Gluten is a middle layer responsible for offloading JVM-based SQL engines' execution to native engines.

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE))

Implementations of SIMD instruction sets for systems which don't natively support them.

SIMD Vector Classes for C++

Inference Llama 2 in one file of pure 🔥

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.

SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT

bitmap to vector graphics converter

Fast Clojure Matrix Library

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

🤖 A portable, header-only, artificial neural network library written in C99

Boost SIMD

A high-performance general-purpose MRF MAP solver, heavily exploiting SIMD instructions.

RiVEC Bencmark Suite

General Virtual Sketching Framework for Vector Line Art (SIGGRAPH 2021)

Approximate and vectorized versions of common mathematical functions

OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance.

Examples of C# code compiled to GPU by hybridizer