awesome-oneapi

(C++ based, from Intel) The ISO3DFD sample refers to Three-Dimensional Finite-Difference Wave Propagation in Isotropic Media; it is a three-dimensional stencil to simulate a wave propagating in a 3D isotropic medium. Starts with a simple serial implementation and shows how to use SYCL to offload to the GPU. Then shows how to optimize.

Demonstrator tracking chain on accelerators

Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scalable to many GPUs and machines.

Arpack ng is a collection of Fortran77 subroutines designed to solve large scale eigenvalue problems and is a community project maintained by volunteers.

The ATLAS Experiment is one of the general-purpose particle physics experiments built at the Large Hadron Collider (LHC) at CERN in Geneva. Its goal is to study the behavior of elementary particles at the highest energies ever produced in a laboratory help us better understand universe.

The 3D Gaussian Splatting method for 3D environment reconstruction from images brought significant advancements to photorealistic novel-view synthesis. It combines the advantages of primitive-based rendering with a differentiable renderer, thus obtaining state-of-the-art image quality and surpassing neural methods for scene representation in optimization and rendering speed.

Blender is the free and open source 3D creation suite. It supports the entirety of the 3D pipeline-modeling, rigging, animation, simulation, rendering, compositing, motion tracking and video editing.

Brayns is a large scientific visualization platform based on CPU ray tracing, using an extension plugin architecture. It comes with several pre-made plugins, such as CircuitExplorer and MoleculeExplorer, and requires several dependencies to build

ChameleonRT is an example path tracer that runs on multiple ray tracing backends including Embree, SYCL, DXR, Optix, Vulkan, Metal, and Ospray.

Embree is a high performance ray tracing library developed by Intel that targets graphics application developers to improve the performance of photo-realistic rendering applications. It includes various primitive types such as triangles, quads, grids, and curve primitives, and supports dynamic scenes. Embree also offers support for both CPUs and GPUs, while maintaining one code base to improve productivity and eliminate inconsistencies between the two versions of the renderer.

F3D is a fast and minimalist 3D viewer that supports multiple file formats and can show animations, supporting thumbnails and many rendering and texturing options including real-time physically based rendering and raytracing.

OCCA—an open source portable and vendor neutral framework for parallel programming on heterogeneous platforms—is used by mission critical computational science and engineering applications of public and private sector organizations including the U.S. Department of Energy and Shell.

Altis-SYCL is a SYCL-based implementation of the Altis GPGPU benchmark suite (originally written in CUDA) for CPUs, GPUs, and FPGAs.

ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs GPUs and other hardware acceleration devices. This project is to develop a oneAPI backend to the library which currently supports CUDA OpenCL and x86.

The "chip spv" project allows for the portability of HIP and CUDA applications to platforms supporting SPIR-V. Currently, it offers support for OpenCL and Level-Zero as low-level runtime alternatives. Selected BLAS and LAPACK Java bindings for Intel's oneAPI Math Kernel Library on Windows and Linux

The Compadre Toolkit provides a performance portable solution for the parallel evaluation of computationally dense kernels. The toolkit specifically targets the Generalized Moving Least Squares (GMLS) approach, which requires the inversion of small dense matrices. The result is a set of weights that provide the information needed for remap or entries that constitute the rows of some globally sparse matrix.

Selected BLAS and LAPACK Java bindings for Intel's oneAPI Math Kernel Library (oneMKL) on Windows and Linux.

A Highly Efficient GPU Framework for Fast Fourier Transform across Mixed Nodes. This library is being developed to support highly efficient distributed FFT computation on multicore CPU and GPU architectures.

AmgT, a new AMG solver that utilizes the tensor core and mixed precision ability of the latest GPUs during multiple phases of the AMG algorithm.

The Eclipse DeepLearning4J ecosystem supports all the needs for JVM-based deep learning applications with various libraries.

DeepRec is a recommendation deep learning framework based on TensorFlow, which has been developed since 2016 and supports core businesses such as Taobao search recommendation and advertising.

DiffKt is a general-purpose, functional, differentiable programming framework for Kotlin. It can automatically differentiate through functions of tensors, scalars, and user-defined types. It supports forward-mode and reverse-mode differentiation including Jacobian-vector and vector-Jacobian products, which can be composed for higher-order differentiation.

The Intel Deep Learning Streamer is an open source streaming media analytics framework based on the GStreamer multimedia framework. It is optimized for performance and functional interoperability between GStreamer plugins built on various backend libraries, with support for over 70 pre-trained models for various use cases.

Flashlight is a machine learning library written in C and created by Facebook AI Research. It features internal APIs for tensor computation, high performance defaults using just-in-time kernel compilation, and scalability

CTranslate2 is a C and Python library that optimizes inference with transformer models, supporting models trained in various frameworks. It implements various performance optimization techniques such as weights quantization, layers fusion, batch reordering, and more for benchmarks of transformer models on CPU and GPU.

Hachi is a locally hosted web app that enables natural language search for videos and images, using an AI-based machine learning model powered by OpenAI CLIP.

This repository is a fork of llama.cpp with better CPU and hybrid GPU/CPU performance, new SOTA quantization types, first-class Bitnet support, better DeepSeek performance via MLA, FlashMLA, fused MoE operations and tensor overrides for hybrid GPU/CPU inference, row-interleaved quant packing, etc.

A simplified API to Intel® DAAL that allows for fast usage of the framework suited for Data Scientists or Machine Learning users. Built to help provide an abstraction to Intel® DAAL for either direct usage or integration into one's own framework.

The Data Parallel C Book Source Samples repository contains code that accompanies the Data Parallel C: Mastering DPC for Programming of Heterogeneous Systems using C++ and SYCL book.

Hunting Dinosaur bones using AI

A tutorial step by step to run a classic Molecular Dynamics Simulation of a protein using GROMACS and building the ions box with PACKMOL.