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Item #:
243257277
AI NPU System Design with Python and Verilog: Building from Scratch: A Complete Guide to Modeling, Custom ISA, Compiler, and FPGA Implementation
88% of respondents would recommend this to a friend
Item #:
243257277
QAR 284
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AI NPU System Design with Python and Verilog provides a rigorous academic and practical framework for designing a Neural Processing Unit (NPU) from the ground up.
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What Stands Out
Comprehensive Guide
This book provides a thorough step-by-step approach to designing AI NPU systems, ensuring readers gain a deep understanding from modeling to FPGA implementation.
Custom ISA Focus
Emphasizes the creation of a custom Instruction Set Architecture, allowing readers to tailor solutions to specific AI workloads, enhancing performance and efficiency.
Multi-Platform Integration
Covers Python for high-level design and Verilog for hardware description, ensuring versatility for engineers and developers seeking cross-platform skills in AI design.
Product Details
| Publisher | Independently published |
| Publication date | 9 Feb. 2026 |
| Language | English |
| Print length | 292 pages |
| ISBN-13 | 979-8247600367 |
| Item weight | 644 g |
| Dimensions | 17.78 x 1.75 x 25.4 cm |
Who Should Buy?
-
Students and Learners
Ideal for those pursuing education in computer architecture and interested in AI and hardware design.
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Professionals in AI
Beneficial for engineers and developers working on AI systems and custom processor designs.
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FPGA Engineers
Useful for engineers involved in FPGA implementation, seeking detailed guidelines on NPU system design.
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Beginner Programmers
Not suitable for individuals with little to no experience in programming or hardware design concepts.
Product Description
AI NPU System Design with Python and Verilog: Building from Scratch: A Complete Guide to Modeling, Custom ISA, Compiler, and FPGA Implementation
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Digital Electronics Editorial Review
AI NPU System Design With Python And Verilog: Building From Scratch provides a comprehensive guide for anyone looking to model a custom Instruction Set Architecture (ISA) and implement it using FPGA. The book, published independently and written in English, spans 292 pages, making it an extensive resource for both beginners and experienced developers. Readers commend its clarity and depth, noting that it effectively covers complex topics in a digestible format. The combination of Python and Verilog offers diverse approaches to system design, appealing to a wide range of technical enthusiasts. Its focus on hands-on implementation enables readers to apply learned concepts directly in projects, enhancing practical understanding.
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Pros
- Comprehensive guide for custom ISA modeling
- Covers both Python and Verilog effectively
- Extensive resource with 292 pages of content
- Ideal for beginners and experienced developers
- Hands-on implementation enhances practical understanding
Cons
- Some readers may find it too detailed in sections
Product Price History
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Features & Benefits
- Comprehensive guide for designing Neural Processing Units (NPU) from scratch.
- Utilizes both Python for modeling and Verilog for hardware implementation.
- Includes over 100 high-resolution color illustrations for enhanced understanding.
- Offers an open-source repository for hands-on learning with complete source code.
- Covers advanced topics like fixed-point arithmetic and custom Instruction Set Architecture (ISA).
- Ensures 100% numerical match through industrial bit-exact verification.
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