Mastering NVIDIA CUDA and Tensor Cores
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Home > Computing and Information Technology > Computer science > Computer architecture and logic design > Parallel processing > Mastering NVIDIA CUDA and Tensor Cores: A Complete Guide to High-Performance GPU Computing and Deep Learning Acceleration
Mastering NVIDIA CUDA and Tensor Cores: A Complete Guide to High-Performance GPU Computing and Deep Learning Acceleration

Mastering NVIDIA CUDA and Tensor Cores: A Complete Guide to High-Performance GPU Computing and Deep Learning Acceleration


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About the Book

Mastering NVIDIA CUDA and Tensor Cores: A Complete Guide to High-Performance GPU Computing and Deep Learning Acceleration Unlock the full potential of GPU acceleration and step into the future of high-performance computing with this definitive guide to NVIDIA CUDA and Tensor Cores. Whether you are a researcher, engineer, or developer, this book equips you with the tools and insights needed to harness GPUs for scientific simulations, deep learning, and large-scale AI workloads. Inside, you'll explore: CUDA Programming Fundamentals: Learn how CUDA cores enable massive parallelism and efficient GPU execution. Tensor Core Acceleration: Discover how Tensor Cores transform deep learning through mixed precision and matrix multiply-accumulate operations. Practical Code Examples: Work with authentic CUDA C++ and PyTorch implementations that demonstrate performance gains in real-world applications. Performance Optimization: Master techniques for memory coalescing, shared memory usage, kernel launches, and profiling with NVIDIA's Nsight tools. Deep Learning at Scale: Train and optimize models like ResNet, BERT, and transformers using FP16, BF16, FP8, and even FP4 formats. HPC Applications: Apply GPUs to scientific computing, molecular dynamics, and exascale simulations with double-precision Tensor Cores. Future Trends: Stay ahead with insights into multi-GPU programming, NCCL, microscaling formats, and the next generation of AI supercomputing. Designed for clarity and depth, this book bridges theory and practice providing not just concepts, but the working code and exercises you need to gain hands-on mastery. If your goal is to accelerate AI models, push the boundaries of high-performance computing, or optimize GPU programming for research and industry, this book is your essential companion. Take control of GPU acceleration today, get your copy of Mastering NVIDIA CUDA and Tensor Cores and start building faster, smarter, and more scalable applications.


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Product Details
  • ISBN-13: 9798266779365
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 244 mm
  • No of Pages: 238
  • Returnable: N
  • Sub Title: A Complete Guide to High-Performance GPU Computing and Deep Learning Acceleration
  • Width: 170 mm
  • ISBN-10: 8266779368
  • Publisher Date: 23 Sep 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 13 mm
  • Weight: 435 gr


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Mastering NVIDIA CUDA and Tensor Cores: A Complete Guide to High-Performance GPU Computing and Deep Learning Acceleration
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