Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs

Exports of popular models in StableHLO

Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.githu…

Unified compiler/runtime for interfacing with PyTorch Dynamo.

A mini x86 linux debugger for teaching purposes

Playground with Neural Networks from scratch, using CPP

GroqFlow provides an automated tool flow for compiling machine learning and linear algebra workloads into Groq programs and executing those programs on GroqChip™ processors.

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks

💥💻💥 A data-parallel functional programming language

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

Porting Postgres Server to WASM [WIP]

Automatically install github workflows for different types of projects (auto publish npm, pip, etc.)

Emscripten: An LLVM-to-WebAssembly Compiler

Threads and Atomics in WebAssembly

A pure, low-level tensor program representation enabling tensor program optimization via program rewriting. See the web demo at https://gussmith23.github.io/glenside-web-demo/

Open Machine Learning Compiler Framework

Python library using the Futhark C backend via CFFI

A microbenchmark support library

Awk on the GPU

Multi-backend GPU query engine written with Futhark

8-ary heap