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Dr. Chris Lattner

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2 Verified ArtifactsSource Checked & Attributed

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Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Dr. Chris Lattner. Every entry undergoes editorial source verification.

IMPLEMENTATION Checked Sep 21, 2026

The Mojo Programming Language for AI Hardware Kernel Development

Designed and built Mojo, a high-performance language that combines Python syntax and developer ergonomics with systems programming primitives, SIMD vectorization, and hardware-accelerated memory ownership.

Model & Execution Context:Modular MAX Engine, Mojo compiler, heterogenous CPU/GPU execution pipelines.

Scope & Limitations

Ecosystem packages and third-party library bindings are actively expanding relative to decades-old C++/CUDA tooling.

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RESEARCH Checked Sep 21, 2026

MLIR: Multi-Level Intermediate Representation for Heterogeneous AI Accelerators

Co-authored the landmark paper establishing MLIR, a unified compiler framework that bridges high-level machine learning graphs with diverse hardware accelerators (GPUs, TPUs, custom ASICs) through extensible dialects.

Model & Execution Context:C++ compiler framework, LLVM backend, dialect ecosystem (Linalg, Affine, Vector, GPU).

Scope & Limitations

Dialect conversions require rigorous domain-specific lowering pipelines for novel specialized silicon.

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