oneAPI

Deliver uncompromised performance for diverse workloads across multiple architectures.

Detecting Acute Lymphoblastic Leukemia Lymphoblasts with Tensorflow/oneAPI/OpenVINO & Neural Compute Stick

URL: https://github.com/aiial/hias-all-oneapi-classifier

Description:

An open-source classifier programmed using the Intel® Distribution for Python* and trained using Intel® Optimization for TensorFlow*. The model is deployed on a Raspberry 4 using Intel® Distribution of OpenVINO™ Toolkit and inference is carried out using Neural Compute Stick 2.

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Spatter

URL: https://github.com/hpcgarage/spatter

Description:

Spatter is a new benchmark tool for assessing memory system architectures in the context of a specific category of indexed accesses known as gather and scatter. OneAPI and DevCloud are used to develop support for a OneAPI backend for Spatter that can be targeted to Intel FPGAs.

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Intel ONE API DPC++ Vector Multiplication

URL: https://github.com/AbhiLegend/DPC-

Description:

The vector-multiplication is a simple program that multiplies Three large vectors of integers and verifies the results. This program is implemented using C++ and Data Parallel C++ (DPC++) languages for Intel(R) CPU and accelerators. In this example, you can learn how to use the most basic code in C

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Intel® Open Image Denoise in Blender Preview

URL: https://openimagedenoise.github.io

Description:

Overview and demonstration of Intel® Open Image Denoise in Blender 2.9. This demo explains denoising for ray tracing and provides step by step example using the Intel® Open Image Denoise in Blender 2.9 render preview. The Intel® Open Image Denoise library, part of the Intel® oneAPI rendering toolkit

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NASA Frontier Development Lab: Space Resources - Localization

URL: http://moonbench.space/

Description:

This project developed: (1) a virtual dataset designed to test automated localization algorithms on planetary surfaces, such as the Moon or Mars, where GPS is unavailable; (2) a neural network approach for absolute localization by matching orbital maps with surface perspective imagery.

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Boosting epistasis detection on Intel CPU+GPU systems

URL: https://github.com/hiperbio/cross-dpc-episdet

Description:

This work focuses on exploring the architecture of Intel CPUs and Integrated Graphics and their heterogeneous computing potential to boost performance and energy-efficiency of epistasis detection. This will be achieved making use of OpenCL, Data Parallel C++ and OpenMP programming models.

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Efficiency and productivity for decision-making on mobile SoCs

URL: https://bitbucket.org/corbera/vi-mdp/src/oneAPI/

Description:

Markov decision processes provide a formal framework for a computer to make decisions autonomously and intelligently when the effects of its actions are not deterministic. To solve this computationally complex problem, we experiment with scheduling on a low-power heterogeneous CPU+GPU SoC platform.

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A Parallel Max-Miner Algorithm For An Efficient Association Rules Learning (ARL) And Knowledge Mining Using The Intel® oneAPI Toolkit

URL: https://github.com/arthurratz/intel_max_miner_oneapi

Description:

This project demonstrates the using of the Intel® oneAPI library to deliver a modern code in Data Parallel C++, implementing a Parallel Max-Miner algorithm to optimize the performance of the association rules learning (ARL) process

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