MLIR Insights | Sumble

What is MLIR?

MLIR (Multi-Level Intermediate Representation) is a compiler infrastructure developed as part of the LLVM project. It is designed to represent code at various levels of abstraction, from high-level language constructs to low-level machine instructions. MLIR facilitates the construction of domain-specific compilers and tools by providing a flexible and extensible framework for representing, analyzing, and transforming code. It's commonly used for building compilers for new programming languages, optimizing existing compilers, and accelerating domain-specific computations such as machine learning.

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What other technologies are related to MLIR?

MLIR Competitor Technologies

TVM

TVM is a compiler framework for machine learning systems, overlapping with MLIR in optimizing and compiling models for various hardware targets.

mentioned alongside MLIR in 53% (918) of relevant job posts

XLA

XLA is a compiler for TensorFlow graphs, providing an alternative compilation path to MLIR for TensorFlow models.

mentioned alongside MLIR in 50% (551) of relevant job posts

Glow

Glow is a machine learning compiler and execution engine, providing similar functionalities to MLIR-based solutions.

mentioned alongside MLIR in 57% (237) of relevant job posts

Halide

Halide is a language and compiler for image processing pipelines, which overlaps with MLIR in optimizing and generating code for image processing tasks.

mentioned alongside MLIR in 41% (121) of relevant job posts

JAX

JAX is a high-performance numerical computing library. While it can work with MLIR, it offers similar tracing, compilation, and optimization capabilities. It can be a front-end, but also a competitor for program representation.

mentioned alongside MLIR in 4% (390) of relevant job posts

TensorRT

TensorRT is a high-performance deep learning inference optimizer and runtime. It can be used instead of an MLIR-based compilation pipeline for NVIDIA GPUs.

mentioned alongside MLIR in 5% (216) of relevant job posts

ONNXRuntime

ONNXRuntime is a high-performance inference engine for ONNX models, providing an alternative execution path to MLIR-compiled ONNX models.

mentioned alongside MLIR in 18% (51) of relevant job posts