Chris Lattner created MLIR (Multi-Level Intermediate Representation) in 2018 at Google to solve the problem of fragmented compiler infrastructure across different hardware targets and programming mode…
Researchers have published a paper arguing that the design principles underlying MLIR, a compiler infrastructure for AI models, have formal theoretical correspondences that can clarify abstraction com…
MLIR, a compiler infrastructure framework, has become the foundation for numerous machine learning compilers including XLA, Triton, Mojo, Torch-MLIR, IREE, and ONNX-MLIR. It provides a reusable IR con…
Google launched Coral, a full-stack platform for edge AI that combines an AI-first hardware architecture with a unified developer experience to enable efficient, local AI processing. The platform prov…
Researchers have developed CPPL, a compiler-mediated hardware design framework that converts large language model-assisted circuit generation into a statically checkable frontend problem. The system c…