Application to create a new SIG
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Note: The Charter of this SIG follows the convention described in the openEuler charter [README] (/en/governance/README.md), and follows [SIG-governance] (/en/technical-committee/governance/SIG-governance.md).
SIG Mission
- Build an AI infrastructure framework to provide key capabilities such as unified access of southbound XPUs (such as CPUs, GPUs, and NPUs), heterogeneous converged memory, heterogeneous converged virtualization, computing power segmentation, training resource priority configuration, and elastic migration. Enables full-stack adaptation of AI applications and helps enterprises build AI infrastructure solutions in scenarios such as training and promotion acceleration and hybrid deployment of training and promotion.
Repositories and description managed by this SIG
- tensorflow: A framework for deep learning
- libsvm: A Library for Support Vector Machines
- ComputeLibrary: ARM Compute Library
- arm-ml-examples: Machine learning examples used in Arm's ML developer space
- armnn: Arm NN SDK enables machine learning workloads on power-efficient devices
- oneDNN: Intel(R) Math Kernel Library for Deep Neural Networks
- pytorch: python deep learning framework
- SuperLUMT: Single precision real SuperLU routines for shared memory parallel machines
- glpk: GNU Linear Programming Kit
- octave: A high-level language for numerical computations
- sundials: Suite of nonlinear solvers
- opencl-headers:
OpenCL (Open Computing Language) header files - eigen: a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
- opencl: OpenCL ICD Bindings
- libxsmm: Library targeting Intel Architecture for specialized dense and sparse matrix operations, and deep learning primitives.
- dlib: A modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
- opennn: An open source neural networks library for machine learning.
- mlpack: A fast, flexible machine learning library, written in C++
- ensmallen: A flexible C++ library for efficient numerical optimization
- incubator-mxnet: Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility.
- opencv: OpenCV means Intel® Open Source Computer Vision Library.
- alluxio: Alluxio (formerly known as Tachyon) is a virtual distributed storage system.
- MindSpore: MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
- python-asttokens: Module to annotate Python abstract syntax trees with source code positions
Basic Information
Maintainers
- jimmy_hero
- weixizhu94
- sinever
- zhushoukui
- anhongkui