Domain Specific Architectures For Emerging Applications A Practical No Nonsense Guide To Designing Custom Chips For AI Edge Computing And Next Gen Compute Challenges

Domain-Specific Architectures for AI Edge and Next-Gen Compute
✔️ Single-copy, 416-page English edition on DSAs for AI edge computing

This book explains the system-level design methodology of domain-specific architectures (DSAs) and how to apply them to AI edge computing and next-gen compute challenges. It targets industry professionals and researchers working with accelerator hardware platforms, distributed systems, and the RISC-V open-source instruction set.

✅ 416 pages, 1st edition, English language
✅ Author: Wang, Chao
✅ Release date: 20-07-2026
✅ Covers machine learning, data mining, neural networks, graph algorithms, and RISC-V open-source instruction sets
✅ Focus on accelerator hardware platforms and distributed systems for AI edge contexts

💡 What is a domain-specific architecture book used for in AI edge computing and hardware acceleration? This handy guide helps readers understand when and why to apply DSAs. - DSAs map workloads to specialized accelerators and optimize performance - It covers system-level design methodology for domain-specific algorithms - It discusses RISC-V open-source instruction sets and tooling

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