MLIR:扩展特定领域计算的编译器基础结构

Chris Lattner, M. Amini, Uday Bondhugula, Albert Cohen, Andy Davis, J. Pienaar, River Riddle, T. Shpeisman, Nicolas Vasilache, O. Zinenko
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引用次数: 190

摘要

这项工作提出了MLIR,一种构建可重用和可扩展编译器基础结构的新方法。MLIR解决了软件碎片、异构硬件的编译、显著降低了构建特定领域编译器的成本,以及将现有编译器连接在一起。MLIR有助于在不同的抽象层次和跨应用领域、硬件目标和执行环境中设计和实现代码生成器、翻译器和优化器。这项工作的贡献包括(1)将MLIR作为一个研究工件进行讨论,该工件是为扩展和进化而构建的,同时确定了这种新设计、语义、优化规范、系统和工程带来的挑战和机遇。(2)将MLIR作为一种通用的基础设施进行评估,它可以降低构建编译器的成本——描述不同的用例,以显示未来编程语言、编译器、执行环境和计算机体系结构的研究和教育机会。本文还介绍了MLIR的基本原理、原始设计原则、结构和语义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MLIR: Scaling Compiler Infrastructure for Domain Specific Computation
This work presents MLIR, a novel approach to building reusable and extensible compiler infrastructure. MLIR addresses software fragmentation, compilation for heterogeneous hardware, significantly reducing the cost of building domain specific compilers, and connecting existing compilers together. MLIR facilitates the design and implementation of code generators, translators and optimizers at different levels of abstraction and across application domains, hardware targets and execution environments. The contribution of this work includes (1) discussion of MLIR as a research artifact, built for extension and evolution, while identifying the challenges and opportunities posed by this novel design, semantics, optimization specification, system, and engineering. (2) evaluation of MLIR as a generalized infrastructure that reduces the cost of building compilers-describing diverse use-cases to show research and educational opportunities for future programming languages, compilers, execution environments, and computer architecture. The paper also presents the rationale for MLIR, its original design principles, structures and semantics.
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