sycl

OpenGL Mathematics (GLM)

High-performance implementations of AI kernels for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Powers PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.

Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

Intel staging area for llvm.org contribution. Home for Intel LLVM-based projects.

Samples for Intel® oneAPI Toolkits

SPHinXsys provides C++ APIs for engineering simulation and optimization. It aims at complex systems driven by fluid, structure, multi-body dynamics and beyond. The multi-physics library is based on a unique and unified computational framework by which strong coupling has been achieved for all involved physics.

SYCL Academy, a set of learning materials for SYCL heterogeneous programming

Peak compute, memory bandwidth and latency of CPUs, GPUs and NPUs: the same tests through every API that reaches a device. Command line and app for Windows, macOS, Linux and Android

This is a set of simple programs that can be used to explore the features of a parallel platform.

A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)

Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group

Portable and vendor neutral framework for parallel programming on heterogeneous platforms.

STREAM, for lots of devices written in many programming models

Collection of samples and utilities for using ComputeCpp, Codeplay's SYCL implementation

oneAPI Collective Communications Library (oneCCL)

Archived oneAPI specification sources. The current dynamic specification is maintained on the UXL Foundation website and in project documentation.

Open recipes, engine patches, and benchmark harnesses for LLM inference on Intel Arc Pro B60/B70 (Battlemage, Xe2). MoE 35B at 160 t/s decode / 7.5K t/s prefill single-stream, 27B at 50~ t/s decode / 1.7K t/s prefill single stream. vLLM XPU MTP unlocked. Muse Glimmer recipe added!!

OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.

A machine vision library written in SYCL and C++ that shows performance-portable implementation of graph algorithms