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270368503
Mastering PTX and SASS: A Practical Guide to GPU Architecture, Parallel Computing, Kernel Analysis, Memory Optimization, and Performance Tuning
Item #:
270368503
NGN 88035
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Mastering PTX and SASS bridges the gap between writing functional GPU code and understanding how that code is executed by the hardware.
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- Mastering PTX and SASSYour CUDA kernel compiles successfully. It runs correctly. The results are accurate.Yet performance remains far below expectations.For many GPU developers, this is where the real challenge begins. Profiling tools reveal untapped performance, but the reasons are often unclear. Adjusting compiler flags, changing block sizes, or experimenting with optimization techniques may provide small improvements, but without a deeper understanding of what happens beneath the source code, performance tuning can quickly become a process of trial and error.The answers lie beyond the CUDA source itself.They exist within PTX (Parallel Thread Execution), the intermediate representation generated by the CUDA compiler, and SASS (Streaming Assembler), the architecture-specific machine instructions executed directly by NVIDIA GPUs. Concepts such as register allocation, warp divergence, memory coalescing, instruction scheduling, occupancy, and pipeline utilization are determined at this lower level, where real performance gains are found.Mastering PTX and SASS bridges the gap between writing functional GPU code and understanding how that code is executed by the hardware.Designed as a comprehensive 14-chapter learning path, this book begins with the fundamentals of GPU architecture and parallel computing before guiding readers through the complete CUDA compilation workflow—from source code to PTX and finally to SASS. Along the way, you'll develop practical skills for analyzing kernels, identifying bottlenecks, interpreting profiling data, optimizing memory behavior, and improving overall application performance.What You'll LearnUnderstand GPU execution from the hardware's perspectiveFollow the complete transformation of CUDA code into PTX and architecture-specific SASSRead, analyze, and interpret PTX and SASS instructions with confidenceIdentify and resolve register pressure, occupancy limitations, warp divergence, and memory access inefficienciesUse profiling and disassembly tools to uncover performance bottlenecks with precisionConnect profiler metrics directly to instruction-level behaviorApply proven optimization techniques for memory, compute, and execution efficiencyBuild a systematic, repeatable workflow for GPU performance engineeringExplore advanced optimization case studies and real-world performance tuning strategiesUnderstand modern GPU infrastructure concepts used in AI, machine learning, and high-performance computing environmentsWho This Book Is ForThis book is ideal for:CUDA developers seeking a deeper understanding of GPU executionSoftware engineers building GPU-accelerated applicationsMachine learning and AI infrastructure engineers optimizing large-scale workloadsHigh-performance computing (HPC) professionals and researchersComputer science and engineering students studying parallel computing and GPU architecturePerformance engineers responsible for maximizing hardware efficiencyWhether you're developing scientific simulations, accelerating AI workloads, building data-intensive applications, or simply striving to become a more effective GPU programmer, this book provides the knowledge and practical techniques needed to move beyond functional code and achieve measurable performance improvements.The difference between writing GPU code that works and writing GPU code that performs lies in understanding what happens after compilation. By learning to analyze execution at the PTX and SASS levels, you'll gain the ability to diagnose bottlenecks with confidence, make informed optimization decisions, and fully leverage the capabilities of modern GPU hardware.If you're ready to stop guessing, start measuring, and unlock the performance hidden inside your kernels, Mastering PTX and SASS is your guide to getting there.
| Publisher | Independently published |
| Publication date | August 1, 2026 |
| Language | English |
| Print length | 209 pages |
| ISBN-13 | 979-8190240757 |
| Item Weight | 1.36 pounds (620 grams) |
| Dimensions | 8.5 x 0.48 x 11 inches (21.6 x 1.2 x 27.9 cm) |
Product Description
Mastering PTX and SASS: A Practical Guide to GPU Architecture, Parallel Computing, Kernel Analysis, Memory Optimization, and Performance Tuning
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NGN 88035
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Features & Benefits
- Unlock the full potential of your GPU code with in-depth knowledge of PTX and SASS.
- Master key concepts like register allocation, warp divergence, and memory coalescing.
- Develop essential skills for analyzing kernels and optimizing performance.
- Follow a structured 14-chapter guide from GPU architecture basics to advanced optimization techniques.
- Learn to use profiling tools to identify and resolve performance bottlenecks effectively.
- Perfect for CUDA developers, software engineers, and HPC professionals seeking to enhance their application performance.
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