Gpu & high-performance computing programming library (8 résultats)

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Etat : Neu. Neuware.

Etat : New. Print on Demand.

Taschenbuch. Etat : Neu. Neuware - Have you ever watched a senior developer fly through their code editor and wondered what you were missing Maybe you've been coding for a while now, but you still feel like you're only using ten percent of what your editor can actually do. You copy and paste when you could be using multi-cursor editing. You scroll for minutes looking for a function when a single shortcut would take you there instantly. You debug with scattered print statements instead of a real debugger. Sound familiar This book was written for exactly that moment of realization the one where you stop and think, 'there has to be a faster, smarter way to do this.' Inside, you'll find a complete, practical walkthrough of everything your code editor can genuinely do for you as a working developer. Not surface-level tips. Not a rehashed list of extensions. A real, structured path from beginner habits to professional-level workflows, covering: - Editor fundamentals most tutorials skip entirely, including multi-cursor editing, smart navigation, and personal snippet libraries- Git and version control, explained clearly enough that merge conflicts stop being terrifying- Real debugging skills, so you can stop guessing and start actually watching your code run- Testing strategies that make your code trustworthy, not just functional- Docker, containers, and remote development, explained in plain language- AI-assisted coding tools, used responsibly and effectively rather than blindly- Security habits that protect your code and your credentials before something goes wrong>Here's the honest truth: most developers never get taught this. They pick up fragments here and there, from random blog posts, from a coworker looking over their shoulder, from trial and error that takes years to add up to real fluency. This book compresses that entire journey into one clear, sequential guide, written the way a patient senior colleague would actually explain it to you without jargon you don't need, and without skipping the details that actually matter. Whether you're a self-taught coder trying to close the gap before your first job, a computer science student who wants to walk into an internship already looking sharp, or a working developer who knows there's a faster way and just hasn't found it yet this book meets you exactly where you are. So ask yourself honestly: are you using your tools, or are your tools using you It's time to change that. Turn the page, open your editor, and start building the kind of workflow that senior engineers spend years discovering by accident. You can learn it deliberately, starting today.…

Etat : New. Print on Demand.

Paperback. Etat : new. Paperback. Have you ever optimized a CUDA kernel only to discover it still runs far slower than expected with no clear explanation why?If you've experienced that frustration, you're not alone. The answer often isn't hidden in your C++ source code, it's buried in the PTX and SASS instructions your compiler generates.Most CUDA programming books teach kernel syntax, memory models, and launch configurations. Those are essential skills, but they only tell part of the story. True GPU optimization begins below the source code, where register allocation, instruction scheduling, memory access, and warp execution determine whether your application fully utilizes the hardware or leaves performance on the table.This book takes you beyond CUDA programming and into CUDA performance engineering.Through fifteen comprehensive chapters, you'll follow the complete journey of a CUDA kernel from high-level source code to PTX intermediate representation and finally to the native machine instructions executed by NVIDIA GPUs. You'll learn how to read GPU disassembly with confidence, identify performance bottlenecks, and make optimization decisions based on evidence rather than guesswork.Inside this book, you'll learn how to: Understand the complete CUDA compilation pipeline, from source code to native GPU instructions.Read and interpret PTX and SASS output to understand exactly what your compiler is generating.Diagnose register pressure, occupancy limitations, and instruction-level bottlenecks.Optimize memory access patterns for maximum bandwidth and cache efficiency.Identify, measure, and eliminate warp divergence that reduces execution efficiency.Understand Tensor Core and matrix acceleration instructions and verify when your kernels are using specialized hardware.Master professional profiling and performance analysis tools used in production GPU development.Build a systematic, repeatable workflow for diagnosing and optimizing CUDA applications with confidence.Learn Through Real Performance InvestigationsEvery chapter is built around practical, real-world examples rather than isolated code fragments. You'll examine kernels before optimization, analyze their generated instructions, identify performance issues, implement targeted improvements, and verify measurable results using industry-standard tools and methodologies.Rather than relying on trial and error, you'll develop the ability to explain why a kernel performs the way it does and how to improve it with precision.Who Should Read This Book?This guide is written for GPU programmers, systems engineers, high-performance computing professionals, machine learning infrastructure engineers, compiler enthusiasts, graduate students, and software developers who want a deeper understanding of CUDA performance. Whether you're building scientific applications, AI frameworks, graphics engines, or large-scale compute systems, the techniques in this book will help you optimize with greater confidence and accuracy.Stop Guessing. Start Understanding.The fastest CUDA developers aren't the ones who memorize optimization tricks they're the ones who understand what the GPU is actually executing.If you're ready to move beyond surface-level optimization and learn how to analyze, diagnose, and maximize GPU performance from the instruction level upward, this book is your definitive guide. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…