Explore the nuanced roles of global, shared, constant, and texture memory. Discover techniques to minimize memory latency and maximize bandwidth, crucial for high-performance applications.Synchronization Techniques and Atomic Operations Understand the mechanisms of thread synchronization within CUDA. Utilize atomic operations to manage concurrent data access, ensuring data integrity without compromising performance.Optimization of Memory Access Patterns Learn to achieve memory coalescing and reduce bank conflicts. Implement strategies that enhance memory throughput and overall application speed.Harnessing CUDA Streams and Asynchronous Execution Utilize CUDA streams to overlap computation and data transfers. Master asynchronous execution models to fully exploit GPU capabilities and accelerate processing.Implementation of Parallel Algorithms Implement efficient parallel reduction and scan (prefix sum) algorithms. Apply these foundational techniques to operations like sum, min, max, and complex data structures.Warp-Level Programming and Data Shuffling Delve into warp-level primitives and understand how to use shuffle operations for efficient inter-thread communication within a warp.Leveraging the Thrust Library Explore the Thrust library's high-level abstractions for CUDA. Utilize STL-like APIs for streamlined implementation of parallel algorithms and data structures.Template Metaprogramming in CUDA Employ advanced C++ template metaprogramming techniques. Write flexible and efficient CUDA code that adapts to different data types and computational requirements.Multi-GPU Programming and Peer-to-Peer Communication Scale your applications across multiple GPUs. Implement data partitioning and leverage peer-to-peer communication for direct memory access between GPUs.Optimization of Register Usage and Occupancy Learn how to balance register usage to optimize occupancy. Fine-tune your kernels for better resource utilization and enhanced performance.Integration with CUDA Libraries Harness the power of NVIDIA's CUDA libraries like cuBLAS, cuFFT, and cuRAND. Perform efficient linear algebra operations, fast Fourier transforms, and random number generation.Whether you're developing high-performance simulations, complex data analyses, or cutting-edge machine learning models, this book equips you with the skills to:Accelerate computational tasks by orders of magnitude.Optimize applications for maximum efficiency on NVIDIA GPUs.Implement advanced parallel algorithms and data structures.Integrate modern C++ features seamlessly with CUDA programming.Embark on a transformative journey into the realm of GPU computing. Unlock new levels of performance and efficiency in your applications with the advanced techniques and expert guidance provided in this essential resource for CUDA programming in C++.
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AR$214.993
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AR$85.996
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