stablehlo

A functional language for machine learning. Inspired by Clojure, compiled to GPUs.

Bringing StableHLO to Apple Silicon

Production inference server for Reactant-compiled models, serving KServe V2 over gRPC

Create StableHLO programs in R

a Haskell library and runtime for building, compiling, and executing machine learning programs targeting StableHLO

WGSL → NPU transpiler. Compiles WebGPU shading language to native NPU formats (CoreML, ONNX, TFLite, StableHLO).

Julia bindings for HLO dialects

XLA Launcher is a high-performance, lightweight C++ library designed to provide a simple interface for loading and executing computation graphs represented in the StableHLO format.

Torus-Oriented Runtime Compiler: tile-aware compilation for TPU torus topologies. A TPU-native DSL that turns declarative sharding annotations into hardware-aware execution, emitting StableHLO for XLA/GSPMD.

Tensor Logic as a StableHLO-emitting DSL for PJRT runtimes

Run JAX on MacBook Apple GPUs with pinned Metal/MPS profiles, jax-metal/jax-metallib compatibility checks, CPU fallback, and benchmarks.

Technical architecture analysis and proposed 3×3 benchmarking protocol for the OpenXLA compiler across TPU v6e, NVIDIA H200, and AMD MI300X. Companion site + paper (DRAFT v2, April 2026).

Miami University Undergraduate Summer Scholars program, tensor processing unit research repository

Graph-native numerical computation for Rust, compiled to XLA

High-performance JAX-to-TensorRT compilation pipeline and decoupled gRPC streaming inference server for quantitative trading architectures.

Autodiff for Kotlin, compiled not traced. A K2 compiler plugin turns grad {} into gradient code; lowers to StableHLO and runs on GPU via PJRT or IREE.

A dependency-free Python client for the PJRT C API and the XLA FFI. Run compiled ML programs on CPUs, GPUs and TPUs from pure Python.