Deliver uncompromised performance for diverse workloads across multiple architectures.
URL: https://github.com/jason-designer/SpMV-using-oneAPI
稀疏矩阵与密集向量的乘法（SpMV）是一种重要的科学运算，是许多应用的性能瓶颈，因此提高SpMV的计算速度有重要意义。目前对SpMV的研究多基于GPU平台或multicore平台，对于近年来Intel逐渐成熟的oneAPI高性能计算平台的研究则较少，虽然oneAPI平台提供了SpMV的算法库，但其性能较弱。因此本项目基于oneAPI平台实现了LightSpMV算法，并为了适应oneAPI平台对其进行性能调优，调优后的算法相比于oneAPI平台提供的SpMV算法性能提高了1.97倍。算法代码已整理完毕，开箱即用。LightSpMV性能调优代码也整理完成，若后续Intel提供的硬件有变更也可以使用
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URL: https://github.com/Xiaozaichen/OneAPI_homework
使用intel oneAPI AI Analytics Toolkit对connect-4数据集加速使用支持向量机分类，connect-4数据集是记录了棋盘各种分布，并且带有输赢和平局的标签，使用该数据集训练SVM然后进行预测。 使用intel oneAPI HPC Toolkit对高斯消去法的矩阵计算加速
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a short matrix multiplication
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URL: https://github.com/shizia/Gaussian_Elimination
Gaussian Elimination based on Intel oneAPI
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URL: https://github.com/lss-1138/oneapi-fft
快速傅里叶变换(Fast Fourier Transformation，FFT)是一种利用计算机计算离散傅里叶变换(DFT)的高效、快速计算方法。本项目计划将FFT时间抽取算法进行MPI并行实现。
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URL: https://github.com/KID-1412-git/Image-Registration.git
采用并行算法，加速模板图片在原图上的区域匹配，得到匹配的区域。
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URL: https://gitee.com/Robin_Chan/hpc-crc64-openmp
Through Intel oneAPI software model, the CRC64 parallel computing based on C/C++ OpenMP Offload is implemented in Jupyter hub.
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URL: https://gitcode.net/qq_43786455/ge
a parallel algorithm of gaussian elinimation
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URL: https://github.com/EmorZz1G/my_vae
使用PyTorch构建VAE模型，并使用oneAPI中的oneDNN优化。
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URL: https://github.com/2576646482/matrix_multiplication.git
the implement of matrix-multiplication
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URL: https://github.com/G0atKing/Parallel-Algorithm-of-Sparse-Matrix-Multiplying
This project is based on Intel oneAPI to realize the parallelization of sparse matrix multiplication in COO format. Through SIMD vectorization, pThread multithreading, and openMP multithreading.
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URL: https://github.com/iamtomyum/DFER-oneAPI
A model for dog face emotion recognition
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URL: https://github.com/SneezeFor16Min/oneapi-parallel-pdqsort
Parallelized Pattern-Defeating Quicksort (2021) using Intel® oneAPI TBB and C++ 20 features.
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URL: https://github.com/rahulkarda/crypto-info-api
The API serves informational content for a wide variety of decentralized blockchains/cryptocurrencies and smart contract platforms.
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URL: https://github.com/lijinyong0618/MPIwithACOonTSP
Assignment Project for High Performance Computing at South China University of Technology. Solving TSP problems by parallelized ant colony algorithms. Created by Li Jinyong(202220143152) and Liu Yitong(201930330186).
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URL: https://github.com/MichaelTenma/TopK/tree/main
TopK是指在若干个数的序列中，找出K个最小（或最大）的数。本项目借助OneAPI在CPU多个核心上实现TopK算法的并行计算。本文通过并行快速选择算法寻找K个最小值，实现关键点在于将数序列划分成L块，每块的大小为B,对每块都进行快速选择算法，得出每块的前K小值，然后再对L块的全部前K小值，总计K*L个值，再进行快速选择，找出最终的前K小值，对于不同块而言，可以在不同的CPU核心上并行计算，以提高运算性能。
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URL: https://github.com/Ankur-singh/stable-diffusion
Stable Diffusion has changed the complete landscape of Generative Modeling. In this project, I plan to implement Stable Diffusion from scratch. The primary focus would be to use Intel Optimized libraries and packages.
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URL: https://github.com/seelabutk/rasty
Rasty is a wrapper around Ospray that offers a way to render geo-spatial data with information about the location mapped onto the meshes via a colormap. The expected input data is a geotiff file and a netcdf file.
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URL: https://github.com/acts-project/traccc
Project for GPU track reconstruction in high energy physics experiments
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URL: https://github.com/deepakjoshi2k/Machine-Learning-Exhibit-Art-Shipping-
My project is the complete analysis of the data of a Shipping Company. The main aim is to predict the cost of shipping provided the required entries were given but along with the EDA, it becomes much more than just the Cost Predictor.
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