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LLVM Code Generation: A deep dive into compiler backend development
English | 23 May 2025 | ASIN: B0F1331DWH | 622 pages | EPUB (True) | 4.50 MB
"If you're working in or interested in LLVM and code generation, this book should definitely be on your list. Highly recommended!" -Yacob (Kobi) Cohen Arazi, Software Engineer at NVIDIA. "If you're passionate about compilers and eager to stay ahead in this dynamic field, I highly recommend giving this book a read." -Arya Mazaheri, Co-founder of PanocularAI "I think that this book will lower the access barrier to LLVM significantly and very quickly be on the desks of compiler engineers and students." -Sebastian Hac, Professor (Compilers) at Saarland University Key Features Understand the steps involved in generating assembly code from LLVM IR Learn the key constructs needed to leverage LLVM for your hardware or backend Strengthen your understanding with targeted exercises and practical examples in every chapter Book Description The LLVM infrastructure is a popular compiler ecosystem widely used in the tech industry and academia. This technology is crucial for both experienced and aspiring compiler developers looking to make an impact in the field. Written by Quentin Colombet, a veteran LLVM contributor and architect of the GlobalISel framework, this book provides a primer on the main aspects of LLVM, with an emphasis on its backend infrastructure; that is, everything needed to transform the intermediate representation (IR) produced by frontends like Clang into assembly code and object files. You'll learn how to write an optimizing code generator for a toy backend in LLVM. The chapters will guide you step by step through building this backend while exploring key concepts, such as the ABI, cost model, and register allocation. You'll also find out how to express these concepts using LLVM's existing infrastructure and how established backends address these challenges. By the end of this book, you'll have gained a deeper understanding of LLVM. The concepts presented are expected to remain stable across different LLVM versions, making this book a reliable quick reference guide for understanding LLVM. What you will learn Understand essential compiler concepts, such as SSA, dominance, and ABI Build and extend LLVM backends for creating custom compiler features Optimize code by manipulating LLVM's Intermediate Representation Contribute effectively to LLVM open-source projects and development Develop debugging skills for LLVM optimizations and passes Who this book is for This book is for both beginners to LLVM and experienced LLVM developers. If you're new to LLVM, it offers a clear, approachable guide to compiler backends, starting with foundational concepts. For seasoned LLVM developers, it dives into less-documented areas such as TableGen, MachineIR, and MC, enabling you to solve complex problems and expand your expertise. Whether you're starting out or looking to deepen your knowledge, this book has something for you. Table of Contents Building LLVM and Understanding the Directory Structure Contributing to LLVM Compiler Basics and How They Map to LLVM APIs Writing Your First Optimization Dealing with Pass Managers TableGen - LLVM Swiss Army Knife for Modeling Understanding LLVM IR Survey of the Existing Passes Introducing Target-Specific Constructs Hands-On Debugging LLVM IR Passes Legacy Instruction Selection Framework - SelectionDAG Getting Started with the Machine Code Layer The Machine Pass Pipeline Getting Started with Instruction Selection Instruction Selection: The IR Building Phase Instruction Selection: The Legalization Phase

LLM-Powered Development Workflows: Designing, Building, and Scaling AI-Driven Software Systems for Modern Developers
English | December 30, 2025 | ASIN: B0GD67RL84 | 134 pages | Epub | 1.96 MB
Software development is breaking under its own complexity, and LLMs are the first tools powerful enough to fix it. LLM-Powered Development Workflows is a practical, production-focused guide to designing, building, and scaling AI-driven software systems that actually work in real-world environments. This book goes beyond prompts and demos to show how Large Language Models fit into modern development workflows across the entire software development lifecycle, from design and coding to testing, deployment, and operations. Rather than treating LLMs as chatbots or isolated agents, this book shows how to integrate them as structured, reliable components inside real systems. You will learn how to build end-to-end workflows that combine LLMs with code, data, tools, and human oversight to improve speed, quality, and decision-making without sacrificing control or reliability. By reading this book, you will learn how to: Design LLM-powered workflows that reduce development time and errors Build production-ready pipelines using prompt engineering, retrieval, memory, and orchestration Apply LLMs to real tasks like code generation, testing, ETL, recommendations, and QA systems Scale AI-driven systems with confidence using monitoring, versioning, and cost-aware design Avoid common failures such as hallucinations, brittle prompts, and unsafe automation What makes this book different is its focus on systems thinking. Instead of teaching isolated tricks, it provides a clear mental model for how LLMs behave inside software systems, how to design around their limitations, and how to combine them with traditional engineering practices. Every concept is grounded in real workflows, real trade-offs, and real constraints faced by modern developers. This book is written for software engineers, technical leads, and AI practitioners who want practical guidance, not hype, on how to use LLMs responsibly and effectively in production environments. If you want to move beyond experimentation and start building AI-driven systems you can trust, LLM-Powered Development Workflows gives you the structure, clarity, and confidence to do exactly that. Start building smarter workflows today.

LINEARE ALGEBRA I: Grundlagen und Anwendungen für Natur- und Ingenieurwissenschaften (Bachelor in Mathematik)
Deutsch | 17 Nov. 2025 | ASIN: B0G2MNZSGK | Pages not found | PDF | 5.36 MB
Algebra Lineare - Theorie, gelöste Aufgaben und Anwendungen Möchten Sie Lineare Algebra klar und schrittweise beherrschen? Dieses digitale Buch ist für Studierende der Natur- und Ingenieurwissenschaften, der Wirtschaft und der Informatik konzipiert, ebenso wie für Lehrkräfte und Autodidakten, die eine praktische, leicht zugängliche und portable Ressource suchen. In diesem E-Book finden Sie unter anderem: Vektoren und Vektorräume Matrizen und Determinanten mit schrittweisen Verfahren Lineare Gleichungssysteme mit den Methoden von Gauss und Cramer Eigenwerte, Eigenvektoren und Diagonalisierung Gelöste Aufgaben und vorgeschlagene Probleme in jedem Kapitel Digitale Merkmale: Angenehmes, flüssiges Lesen auf jedem Gerät Lesezeichen und sofortige Suche nach Themen Schritt für Schritt vollständig durchgerechnete Beispiele Klicken Sie auf „Jetzt kaufen" und nehmen Sie einen kompletten Kurs in Linearer Algebra überallhin mit. Serie: Bachelor in Mathematik Titel: Algebra Lineare - Theorie, gelöste Aufgaben und Anwendungen Auflage: Erste Auflage Veröffentlichungsdatum: November/September 2025 Sprache: Spanisch Pflichtexemplar (Depósito Legal): 2025-13273 Herkunftsland: Peru Autor und Herausgeber: Helbert Justo Luque Zevallos Verfügbar bei Amazon.

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