{ "item_title" : "MLIR and the Modern Compiler", "item_author" : [" Albert Cartwright "], "item_description" : "Stop Losing High-Level Semantics in the Compiler. Master MLIR and Engineer Custom Pipelines for Next-Gen Hardware. The era of monolithic intermediate representations is over. When building Domain-Specific Languages (DSLs) for modern AI hardware, GPUs, and custom Neural Processing Units (NPUs), relying solely on traditional LLVM IR creates an insurmountable phase-ordering dilemma. By the time your code reaches the optimizer, critical high-level structural semantics are completely lost, making advanced polyhedral loop transformations and hardware-specific memory mappings nearly impossible. MLIR and the Modern Compiler: Building High-Performance Domain-Specific Languages for Hardware Accelerators is the definitive, bare-metal engineering manual for the Multi-Level Intermediate Representation (MLIR) framework. This book provides compiler engineers, hardware architects, and C++ systems developers with the exact blueprints required to construct zero-overhead compilation pipelines that lower high-level domain operations directly into hyper-optimized machine code and synthesizable hardware logic. Inside, you will discover:Custom Dialect Architecture: Master the TableGen (ODS) infrastructure. Systematically declare custom operations, regions, traits, and interfaces to build fully modular, reusable intermediate representations.Progressive Lowering & Bufferization: Stop fighting memory allocations. Architect seamless conversion targets that lower high-level functional tensor abstractions down to structured MemRef operations with one-shot bufferization.Affine & Vector Optimizations: Weaponize the Affine dialect to execute multidimensional loop tiling and fusion. Drive structured polyhedral tracking to minimize cache thrashing and map vector operations natively onto hardware SIMD architectures.The Transform Dialect: Manipulate IR and orchestrate complex loop unrolling and thread mapping entirely through declarative optimization schedules-without writing a single custom C++ pass.GPU & NPU Emission: Execute complex GPU execution model mapping. Handle asynchronous memory transfers via token streams, and finalize MLIR modules into target-specific LLVM IR strings for bare-metal assembly.Hardware Synthesis Integration (CIRCT): Cross the software-hardware boundary. Lower structural dataflow semantics directly into synthesizable Verilog and SystemVerilog blocks while managing strict clock-cycle boundaries.THE COMPILER ENGINEER'S VAULT (Reference Configurations) Engineered for the practitioner who needs to bootstrap an out-of-tree MLIR project immediately, the Reference chapters provide production-ready utility:Minimal Dialect Scaffold: The complete, modern boilerplate C++ templates required to initiate a custom out-of-tree MLIR project.Custom Trait Matrix: A quick-reference architecture guide for defining memory effects, structural invariants, and side-effect profiles.Pipeline Optimization Flags: The definitive reference for mlir-opt and mlir-translate command-line configurations used in production environments.Stop fighting the limitations of legacy compilers. Master the MLIR ecosystem, design your own dialects, and bridge the gap between software algorithms and hardware execution.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/818/145/9798181450677_b.jpg", "price_data" : { "retail_price" : "29.99", "online_price" : "29.99", "our_price" : "29.99", "club_price" : "29.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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