Drive faster breakthroughs through faster code: Get more results on your hardware today and carry your code forward to the future with code modernization.
URL: https://github.com/BigWhitePolarBear/random-forest
基于OneAPI技术的并行随机森林实现，旨在提高随机森林算法的性能 Parallel random forest implementation based on OneAPI technology, aiming to improve the performance of random forest algorithm
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URL: https://gitee.com/mars0417/matrix_block_multiplication
矩阵乘法的一般形式是C=A*B，使用串行计算的矩阵乘法需要三层循环，操作次数为2*M*N*K。 为了减少矩阵乘法的计算成本，本实验决定对计算结果的矩阵C进行分块，分成大小相同的若干块，这些工作块的计算分别要用到矩阵A和矩阵B的部分行和列。由gpu并行进行工作块的计算，从而达到矩阵分块乘法的并行实现，提高矩阵乘法的效率。 在将矩阵分块计算的时候，读取内存的次数并没有改变，只是利用gpu并行计算将计算时间缩短。因此设置缓存块，在每一块的运算中，将工作块按照缓存块大小分割，单次循环缓存足以计算出缓存块大小的矩阵A和矩阵B的数据，减少迭代次数，从而减少访问内存的次数，实现矩阵分块乘法的缓存优化。
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URL: https://github.com/stan-maze/Parallel_Prime_Sieve.git
Parallel sieve method based on Esl's sieve
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URL: https://build.opensuse.org/project/show/home:cabelo:intel
Individual initiative in Brazil of the world's first Linux image with native kernel 6.2-rc5 or higher with Intel ARC stable open source driver. All GPU detection procedure takes place automatically during installation.
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URL: https://github.com/derolol/oneapi_dct
This project uses oneAPI to realize the parallelization of discrete cosine transform, and completes the performance test of the algorithm on the DevCloud platform
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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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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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A block square matrix multiplication implementation using MPI for system performance benchmarking
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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/sssqqqqqqq/sobel_dpct
Using dpct will be based on CUDA sobel operator detection code
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URL: https://github.com/sssqqqqqqq/rgb_2_pray_dpct
Using dpct will be based on CUDA gray image conversion code
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URL: https://beautifymemedicalcenter.com/
The goal of Beautify Me Medical Center is to become known as one of the best cosmetic clinics in the Emirates. We are really grateful to have a talented team of medical professionals with a variety of specialties in each area. We provide you the cosmetic therapy you require to boost your beauty and
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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://gitlab.com/JoD/exact
Exact is a 0-1 Integer Linear Programming solver which is able to solve some hard problems using Pseudo-Boolean constraint propagation. It could be faster.
Johann-Tobias Aaron Raphael Schäg
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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/juanjoseleongil/parallelProject
This project aims to develop highly optimized code for physics simulations using Python, C/C++ and FORTRAN, with runtime comparisons between serial and parallel code, as well as compilation differences between different architectures
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URL: https://github.com/sssqqqqqqq/pac_code/
This is the PAC preliminary exam, using ONEAPI and SYCL to write the program
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URL: https://github.com/Scientific-Computing-Lab-NRCN/In-NVRAM-ESR.git
This project includes the implementation of In-NVRAM Exact State Reconstruction (ESR) for the PCG solver, as we describe in https://arxiv.org/pdf/2204.11584.pdf. In this work we also plan to research recoverability (with NVRAM) of concurrent applications using OpenMP.
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URL: https://github.com/ManuelCostanzo/swsharp_oneapi
This project is based on SW# (https://github.com/mkorpar/swsharp), a CUDA software for biological sequence alignment. We migrated the CUDA software to SYCL using the oneAPI dpct tool and applied our modifications to the parts that the tool could not migrate.
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