MLIR Linalg Dialect 以及 Patterns | Lei.Chat()
之前的文章介绍了 Vector dialect 及其相关 pattern。 今天我们来看一下上层的 Linalg dialect 以及相关的变换。| Lei.Chat()
LLVMCGO25 - CARTS: Enabling Event-Driven Task and Data Block Compilation for Distributed HPC Hello everyone! I’m Rafael, a PhD candidate at the University of Delaware. I recently flew from Philadelphia to Las Vegas to attend the CGO conference, where I had the chance to present my project and soak in new ideas about HPC.| The LLVM Project Blog
Explanation of Static Single Assignment Algorithm for MLIR| Eduardo Blázquez’s Personal Webpage
LLVM has included a Fortran compiler “Flang” since LLVM 11 in late 2020. However, until recently the Flang binary was not flang (like clang) but instead flang-new. LLVM 20 ends the era of flang-new.| The LLVM Project Blog
Some time ago I was talking about an ahead-of-time Ruby compiler. We started the project with certain goals and hypotheses in mind, and while the original compiler is at nearly 90% completion, there are still those other 90% that needs to be done.| The LLVM Project Blog
之前的文章介绍了 Vector dialect 及其相关 pattern。 今天我们来看一下上层的 Linalg dialect 以及相关的变换。| Lei.Chat()
I explained the Vector dialect and related patterns in the previous blog post. In this one let us look at a layer higher and talk about the Linalg dialect and transformations around it.| Lei.Chat()
The vector dialect and related transformations are crucial components in the MLIR CodeGen flow for machine learning (ML). Today I will zoom in on it to explain its positioning in the overall picture, characteristics, important operations and transformations, and best practices of using it based on my experiences.| Lei.Chat()
Vector dialect 及其相关变换 (transformation) 是机器学习代码生成流程中的重要一环。 今天我们来仔细分析一下其定位、设计、特性，并介绍其中的重要操作 (operation) 和变换， 最后用实例来说明如何恰当使用 vector dialect 相关功能。| Lei.Chat()
The initial blog post in this series captured my overall take on the evolution trends of compilers and IRs. It also touched on LLVM IR, SPIR-V, and MLIR, explaining the problems they are addressing and design focuses thereof. Today I will expand on MLIR and talk about its dialect hierarchy for machine learning (ML) compilers systematically.| Lei.Chat()
在这个系列的首篇文章中我分享了对编译器和中间表示 (IR) 演进趋势的整体理解， 也讨论了 LLVM IR, SPIR-V, 和 MLIR 所要解决的问题以及相应的设计着眼点。 今天对 MLIR 做进一步展开，分析一下机器学习相关的 dialect 体系。| Lei.Chat()
总体介绍编译器和中间表示 (LLVM IR, SPIR-V, and MLIR) 的发展历史和演进趋势| Lei.Chat()
Overall discussion on compilers and IRs (LLVM IR, SPIR-V, and MLIR): why they are in their current manner and how they would evolve| Lei.Chat()
