Deliver uncompromised performance for diverse workloads across multiple architectures.
URL: https://github.com/cabelo/isolalert
Project created to analyze the behavior of the population, calculate the necessary distance between people to avoid contagion (COVID-19) and statistical processing of the number of people and vehicles in a given region.
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HPCToolkit is an open-source performance tool that is in some respects similar to VTune, though it also works on Power and ARM architectures. It also works on NVIDIA and AMD GPUs. Our aim is to also use it for performance analysis of Intel GPUs with Intel’s OpenCL to our targets as a prelude to A0
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URL: https://github.com/azeemx/fighting_covid19_with_ds_ml.git
In December 2019, A novel Coronavirus was found in a seafood wholesale market located in Wuhan, China., On 11 February 2020, WHO announced a name for the new coronavirus disease: COVID-19., And was recognised as a pandemic on 11 March 2020.
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URL: https://github.com/cabelo/orm
COVID-19 will change people's habits. We will use teaching and remote work (home office) more frequently, schools and companies will need to measure student performance and employee commitment.
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URL: https://github.com/arthurratz/intel_parallel_stable_sort_oneapi
A case-study of the classical three-way quicksort performance optimization using the revolutionary Intel® oneAPI HPC Toolkit
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URL: https://github.com/huxingyi/dust3d
Dust3D is a free and open source 3D modeling application that accelerates pipelines and allows for the creation of assets with texture and rigging automatically generated. It’s very intuitive and features auto UV unwrapping, auto-rigging, PBR Material support, as well as pose and motion authoring.
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URL: https://github.com/menotti/oil_gas_fpga
The objective of this project is to use GPUs and FPGAs to accelerate applications in the oil and gas area.
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URL: https://github.com/aiial/hias-all-oneapi-classifier
Combines Oculus Rift's Virtual Reality technologies with Intel's oneAPI, OpenVINO & Neural Compute Stick to provide real-time classification of Acute Lymphoblastic Leukemia Lymphoblasts in peripheral blood samples within a Virtual Reality environment.
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URL: https://openimagedenoise.github.io
Overview and demonstration of Intel® Open Image Denoise in Blender 2.82. This demo explains denoising for ray tracing and provides step by step example using the Intel® Open Image Denoise in Blender 2.82. The Intel® Open Image Denoise library, part of the Intel® oneAPI rendering toolkit
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URL: https://github.com/mmtokay/CropYield
Precipitation and temperature are the two main characteristics of weather and climate, they also play an important role on the outcome of crop yield. In this study the goal is try to predict crop yield for corn, wheat and soybeans using meteorological data using machine learning.
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URL: https://software.intel.com/oneapi/render-kit
Learn how to use the Intel® oneAPI Rendering Toolkit for high fidelity visualization and photo-realistic rendering and how it gets used in games today.
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URL: https://github.com/zjin-lcf/oneAPI-DirectProgramming
This repository contains a collection of data-parallel programs for evaluating oneAPI direct programming. Each program is written with CUDA, SYCL, and OpenMP target offloading. Intel® DPC++ Compatibility Tool (DPCT) can convert a CUDA program to a SYCL program
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URL: https://github.com/Apress/pro-TBB
The latest book on Threading Building Blocks (TBB) was recently published by Apress. The book comes with code samples available on GitHub. This project intends to port some of the examples to oneAPI to take advantage of the new features of this promising heterogeneous programming model.
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URL: https://github.com/cabelo/oneapi-antispoofing
Certiface AntiSpoofing use oneAPI for fast decode video for perform liveness detection with inference. The system is capable of spotting fake faces and performing anti-face spoofing in face recognition systems.
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URL: https://github.com/ginkgo-project/ginkgo
In this project, we want to explore the potential of having an Intel OneAPI backend for the Gingko software package: https://ginkgo-project.github.io/
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