oneAPI

Deliver uncompromised performance for diverse workloads across multiple architectures.

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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HPCToolKit

URL: http://hpctoolkit.org/

Description:

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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Using Intel Technologies & Oculus Rift to detect Acute Lymphoblastic Leukemia (ALL) Lymphoblasts

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

Description:

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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Intel® Open Image Denoise in Blender - GDC 2020

URL: https://openimagedenoise.github.io

Description:

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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Predicting Corn, Wheat and Soybean Yield

URL: https://github.com/mmtokay/CropYield

Description:

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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Open-source Scientific Applications and Benchmarks

URL: https://github.com/zjin-lcf/oneAPI-DirectProgramming

Description:

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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Pro TBB Book code samples ported to oneAPI

URL: https://github.com/Apress/pro-TBB

Description:

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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