Image Registration
URL: https://github.com/KID-1412-git/Image-Registration.git
Description:
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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oneAPI
Deliver uncompromised performance for diverse workloads across multiple architectures.
Intel DevMesh/CRC64_OpenMP
URL: https://gitee.com/Robin_Chan/hpc-crc64-openmp
Description:
Through Intel oneAPI software model, the CRC64 parallel computing based on C/C++ OpenMP Offload is implemented in Jupyter hub.
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GaussianElimination_oneAPI
URL: https://gitcode.net/qq_43786455/ge
Description:
a parallel algorithm of gaussian elinimation
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VAE
URL: https://github.com/EmorZz1G/my_vae
Description:
使用PyTorch构建VAE模型，并使用oneAPI中的oneDNN优化。
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matrix_multiplication
URL: https://github.com/2576646482/matrix_multiplication.git
Description:
the implement of matrix-multiplication
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Parallel Algorithm of Sparse Matrix Multiplying
URL: https://github.com/G0atKing/Parallel-Algorithm-of-Sparse-Matrix-Multiplying
Description:
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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Dog Face Emotion Recognition
URL: https://github.com/iamtomyum/DFER-oneAPI
Description:
A model for dog face emotion recognition
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Parallel Pattern-Defeating Quicksort with Intel® oneAPI Thread Building Blocks
URL: https://github.com/SneezeFor16Min/oneapi-parallel-pdqsort
Description:
Parallelized Pattern-Defeating Quicksort (2021) using Intel® oneAPI TBB and C++ 20 features.
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Crypto Info API
URL: https://github.com/rahulkarda/crypto-info-api
Description:
The API serves informational content for a wide variety of decentralized blockchains/cryptocurrencies and smart contract platforms.
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MPIwithACOonTSP
URL: https://github.com/lijinyong0618/MPIwithACOonTSP
Description:
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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基于OneAPI的并行化快速选择TopK算法实现
URL: https://github.com/MichaelTenma/TopK/tree/main
Description:
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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Intel Optimized Stable Diffusion
URL: https://github.com/Ankur-singh/stable-diffusion
Description:
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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Rasty
URL: https://github.com/seelabutk/rasty
Description:
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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ACTS GPU R&D Projects
URL: https://github.com/acts-project/traccc
Description:
Project for GPU track reconstruction in high energy physics experiments
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Exhibition Art - Shipping Cost Predictor
URL: https://github.com/deepakjoshi2k/Machine-Learning-Exhibit-Art-Shipping-
Description:
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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Performance and Portability Evaluation of the K-Means Algorithm on SYCL with CPU-GPU architectures
URL: https://github.com/artecs-group/k-means
Description:
This work uses the k-means algorithm to asses the performance portability of one of the most advanced implementations of the literature, He-Vialle, over different programming models (DPC++, CUDA, OpenMP) and multi-vendor CPU-GPU architectures.
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oneAPI Video Processing Library Package for openSUSE Linux
URL: https://build.opensuse.org/package/show/home:cabelo:intel/intel-oneapi-onevpl
Description:
This project is an initiative to provide the oneAPI Video Processing Library packages for openSUSE Linux distributions.
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Direction Field Visualization with Python
URL: https://github.com/olutosinbanjo/direction_field
Description:
This project demonstrates the visualization of a direction field with Python using the differential equation of a falling object as a case study. The effectiveness of Heterogeneous Computing is also shown by exploring optimized libraries & added functionalities in Intel® Distribution for Python*.
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Modin gives Pandas wings
URL: https://www.kaggle.com/code/rishirajacharya/oneapi-modin-gives-pandas-wings
Description:
An element of the oneAPI AI Analytics toolbox is Intel® Distribution of Modin. With little any work, you can scale data analytics and speed up your current Pandas code. Learn how to run the same Pandas code 10, 20, or 30 times quicker.
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Answer sheet Assessment and Checking: oneAPI Deep Neural Network Project
Description:
Project on making a system using oneAPI Deep Neural Network Library to check and assess the answer sheets of thousands of candidates for various tests for organizations using ML/DL techniques Dataset: with the help of the MNIST dataset
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