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Cuda

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Gregory Ruetsch

CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming

CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover t...

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CUDA Programming with Python: From Basics to Expert Proficiency

"CUDA Programming with Python: From Basics to Expert Proficiency" is an authoritative guide that bridges the gap between Python programming and high-performance GPU computing using CUDA. Tailored for both beginners and intermediate programmers, this comprehensive book elucidates the core concepts of...

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CUDA by Example: An Introduction to General-Purpose GPU Programming

“This book is required reading for anyone working with accelerator-based computing systems.” –From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunc...

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CUDA C++ Debugging: Safer GPU Kernel Programming (Generative AI LLM Programming)

This book covers CUDA C++ programming tools and techniques for safely running GPU kernels in the NVIDIA CUDA C++ environment, with coverage from beginner to advanced. Improve reliability without sacrificing performance and reduce development time by finding, fixing, and forgetting GPU coding errors....

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CUDA Handbook: A Comprehensive Guide to GPU Programming, The

The CUDA Handbook begins where CUDA by Example (Addison-Wesley, 2011) leaves off, discussing CUDA hardware and software in greater detail and covering both CUDA 5.0 and Kepler. Every CUDA developer, from the casual to the most sophisticated, will find something here of interest and immediate useful...

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CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing)

If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delv...

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Matthew Scarpino

CUDA 13: High-Performance Computation and Graphics

Unlock high‑performance computing with CUDA 13 Nvidia's GPUs offer a stunning amount of computational power, but harnessing that power requires the right tools. Whether you're crunching numbers, filtering images, or rendering graphics, CUDA will help you dramatically improve performance. Any progr...

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CUDA C++ Optimization: Coding Faster GPU Kernels (Generative AI LLM Programming)

Increase the efficiency of CUDA C++ kernels for AI and high-performance computing on the powerful NVIDIA GPUs. Leverage your GPU investment with the power of an efficient software layer. Main Topics - Speeding up CUDA C++ kernels - Parallelization and vectorization - Compute optimizations - Memor...

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Mastering CUDA C++ Programming, From Fundamentals to Advanced GPU Computing: A Complete Guide for High-Performance Programming, Optimization, and ...

Unleash the Power of Parallel Processing with CUDA C++: Mastering CUDA C++ Programming Dive into the world of GPU programming and accelerate your applications to new heights! Are you ready to harness the incredible power of parallel processing? Mastering CUDA C++ Programming is your comprehensi...

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Machine Learning with CUDA: Enhancing Neural Network Performance (GPU Mastery Series: Unlocking CUDA's Power using pyCUDA)

Unlock the full power of CUDA to supercharge your machine learning tasks! This comprehensive guide delves into the intricacies of CUDA, offering a treasure trove of insights and techniques to enhance neural network performance across a multitude of machine learning applications. Packed with hands-on...

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Real-Time Rendering with CUDA (GPU Mastery Series: Unlocking CUDA's Power using pyCUDA)

Unlock the full potential of real-time rendering with the power of CUDA! This comprehensive guide reveals the intricacies of CUDA-based rendering to create visually stunning and high-performance graphics. Dive into the fascinating world of modern rendering techniques, discover performance optimizati...

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Mastering CUDA Programming with C++: A Comprehensive Introduction

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 ...

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Mastering CUDA Programming with C++: A Comprehensive Introduction

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 ...

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Gareth Morgan Thomas

Advanced CUDA Programming: High Performance Computing with GPUs (GPU Expert Engineering: Mastering Design, Programming, and Optimization)

NOTICE: "All Code for this book and many more is at github BurstBooksPublishing" Advanced CUDA Programming: High-Performance Computing with GPUs is the ultimate guide to unlocking the full power of modern GPU computing. Whether you're developing AI models, optimizing scientific simulations, or pus...

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Getting Started with NVIDIA GPUs: A Beginner’s Guide to AI Acceleration with python, C++ and Cuda

Unlock the Real Power of Your NVIDIA GPU — Build, Accelerate, and Deploy Modern AI Systems Modern AI runs on one engine: the GPU. Whether you're training neural networks, running LLMs, building computer-vision models, or fine-tuning transformers, this beginner-friendly guide shows you exactly how ...

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Timothy Masters

Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain

Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You’ll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers sever...

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Advanced CUDA Techniques: Optimizing C++ Applications for Maximum Performance (Mastering CUDA Programming with C++)

Discover the cutting-edge techniques that will elevate your CUDA C++ programming skills to new heights. This comprehensive guide is an indispensable resource for expert programmers seeking to optimize their applications for maximum performance on NVIDIA GPUs. Delve deep into advanced concepts such a...

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Advanced CUDA Techniques: Optimizing C++ Applications for Maximum Performance (Mastering CUDA Programming with C++)

Discover the cutting-edge techniques that will elevate your CUDA C++ programming skills to new heights. This comprehensive guide is an indispensable resource for expert programmers seeking to optimize their applications for maximum performance on NVIDIA GPUs. Delve deep into advanced concepts such a...

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Modern CUDA C++ for Parallel Programming: A Practical Guide to GPU Programming and Building Scalable Kernels for LLMs, Transformers, and Generative AI

The future of GPU computing is no longer about faster chips—it’s about rethinking how we build parallel systems. Modern CUDA C++ for Parallel Computing takes you inside the architecture, tooling, and engineering mindset behind today’s most advanced AI workloads. From Blackwell-era GPUs to next...

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High-Performance GPU Computing with Python: Unlock Massive Speedups in Data Science and ML Using CUDA and Numba

Unlock 1000x Performance Gains, Without Leaving Python If your Python code is slowing you down, you’re not alone. Modern datasets, simulations, and AI workloads demand more speed than CPUs alone can provide. This book gives you the missing piece: the raw, massively parallel power of GPUs—made ac...

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