Luminal: High-Performance Deep Learning Library Using Search-Based Compilation
By
jafioti
A baker's-dozen of insight crammed into one ring.
Summary
Luminal is a deep learning library that uses search-based compilation to achieve high performance. It's a Rust-based framework that allows users to build and execute computational graphs for deep learning operations with efficient compilation to CPU and GPU. The library provides a simple API for tensor operations and mathematical computations, with demonstrated usage including matrix multiplication and support for models like Llama 3 8B.
Key quotes
· 4 pulledLuminal is a deep learning library that uses search-based compilation to achieve high performance.
Deep learning at the speed of light.
To run the demo shown on HN on mac, clone this repo and run:
cx.compile(<(GenericCompiler, CPUCompiler)>::default(), &mut c);
You might also wanna read
tinygrad: A Simple Neural Network Framework Based on Three Core Operation Types
The article introduces tinygrad, a neural network framework that simplifies complex networks into three fundamental operation types: Element
Timber: AOT Compiler Converts Classical ML Models to Native C99 Code for High-Performance Inference
Timber is an open-source tool that compiles classical machine learning models (XGBoost, LightGBM, scikit-learn, CatBoost, ONNX) into native
github.com·3mo ago
Implementing HNSW Algorithm for Vector Search in PHP: A Practical Guide
This article explains the Hierarchical Navigable Small World (HNSW) algorithm for efficient vector similarity search, contrasting it with br
ONNX Runtime May Silently Convert Models to FP16 on Apple MPS Backend: Causes and Solutions
The article details a technical issue discovered in ONNX Runtime where models may be silently converted to FP16 (half-precision) when runnin
Debugging a PyTorch Bug: How a Training Loss Plateau Revealed Deep Framework Insights
A developer shares their experience debugging a training loss plateau in PyTorch that they initially assumed was their own mistake with hype
elanapearl.github.io·7mo ago
PyTorch Monarch: A New Framework for Complex, Dynamic Machine Learning Workflows
PyTorch Monarch is a new framework designed to address the challenges of modern ML workflows that are heterogeneous, asynchronous, and dynam
pytorch.org·7mo ago