Volume 2 of MLIR Advanced Compiler Engineering dives deep into the practical application, optimization, and integration of MLIR for building high-performance, production-grade compilers. Designed for intermediate to advanced compiler engineers, DSL developers, and systems engineers, this volume extends beyond foundational MLIR concepts to focus on real-world workflows, scalable compiler architectures, and advanced code generation strategies.
In this volume, you will explore:
End-to-End MLIR Pipelines: Learn how to structure multi-stage lowering pipelines, manage IR replication across passes, and maintain type safety and memory efficiency throughout the compilation process.
LLVM Integration and Backend Optimizations: Gain practical knowledge on translating MLIR to LLVM IR, applying target-specific optimizations, and producing highly efficient executable code.
Profiling, Debugging, and Observability: Understand how to profile MLIR pipelines, detect performance bottlenecks, debug transformation passes, and visualize IR transformations using the MLIR logging subsystem and tooling.
DSL and HPC Applications: Discover how MLIR powers domain-specific compilers and high-performance computing applications, with practical examples in AI/ML frameworks and scientific computing.
Testing, Validation, and Scalability: Implement rigorous testing and validation workflows for large compilers, including fault detection, recovery, and incremental compilation strategies.
Extending MLIR and Open-Source Contributions: Learn how to create custom dialects, contribute to the MLIR ecosystem, and leverage emerging research trends to push the boundaries of compiler design.
Every chapter includes runnable MLIR and C++ examples, detailed step-by-step explanations, and actionable best practices for performance, reliability, and maintainability. Whether you are integrating MLIR into an existing compiler project or building a new DSL compiler from scratch, this volume equips you with the skills to construct modular, scalable, and high-performance compiler pipelines.
This volume assumes familiarity with basic MLIR concepts, LLVM IR, and compiler design principles. It is a continuation of Volume 1, moving from architecture and foundations to advanced production workflows, optimization techniques, and domain-specific compiler strategies.
By the end of this volume, you will understand how to harness the full power of MLIR in professional compiler engineering projects, enabling you to design compilers that are maintainable, performant, and extensible for modern systems.
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Paperback. Condition: new. Paperback. Volume 2 of MLIR Advanced Compiler Engineering dives deep into the practical application, optimization, and integration of MLIR for building high-performance, production-grade compilers. Designed for intermediate to advanced compiler engineers, DSL developers, and systems engineers, this volume extends beyond foundational MLIR concepts to focus on real-world workflows, scalable compiler architectures, and advanced code generation strategies.In this volume, you will explore: End-to-End MLIR Pipelines: Learn how to structure multi-stage lowering pipelines, manage IR replication across passes, and maintain type safety and memory efficiency throughout the compilation process.LLVM Integration and Backend Optimizations: Gain practical knowledge on translating MLIR to LLVM IR, applying target-specific optimizations, and producing highly efficient executable code.Profiling, Debugging, and Observability: Understand how to profile MLIR pipelines, detect performance bottlenecks, debug transformation passes, and visualize IR transformations using the MLIR logging subsystem and tooling.DSL and HPC Applications: Discover how MLIR powers domain-specific compilers and high-performance computing applications, with practical examples in AI/ML frameworks and scientific computing.Testing, Validation, and Scalability: Implement rigorous testing and validation workflows for large compilers, including fault detection, recovery, and incremental compilation strategies.Extending MLIR and Open-Source Contributions: Learn how to create custom dialects, contribute to the MLIR ecosystem, and leverage emerging research trends to push the boundaries of compiler design.Every chapter includes runnable MLIR and C++ examples, detailed step-by-step explanations, and actionable best practices for performance, reliability, and maintainability. Whether you are integrating MLIR into an existing compiler project or building a new DSL compiler from scratch, this volume equips you with the skills to construct modular, scalable, and high-performance compiler pipelines.This volume assumes familiarity with basic MLIR concepts, LLVM IR, and compiler design principles. It is a continuation of Volume 1, moving from architecture and foundations to advanced production workflows, optimization techniques, and domain-specific compiler strategies.By the end of this volume, you will understand how to harness the full power of MLIR in professional compiler engineering projects, enabling you to design compilers that are maintainable, performant, and extensible for modern systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798271217524
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Paperback. Condition: new. Paperback. Volume 2 of MLIR Advanced Compiler Engineering dives deep into the practical application, optimization, and integration of MLIR for building high-performance, production-grade compilers. Designed for intermediate to advanced compiler engineers, DSL developers, and systems engineers, this volume extends beyond foundational MLIR concepts to focus on real-world workflows, scalable compiler architectures, and advanced code generation strategies.In this volume, you will explore: End-to-End MLIR Pipelines: Learn how to structure multi-stage lowering pipelines, manage IR replication across passes, and maintain type safety and memory efficiency throughout the compilation process.LLVM Integration and Backend Optimizations: Gain practical knowledge on translating MLIR to LLVM IR, applying target-specific optimizations, and producing highly efficient executable code.Profiling, Debugging, and Observability: Understand how to profile MLIR pipelines, detect performance bottlenecks, debug transformation passes, and visualize IR transformations using the MLIR logging subsystem and tooling.DSL and HPC Applications: Discover how MLIR powers domain-specific compilers and high-performance computing applications, with practical examples in AI/ML frameworks and scientific computing.Testing, Validation, and Scalability: Implement rigorous testing and validation workflows for large compilers, including fault detection, recovery, and incremental compilation strategies.Extending MLIR and Open-Source Contributions: Learn how to create custom dialects, contribute to the MLIR ecosystem, and leverage emerging research trends to push the boundaries of compiler design.Every chapter includes runnable MLIR and C++ examples, detailed step-by-step explanations, and actionable best practices for performance, reliability, and maintainability. Whether you are integrating MLIR into an existing compiler project or building a new DSL compiler from scratch, this volume equips you with the skills to construct modular, scalable, and high-performance compiler pipelines.This volume assumes familiarity with basic MLIR concepts, LLVM IR, and compiler design principles. It is a continuation of Volume 1, moving from architecture and foundations to advanced production workflows, optimization techniques, and domain-specific compiler strategies.By the end of this volume, you will understand how to harness the full power of MLIR in professional compiler engineering projects, enabling you to design compilers that are maintainable, performant, and extensible for modern systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798271217524
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