Erhältlich:
Nicht auf Lager
Buch (Softcover): Fachbuch
AI NPU Architecture and Implementation
A Full-Stack Approach to AI Accelerator Development, Verification, and Benchmarking
Verlag:
Independently Published Unsere-Artikel-Nr.: P35154676
EAN: 9798188197308
Erhältlich:
Nicht auf Lager
Zustellung: Di, 29.09.2026
Versand: Kostenlos
CHF 51.50
Beschreibung
Have you ever wondered how modern AI chips achieve incredible performance while consuming less power than traditional processors. Have you wanted to understand what goes into designing an AI accelerator from the ground up instead of simply using one. AI NPU Architecture and Implementation. is a practical, end-to-end guide that takes you through the complete process of designing a Neural Processing Unit (NPU). From architectural planning and hardware modeling to RTL development, custom instruction sets, compiler integration, FPGA implementation, and performance optimization, this book provides the technical foundation needed to understand and build AI accelerator hardware with confidence. Whether you're a student, FPGA developer, hardware engineer, computer architect, or AI enthusiast, this book explains complex concepts in a clear, structured manner while emphasizing practical engineering techniques used in modern AI processor development. What You'll Learn. Build a solid foundation in AI processor architecture and digital design. Model hardware architectures using Python before RTL implementation. Design synthesizable Verilog modules and reusable hardware components. Develop arithmetic units, processing elements, and tensor compute engines. Design efficient systolic arrays and optimized memory architectures. Create a custom instruction set architecture for AI workloads. Understand processor pipelines, datapaths, and control logic. Build compiler, assembler, and software toolchain components. Perform simulation, functional verification, and hardware debugging. Deploy designs on FPGA platforms and validate hardware performance. Execute neural networks efficiently using custom AI hardware. Optimize throughput, latency, memory bandwidth, and power consumption. Design secure, reliable, and scalable AI accelerator architectures. Explore advanced topics including multi-core NPUs, chiplets, processing-in-memory, and future AI processor technologies. Complete practical projects that combine every stage of AI accelerator development into a complete working system. If you're ready to move beyond theory and learn how professional AI processors are architected, implemented, verified, and optimized from scratch, this book is your complete roadmap. Get your copy today and start building the skills needed to design the next generation of AI hardware.
Spezifikationen
Sprache
- Englisch
Autor
- Gregory A. Norwood
Erscheinungsjahr
- 2026
Format
- Buch (Softcover)
Anzahl Seiten
- 346